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Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and architecture for the machine learning systems that power our data discovery and model improvement lifecycles. Rather than focusing on a single specialized domain, you will leverage your broad ML expertise to architect massive, scalable systems, from multimodal representation learning and active learning loops to hyper-efficient production inference. You will own system-level architecture, lead multi-quarter, multi-person initiatives, and partner across the engineering organization to unblock teams and influence our department-wide technical strategy. By establishing robust processes and mentoring those around you, you will ensure our ML platforms act as a reliable, mission-critical engine for the entire autonomy stack. What You'll Do: • Define Technical Strategy & Roadmaps: Develop and execute multi-quarter, high-impact technical roadmaps for core ML systems. Proactively inform leadership to guide reprioritization, ensuring initiatives consistently drive team-wide and department-level OKRs and KPIs., • Architect System-Level Solutions: Own the system-level architecture for complex ML products. Design scalable frameworks for massive data mining and highly optimized, real-time inference across GPU/CPU clusters., • Drive Cross-Functional Execution: Lead multi-person projects to completion across teams. Influence partner teams' technical roadmaps (such as Autonomy) to solve shared problems, break down silos, and build alignment., • Elevate Engineering Excellence: Establish department-wide standards for ML system design, code quality, testing, and deployment. Deliver processes to proactively address issues and participate in org-wide incident response planning., • Operate as a Generalist Expert: Apply a broad toolkit of ML techniques (deep learning, representation learning, active learning, generative AI) to solve complex, ambiguous problems. Unblock yourself and your team when facing unprecedented technical challenges., • Mentor and Lead: Act as a role model and technical go-to person. Coach Senior and junior engineers, lead architectural reviews, and elevate Motional's engineering culture through internal documentation, tech talks, and collaborative design. What We're Looking For (Must-Haves): • BS in Computer Science, Machine Learning, or a related field (or equivalent practical experience), • 8+ years of hands-on ML engineering experience, with a proven track record of owning architecture, deployment, and optimization of large-scale ML systems, • Demonstrated experience working with multimodal foundation models in ML production systems, including integration, scaling, fine-tuning, or deployment of models that process multiple data modalities (e.g., camera, LiDAR, radar, text), • Demonstrated technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy, • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization), • Broad ML generalist knowledge, with practical experience spanning model training, deep learning architectures, evaluation methodologies, and production deployment at scale, • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for latency, throughput, and hardware efficiency, • Proven ability to mentor peers, explain complex trade-offs to leadership, and drive consensus across disparate teams Bonus Points (Nice-to-Haves): • MS/PhD in Computer Science, Machine Learning, or a related field., • Background in autonomous driving, robotics, or complex real-time decision-making systems., • Experience with massive-scale ML data mining, active learning loops, and contrastive/representation learning., • Familiarity with multimodal learning, sensor fusion, or large foundation models., • Deep knowledge of model serving tools (TF Serving, Triton, TorchServe) and enterprise MLOps platforms., • Demonstrated experience leading org-wide severity reviews or establishing incident response planning for mission-critical ML platforms. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$205,000—$272,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Senior Software Engineer, AI & Analytics Data Enablement Location: Boston, MA As a Senior Software Engineer on Klaviyo's AI & Analytics Data Enablement team, you'll build and own the data foundations that power our Analytics & AI engine. You'll design resilient pipelines and analytics models that turn billions of events and domain objects into trusted, actionable insights for Analytics and AI product features. "Your work will help our customers understand the performance of their marketing and power AI & Analytics experiences for our customers." About the Role You'll join a cross-functional R&D team focused on the availability, quality, and usability of AI and Analytics data for our customers. In this Senior-level role, you'll lead complex software and data engineering projects across multi-component systems, from shaping requirements to design, implementation, and long-term operation. You'll be a go-to expert for AI and analytics data, collaborating with product managers, AI, analytics, and other engineering teams to ensure our data is accurate, observable, and ready to drive insights and enable AI/ML products at scale. You'll also help evolve our technical standards for data engineering, raising the bar on data modeling, performance, and reliability, while mentoring other engineers on best practices and modern data tooling. What You'll Do Lead the design and implementation of robust, scalable data pipelines and core tables for Klaviyo. These pipelines are crucial for powering customer facing analytics features and powering AI models to unlock the next stage of Klaviyo's products Partner with Product, Engineering, and AI/ML teams to define clear, consistent metrics and data contracts that align to business goals and product outcomes. Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up for example, using AI to generate tests, detect anomalies, summarize data issues, or accelerate analysis. Mentor other engineers in data engineering best practices, code quality, observability, and system design; contribute to shared libraries, patterns, and tooling that improve developer velocity across R&D. Who You Are 6+ years of software engineering with at least 4 or those being data engineering experience, with a strong track record building and operating data pipelines and analytics models in production. Deep proficiency in large-scale SQL and data modeling for analytics. Strong programming skills in a modern language commonly used for data engineering (e.g. Python), and familiarity with orchestration and transformation tooling (e.g., Airflow, EMR, Spark/pyspark, or equivalents). Experience working with modern data platforms (e.g., columnar data warehouses, object storage) and processing frameworks (batch and/or streaming). Demonstrated ability to lead complex projects spanning multiple components and engineers—driving clarity, making tradeoffs, and delivering measurable impact on reliability, performance, or business outcomes. Comfortable owning systems in production: you think about observability, incident response, incremental rollouts, and long-term maintainability as part of the design. Excellent communication skills; you can explain data tradeoffs and constraints to non-technical partners and influence decisions with clear reasoning. You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. Inclusive, low-ego collaborator who values diverse perspectives and is motivated by helping the team succeed, not just shipping your own code. Nice to Haves Experience in a product-led SaaS environment with large-scale event data Experience in a customer facing data engineering role supports AI/ML features and Analytics Dashboards. Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models). Experience building near real-time or streaming pipelines for user-facing analytics or monitoring. Domain experience in martech, marketing automation, or customer engagement platforms. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Why You Should Join the Onboarding Team The [Product Expansion / Activation] team at Klaviyo is focused on improving the early experience of Klaviyo for new customers. We work diligently to improve the rate at which customers are successfully setting up their Klaviyo account and gaining value from the platform. Engineers on the team use data to discover opportunities for improvement, implement A/B tests to validate ideas, and work across the product to iteratively improve UX and reduce friction for new customers. We are looking for great generalist software engineers with a passion for the experience-layer that have an interest in or experience with growing a user-base and building a great customer onboarding pipeline and experience. How You Will Make a Difference • In this role, you will implement user-experience improvements across the Klaviyo product, especially in areas that affect new customers., • You will design and implement A/B tests to validate ideas, and interpret the results of these tests to inform iterative improvements to the product., • You will collaborate with marketing, data-science, sales, and engineering teams to discover areas for improvement, as well as engaging with customers directly to learn more about how we can better serve their needs., • You will help us improve our experimentation and development processes, and mentor other engineers on the team., • You will clearly define the goal, constraints, and context for AI agents, while remaining responsible for the correctness of the implementation, with a focus on security, performance, and maintainability., • Have a background in full stack software engineering with experience building and improving products with an emphasis on user-facing features, along with the APIs and infrastructure to support them., • Passionate about growing and improving a product on a daily basis using a data driven mindset., • Experienced with A/B Testing products with metric based goals to improve user experience and customer acquisition and success (nice to have), • Demonstrated ability and success in using AI-driven software delivery practices and methods and/or a willingness and excitement to learn., • HTML, TypeScript, JavaScript, React, • Python, Django, • MySQL, Cassandra, RabbitMQ, Redis, • Amazon Web Services (EC2, RDS, Aurora, etc.), Terraform, Ansible, Packer, and other DevOps tools We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionAt WHOOP, we are on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking a Senior Data Platform Engineer to build and evolve the foundational infrastructure that powers our data platform, lakehouse, and real-time data systems. In this role, you will partner closely with data engineers, ML platform engineers, software engineers, and data scientists to design, develop, and operate the core services and workflows that enable reliable, scalable, and efficient data movement across the organization. As a senior individual contributor, you will own critical parts of the platform end to end - from architecture and implementation to reliability, observability, and operational excellence. You will help shape the technical direction of WHOOP’s data ecosystem, improve developer experience for internal data consumers, and ensure our systems can support analytics, machine learning, and product innovation at scale.This role requires a strong ownership mindset, the ability to operate with minimal guidance, and a focus on delivering production grade systems. You are also expected to actively leverage AI assisted development tools to improve speed, quality, and maintainability, and to help set the standard for effective AI usage across the team. RESPONSIBILITES: * Design, build, and operate the core infrastructure and services that power WHOOP’s data platform, including lakehouse, warehouse, and streaming systems. * Improve the performance, reliability, and cost efficiency of our data systems, including Iceberg, Snowflake, and AWS-based data infrastructure. * Build and enhance internal tooling, APIs, and automation that improve platform usability and developer experience for data engineers, analysts, and data scientists. * Lead platform engineering best practices across CI/CD, infrastructure as code, testing, deployments, and operational readiness. * Strengthen observability and operational excellence through monitoring, alerting, incident response, and continuous improvement of production systems. * Partner cross-functionally with Data Science, Analytics, ML Platform, and Software Engineering teams to support scalable and efficient data workflows. * Drive best practices for data architecture, pipeline design, governance, and platform usage across the company. * Leverage AI tools to accelerate development, improve code quality, and enhance debugging and documentation workflows QUALIFICATIONS: * 5+ years of experience in data engineering, platform engineering, or software engineering with significant ownership of production data systems. * Strong proficiency in Python and SQL. Java experience is nice to have. * Experience designing and operating scalable data platforms, pipelines, or distributed data systems in production environments. * Hands-on experience with Snowflake and modern cloud data infrastructure. * Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure. * Experience with orchestration frameworks such as Airflow or Prefect. * Strong understanding of CI/CD, infrastructure as code, and DevOps practices for data platforms. * Ability to independently drive technical projects and own systems end to end with a high degree of autonomy. * Strong communication and collaboration skills, with the ability to work effectively across engineering and data teams. * Commitment to leveraging AI-assisted development tools thoughtfully and effectively, while maintaining a high bar for engineering quality. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About the Role Klaviyo is looking for a Software Engineer II to join the Flows Platform team. In this role, you will help build and operate the core engine that powers all automated lifecycle programs at Klaviyo. You'll play a critical part in delivering robust, high-scale backend solutions that process billions of events, send millions of messages, and ensure our customers' automations run reliably and without delay. As a Software Engineer II, you'll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You'll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance. On the Flows Platform team, we focus on the core of Klaviyo's automation engine, ensuring that hundreds of millions of actions per day are processed accurately and efficiently to power user workflows. Our work revolves around the core backend systems that determine who receives a message and when, handling complex logic for triggering, filtering, and scheduling at massive scale. We also manage the data stores and infrastructure that support these operations, ensuring reliability while we actively re-architect our stack to support the next generation of event-driven features. We are responsible for: • Core Execution Engine: The logic for flow triggering, evaluation (filtering/branching), and action execution. We ensure that every event is processed accurately and efficiently., • Scheduling & Orchestration: Managing time-based logic, delays, and the dispatching of millions of scheduled actions per day., • 3+ years of experience in a software engineering role with a focus on backend systems and high-volume data processing., • Strong Backend proficiency: Deep experience building robust services and APIs using Python and Django (or similar frameworks)., • Distributed Systems knowledge and experience working with asynchronous task queues (e.g. Celery, RabbitMQ, Pulsar) and understanding the challenges of eventual consistency and distributed state., • Proficiency with relational databases (MySQL/Aurora) and high-scale NoSQL stores (Redis, or DynamoDB)., • A focus on writing clean, maintainable code, participating in code reviews, and leading robust testing practices (unit, integration, and load testing)., • Experience working in fast-paced environments and collaborating with other engineering teams to solve cross-functional problems., • Experience using AI coding tools like Claude Code or Cursor to accelerate development.Nice to Have, • Experience with Event-Driven Architecture and streaming technologies like Pulsar or Kafka., • Experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes)., • Experience creating technical designs for complex features or system migrations., • Background in building platforms that support other engineering teams., • Experience building cloud-native solutions, ideally on AWS We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Team overview The Core Infrastructure – Identity & Organizations (Core IO) pillar owns the foundational substrate for identity, access, organizations, and platform integrity at Klaviyo. We manage the critical path of the user journey from login, to enforcing permissions, to operating within the correct organization and regional context so that the rest of the platform can move fast and stay secure. Within Core IO, the Identity & Access Management (IAM) team builds and operates Klaviyo's centralized authentication and authorization platform for both humans and machines. We power login, SSO, MFA, SCIM, internal service auth, and external API auth, and we are in the middle of transforming Klaviyo's identity stack into a unified, enterprise-grade platform. Why this role is exciting • Shape Klaviyo's identity platform: You'll help design and build the services that every product team and customer relies on login, sessions, permissions, and secure service APIs are all on your roadmap., • High-leverage, platform-level impact: Your work will directly affect engineering velocity (auth as a shared service), Enterprise deal wins (SSO/SCIM/RBAC/ReBAC), and Data Residency (region-aware auth flows)., • Own features end-to-end across design, implementation, rollout, and observability for core authN/Z capabilities such as login flows, MFA, SSO enhancements, SCIM, sessions, and role/permission enforcement., • Contribute to auth platform extraction: Help move authentication and authorization paths out of the legacy monolith into dedicated micro services, including token verification, API key services, and internal service auth behind Kong and IdP platform., • Build and maintain shared SDKs and contracts that let internal teams adopt IAM services quickly (OAuth, machine auth, org-scoped authZ), making "secure by default" the simplest option for new surfaces and agents., • Collaborate with Organizations & Accounts to support org-scoped identity, multi-account SSO, and flexible org/account models that underpin enterprise experiences and cross-account analytics., • Partner with Platform Integrity & Protection (PAA), Security, and Compliance on secure patterns for account protection (MFA, recovery, device/session risk), ensuring IAM is a strong foundation for account security and anti-abuse controls., • Improve reliability and performance of IAM services by instrumenting metrics and alerts, debugging production issues, and contributing to on-call rotations and incident reviews., • Experienced systems builder: You have 2-5+ years of professional software engineering experience, including building and operating backend or full-stack services in production., • Strong fundamentals & debugging skills: You are comfortable reasoning about data models, API design, concurrency, and failure modes, and you can dig through logs, metrics, and traces to identify root causes and implement systemic fixes., • Security & identity motivated: You're excited by authentication, authorization, and account security problems and want to deepen your expertise in areas like MFA, SSO, SCIM, OAuth, and roles/permissions., • Platform/infra mindset: You like building reusable services and tools that other engineers rely on, including libraries, SDKs, and patterns that raise the floor for quality and security across the org., • Ownership & collaboration: You take responsibility for outcomes, not just code. You're comfortable driving a small project or component, coordinating with partner teams, and communicating trade-offs clearly in design docs and PRs., • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.Minimum qualifications, • 2-5+ years of professional software engineering experience., • Proficiency in at least one of Python, Go, or TypeScript/JavaScript, and comfort working on backend and/or service-oriented systems., • Experience building or operating web services or APIs backed by relational databases and/or caches (e.g., MySQL, Postgres, Redis)., • Familiarity with authentication or authorization concepts (sessions, tokens, OAuth, SSO, MFA, RBAC) and an interest in going much deeper., • Building or integrating with IdPs and identity protocols (SAML/OIDC, enterprise SSO, SCIM, OAuth, API key management)., • Working with cloud-native infrastructure (AWS, Kubernetes, Terraform, Kong, or similar API gateways and service meshes)., • Experience with high-scale distributed systems or performance-sensitive services where availability and latency targets matter (e.g., auth endpoints, org lookups, internal service auth)., • Familiarity with observability stacks (Grafana, Datadog/Splunk, internal metrics/logging frameworks) and using them to drive reliability improvements., • Languages & frameworks: Python, Django, Go, TypeScript/React., • Identity & access: OAuth, API keys, SSO, SCIM, MFA, roles & permissions, internal service auth SDKs. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionCompany Description To create revolutionary, story-driven RPGs which go straight to the hearts of gamers — this is our mission. Want to dive deeper into our company’s culture? Explore our social media and check out our YouTube channel where we share behind-the-scenes insights and stories direct from our team members! Job Description CD PROJEKT RED is looking for a Lead Tools Programmer to join our development efforts on Cyberpunk 2, the next mainline Cyberpunk 2077 game. The Lead Tools Programmer will build and lead a cross-disciplinary team to create, update, and maintain tools that boost the efficiency and effectiveness of content creators and developers. This includes essential tooling for pipeline management, build automation, art and animation, all requiring continuous documentation. Daily Responsibilities • Lead the design, implementation, and maintenance of in-house tools and systems to improve workflows across all disciplines., • Develop custom editor tools, content pipelines, and asset management systems that integrate seamlessly with Unreal Engine 5., • Collaborate with other departments to proactively identify bottlenecks, pain points, and opportunities for optimization., • Integrate and improve existing tools used across projects and the organization., • Work with production and recruiting teams to hire, onboard, and scope the tools engineering team.Distill tool support requests into meaningful, actionable work while effectively delegating to the team, ensuring deliverables are processed on time., • Propose tools or technologies that could enhance the ability to deliver great systems support., • Provide direct management and mentorship to your reports, fostering their professional growth and career ambitions. This includes 1:1s, performance management, hiring, and promotions., • Work closely with designers, artists, and other developers to understand their needs and ensure that your team is aligned across disciplines to deliver on the expectations., • Ensure the tooling pipeline is running efficiently across the board., • Write high-quality code that is optimized, bug-free, and aligned with project goals.Qualifications, • At least 5+ years of professional experience as a programmer within the games industry., • At least 2 years of experience in a leadership role., • Deep proficiency in C++ programming., • Extensive experience with Unreal Engine or similar AAA game engines., • Proficiency in UI/UX design, specifically with Slate, Editor Utility Widgets, or comparable frameworks., • Ability to think creatively and strategically to overcome technical challenges and drive innovation in technology., • Prior experience on a released AAA title., • Experience with a scripting language or system, such as Blueprint, Python, MEL., • Experience with Digital Content Creation software., • Experience with C#., • Experience with Build system software such as Jenkins, Horde. Additional Information The application window for this position will close by 10/30/2026. This job can be hybrid/in-office or fully remote. Remote roles in the US are only available to candidates that reside in the following states: California, Colorado, Connecticut, Florida, Illinois, Kentucky, Maryland, Massachusetts, Minnesota, Nevada, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Washington, Wisconsin. Health & Well-Being • Company-paid medical healthcare (dental, vision, and mental)., • Free mental health support, including access to counseling, psychiatric care, and a variety of well-being webinars., • Paid leave — 26 days of vacation, 10 sick days, & 12 calendar holidays per year., • 401K with employer matching., • Lifestyle Spending Account (LSA) – $100 per month to use towards fitness, wellness, internet, home office equipment, learning, streaming services, and more., • Menstrual leave — employees who menstruate can take one extra day off when experiencing period pain., • RED Parents Network — support for working parents., • Trainings, lectures, and courses — internal workshops, knowledge-sharing initiatives, online tutorials, and e-learning classes are all available., • Dog-friendly office — bring your pooch with you and look after them while working! There’s always a furry friend or two to meet., • Truly international working environment — a chance to meet and work with a diverse selection of people from all around the world. Estimated pay range for this position: $168,200 - $257,000 USD annually. At CD PROJEKT RED compensation for our roles in North America are determined based on competitive market data, geographic location, and individual factors tied to business needs. The base pay range is subject to change and may be modified in the future. Final offers are dependent on job-related factors like experience, qualifications, and location. If you've observed any irregularities (i.e. legal or ethical violations) in our recruitment process, please click here to report them anonymously.

Job Description At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care. One mission. One team. That's OneStudyTeam. By joining our team as a Senior Machine Learning Engineer, you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for an experienced ML engineer who is passionate about turning advanced AI research into scalable, real-world solutions. You thrive on solving complex problems, pay close attention to detail, and consistently seek to automate and improve processes. You shine as a collaborator and excel as an individual contributor, with the courage to tackle challenging problems and the humility to learn and adapt. Your initiative and discipline allow you to thrive while working remotely, and your high degree of empathy and communication skills makes you the kind of colleague everyone wants on their team. As an integral member of our fast-growing organization, you will leverage AI to transform clinical research and improve patient care. What You'll Be Working On: • Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes. Your work will deliver scalable machine learning solutions to complex, real-world problems in clinical research., • Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility. You'll also help expand our AI knowledge base architecture to support these innovative solutions., • Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale. You'll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc.), dbt, Prefect, and CI/CD automation with monitoring to ensure models are reliable and up-to-date., • Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into our platform (including Care Access products). Ensure these AI solutions seamlessly support and enhance clinical research workflows for end-users., • Continuously learn and innovate. Stay up-to-date with the latest developments in ML/AI (LLMs, NLP, probabilistic modeling, etc.) and proactively bring new ideas to the team. You'll have the freedom to experiment with cutting-edge techniques and turn promising prototypes into production features that drive our mission forward.What You'll Bring to OneStudyTeam:, • Extensive ML engineering experience: 5+ years of hands-on experience building and deploying machine learning solutions in production at scale. Proven ability to implement end-to-end ML pipelines from data ingestion to model serving for real-world applications used by real people., • Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks. Experience with functional programming (e.g. Clojure) is a plus but not required., • Cloud and MLOps expertise: Experience with modern cloud infrastructure (AWS or similar) and containerization tools like Docker. Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift to ensure reliable, scalable deployments., • Deep ML/AI knowledge: Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling. Familiarity with NLP and large language models is important., • Analytical problem-solving: Ability to break down complex problems and devise effective, efficient ML solutions. You balance pragmatic engineering with scientific rigor, ensuring models are not only accurate but also performant and maintainable in production. We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status. Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization. As a condition of employment, you will abide by all organizational security and privacy policies. This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here). Mandatory Employer Disclosures: Notice to Illinois applicants: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction. Notice to Connecticut applicants: OneStudyTeam may require applicants to submit to a urinalysis drug test in connection with an application for employment. Notice to Arizona, Georgia, Indiana, and North Dakota applicants: OneStudyTeam complies with applicable laws prohibiting smoking in and around places of employment. Notice to Massachusetts applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Notice to Rhode Island applicants: OneStudyTeam complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. OneStudyTeam is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws. Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Why You Should Join the Mobile Channels Team: The Mobile Channels team at Klaviyo powers text messaging across Klaviyo's platform — SMS, RCS, WhatsApp, and a growing set of future text messaging channels. Mobile is one of Klaviyo's fastest-growing product areas: as brands shift more of their owned-channel investment to mobile, our team builds the infrastructure that makes high-throughput, reliable delivery possible across a complex, multi-channel landscape. We own the systems that connect Klaviyo customers to their audiences through the fastest and most personal communication channels available — at scale, across geographies, and against a constantly evolving set of carrier, regulatory, and provider constraints. As a Senior Lead Software Engineer on the Mobile Channels team, you'll be the technical area lead for Mobile Channels — driving architecture and technical direction across the SMS, RCS, and WhatsApp teams, and the new channels we'll add next. You'll define the cross-team technical roadmap for the pillar, own the architectural patterns that bind the channels together (ingestion, routing, provider integration, status tracking, compliance automation, deliverability), and lead the most complex, multi-team initiatives end-to-end. This is a hands-on technical leadership role: you'll contribute to architecture and code, lead design reviews, mentor Lead and Senior engineers across multiple teams, and partner closely with Engineering Managers to keep our systems healthy as the surface area grows. If you're excited about being the senior IC who connects the technical strategy across an entire multi-channel messaging pillar — and doing it at one of Klaviyo's highest-growth product areas — Mobile Channels is the place to do it. How You Will Make a Difference: • Technical Strategy & Roadmap: Define and drive the cross-team technical roadmap for Mobile Channels, aligning architectural direction across SMS, RCS, WhatsApp, and emerging channels with company priorities and the broader Messaging Infrastructure strategy., • Multi-Team Architecture: Own the architectural patterns that span the pillar — message ingestion and routing, provider integration, status tracking, deliverability, opt-in/opt-out and compliance automation, multi-region readiness — and embed them into team roadmaps, not just documents., • Hands-On Technical Leadership: Stay in the code. Drive architecture and design across teams, lead high-stakes design reviews, build prototypes and reference implementations to de-risk decisions, and ship meaningful contributions yourself., • Reliability & Scale: Raise the bar on reliability across Mobile Channels — drive systemic fixes for recurring incidents, lead deep dives on the highest-impact production issues, and embed stronger guardrails (end-to-end testing in CI, readiness gates, observability standards) into how the teams ship., • Cross-Functional & Cross-Pillar Collaboration: Partner with Engineering Managers, Product, Deliverability, Compliance, and Platform leadership to sequence cross-team work realistically. Build durable peer relationships with senior technical leaders across Klaviyo's other engineering pillars to drive company-wide technical objectives that span multiple pillars — bringing the Mobile Channels perspective to those forums, and connecting our roadmap to the broader engineering strategy., • AI-Forward Engineering: Put AI at the center of how the teams build and how the systems run — model AI-fluent engineering practices yourself, and drive concrete improvements to operational and developer workflows (anomaly detection, synthetic load, runbook automation) across the teams., • Mentorship: Mentor other engineers regularly, primarily experienced lead and senior engineers across SMS, RCS, and WhatsApp, and represent Mobile Channels' technical bar in senior hiring., • Continuous Improvement: Stay current with how the messaging ecosystem and engineering craft are evolving — new channels, carrier and regulatory shifts, AI tooling, performance and reliability practices — and translate that into concrete, sequenced improvements for the teams.Who You Are:, • Experience: 12+ years of software engineering experience with a strong track record building and scaling distributed backend systems. Prior time as a Lead, Staff, or Principal engineer driving technical direction across multiple teams., • Hands-On Technical Depth: Proficient in Python and/or Go, and able to rapidly learn the other. Comfortable coding, reviewing, and debugging complex systems — this is a hands-on role., • Distributed Systems Expertise: Deep experience with high-throughput, event-driven, distributed architectures — ingestion pipelines, async processing, stateful workloads, eventing patterns, multi-region/data-locality concerns, and the failure modes that come with all of it., • Architectural & Strategic Skills: Demonstrated ability to define technical strategy and drive cross-team architectural decisions in ambiguous, high-stakes environments — and to commit to a call even when there's disagreement, backed by data and prototypes., • Cloud & Platform: Strong experience with AWS at scale; comfortable with Infrastructure as Code (Terraform), containerization, and modern observability stacks (metrics, logs, traces, SLI/SLO design)., • Business & Product Mindset: You think beyond the code — you understand customer impact, commercial value, and the cost-vs-conversion tradeoffs that come with mobile messaging — and you bring that mindset into architectural decisions., • Influence & Communication: Exceptional communicator; can articulate complex technical concepts to engineers, product leaders, and executives, and can rally multiple teams toward sequenced, realistic improvements., • AI Enthusiast: You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work — and the systems you build — smarter and more efficient., • Collaborative & Self-Led: Strong cross-functional partner; thrives in a hybrid team and high-autonomy environment; ships value early and iterates.Nice to Have:, • Experience with the SMS, RCS, or WhatsApp ecosystems, including channel-specific protocols, opt-in/opt-out semantics, and familiarity with key 3rd-party entities (carriers, providers, regulators) and compliance rules and best practices., • Background in performance optimization and a passion for digging into performance, scalability, and reliability issues to drive breakthrough solutions across distributed systems., • Experience with multi-region deployments, data residency, and large-scale data or service migrations with minimal downtime., • Familiarity with complex data management for testing, including large datasets and production-like data replication.Technologies We Use:, • Python, Go, • AWS, Terraform, DynamoDB, Redis, SQL Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$216,000—$324,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last. Klaviyo operates a real-time data platform built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines. Responsibilities The Data Automation team builds tooling that helps our Data Platform engineers provision and test infrastructure to power core Klaviyo functionality and generate data-driven insights. As an engineer on this team, you will be responsible for designing, building, and maintaining systems that help us operate our mission critical analytics infrastructure. You will work with a cross functional team to help design systems, create infrastructure, write high quality code, and operate large scale systems in a production environment. Team Tech Stack • AWS, • Python, • Terraform, • Kubernetes, • Clickhouse, • DynamoDB, • MySQL, • Kafka, • Spark, • Flink, • Iceberg, • AirflowRequired Skills, • Degree or equivalent experience in a software engineering discipline, • Proficient in using at least one modern programming language, • Able to communicate well, • Able to work with others on a team, • Able to learn continuously and adapt to a high growth environment, • Able to stick with and solve difficult problems, • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.Preferred Skills, • Experience designing, building, and operating distributed systems in a cloud computing environment, • Experience provisioning infrastructure using Terraform or a similar infrastructure as code tool, • Experience performance tuning and scaling systems, • Experience with OLTP and OLAP databases, • Experience with high volume data processing and storage systems, • Experience using Linux operating systems We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Software Engineer II to join the Business Systems team. In this role, you will design, build, and maintain internal tools and integrations that power our business operations. You’ll work cross-functionally with teams across WHOOP to ensure that our systems are scalable, reliable, and efficient, directly impacting how we serve members and scale the business. RESPONSIBILITIES: • Develop, test, and deploy scalable software solutions that support internal operations, including integrations between business applications and services, • Partner with stakeholders across Finance, Operations (Supply Chain, Manufacturing, Quality, Logistics), Membership Services, and other teams to gather requirements and translate them into technical solutions, • Interface with critical business systems: NetSuite, Salesforce, Stripe, Boomi, and more, ensuring reliability, performance, and security, • Contribute to the design and implementation of APIs, data pipelines, and automation to improve business efficiency, • Collaborate with other engineers to share knowledge, establish best practices, and improve engineering processes, • Work collaboratively in a high growth environment with a product minded approach, • Consistently deliver features and code with an iterative approach, • Coach and up-level engineers in your team and neighboring teams through direct and indirect mentorshipQUALIFICATIONS:, • BS in Computer Science, Engineering, or equivalent experience, • 2–4 years of professional software development experience, • Proficiency in at least one modern programming language (e.g., Python, Java, JavaScript/TypeScript), • Experience in API design, integrations, or middleware in a business systems environment, • Experience in relational database design, data modeling, and query optimization, • Strong problem-solving skills and ability to translate business needs into technical solutions, • Experience developing large scale, production-quality web applications, • Thrives with autonomy, with a positive attitude and ownership mentality, • Excellent communication and collaboration skills, with an eagerness to work cross-functionally, • Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributionsThis role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Lead AI Engineer At Klaviyo, we believe the future of software lies not in productivity tools for human users but in systems that can learn, run, and optimize themselves based on measurable outcomes. We've built the infrastructure and applications that power the interface between businesses and consumers — supporting over 182,000 customers, billions of consumer profiles, and hundreds of billions of customer interactions. Now, we're building the next generation of AI and machine learning technologies to power these products — enabling AI agents that can automatically create, execute, and optimize marketing and customer experience strategies for any business. As a Lead AI Engineer, you'll take ownership of designing, building, and scaling the backend and machine learning systems that form the foundation of Klaviyo's AI strategy. You'll partner closely with product managers, data scientists, and engineers to deliver intelligent, outcome-driven systems that operate at massive scale — while mentoring others and setting technical direction for the team. How You Will Make a Difference • Lead the design and development of backend and ML systems that scale to serve 182K+ customers., • Build robust, reliable, and efficient data processing and model-serving pipelines that power production ML models., • Develop and optimize predictive systems (e.g., conversion likelihood, engagement ranking, personalization, anomaly detection)., • Architect systems and services that enable our AI agents to learn and improve autonomously from reward or outcome signals., • Collaborate cross-functionally to translate business challenges into scalable, measurable ML solutions., • Collaborate with software engineers and product managers to turn predictive models into intuitive product features for our customers., • Mentor engineers and help evolve Klaviyo's ML engineering best practices, tooling, and architecture., • Foster a culture of ownership, experimentation, and data-driven innovation across teams. Who You Are • 7–10 years of experience in machine learning engineering or applied software engineering, with a focus on classical ML and predictive modeling., • Deep understanding of supervised learning methods such as random forests, XGBoost, logistic regression, and ensemble techniques., • Proven track record of building and scaling production-grade ML systems end to end (data pipelines, training, deployment, and monitoring)., • Experienced backend engineer comfortable with distributed systems and high-scale architectures., • Proficient in Python and modern frameworks (FastAPI, Django preferred)., • Skilled with big data and streaming technologies (Apache Spark, Kafka, Hadoop)., • Hands-on with asynchronous processing and distributed task queues (Celery, SQS, RabbitMQ, Redis)., • Strong understanding of databases and ORMs (SQLAlchemy, Alembic) and cloud-native architectures (AWS, Kubernetes, CI/CD)., • Excellent communicator who can set technical direction, influence product strategy, and mentor junior engineers., • Curious, pragmatic, and passionate about building AI systems that drive measurable business impact. Nice to Have • Experience training and deploying ML models in production environments that generated measurable impact., • Familiarity with reinforcement learning or agentic AI systems that adapt based on outcome or reward signals. #indeedRD We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$176,000—$264,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Job Title: Sr. Lead AI Engineer Location: Boston, MA This role is based in our Boston, MA hub (Hybrid-3x week). About the Role At Klaviyo, we believe the future of software isn't just better productivity tools for humans—it's systems that can run, optimize, and adapt themselves based on outcome and reward signals. We've already built the infrastructure and applications that sit between businesses and consumers—serving 183,000+ customers, billions of consumer profiles, and hundreds of billions of messages and conversion events. Now we're investing heavily in Marketing AI and Service AI: the shared services and agentic capabilities that power AI‑native experiences across Klaviyo. As a Sr. Lead AI Engineer in the AI & Analytics organization, you'll be the technical leader for a set of high‑impact AI services and agentic systems. You'll own architecture and execution for complex, distributed backend systems; guide other engineers through design and implementation; and partner closely with product, machine learning, and data science to turn AI ideas into reliable, scalable production capabilities. This is a hands-on tech lead role, not a people‑manager role. How You'll Make a Difference • Define and improve the engineering architecture for Service and Marketing AI capabilities. Lead the design of scalable, low‑latency backend systems and APIs that power our AI products and agents for 183K+ customers, handling billions of events and interactions., • Build and harden AI serving systems. Lead the development of services that host and orchestrate AI models (LLMs, tools, evaluators, retrieval systems), with clear contracts, SLOs, and observability so other teams can depend on them., • Evolve our agentic architecture. Drive the technical roadmap for Service and Marketing AI agents—improving tool use, autonomy, and reliability so agents can safely take actions on behalf of customers and internal users with minimal human intervention., • Set engineering standards for AI services. Establish best practices for evaluation, safety/guardrails, prompt and model versioning, offline and online tests, and incident response for AI‑backed systems; hold the bar for design reviews and code quality., • Lead cross‑team technical work. Act as the primary technical interface between Service / Marketing AI and other product/platform teams—clarifying ownership boundaries, aligning on interfaces, and unblocking dependencies across hubs and time zones., • Mentor and uplevel engineers. Coach senior and mid‑level engineers through design, implementation, and operational best practices, helping them grow into stronger system owners and future tech leads., • Help build the Palo Alto hub. Shape local engineering rituals, help with hiring and onboarding, and create healthy patterns for cross‑hub collaboration so work and career opportunities are not constrained by geography., • Measure what matters. Define and track key metrics for your systems—availability, latency, cost‑to‑serve, agent success rates, eval scores, and customer adoption—and use those insights to drive roadmap and technical decisions., • Transform engineering and product development workflows by putting AI at the center, building & utilizing agentic coding tools and AI-first working.Who You Are, • Seasoned backend engineer & tech lead. 8+ years of professional software engineering experience with a strong focus on backend and distributed systems; you've led complex projects or areas end‑to‑end and acted as the go‑to technical owner for key services., • Hands‑on with generative & agentic AI in production. You've built and shipped generative or agentic AI applications (e.g., LLM‑backed flows, tool‑using agents, retrieval‑augmented systems) and are comfortable with prompt design, few‑shot approaches, fine‑tuning, and evaluation., • Deep experience with large‑scale distributed systems. You've architected and operated reliable services, async processing pipelines, and distributed task queues (e.g., Celery, Kafka, SQS, RabbitMQ, Redis) supporting high‑throughput workloads., • Strong Python and data tooling fluency. Proficient in Python and modern backend frameworks (FastAPI, Django or similar), with experience using big data tools such as Spark/Hadoop and ORMs like SQLAlchemy/Alembic., • Production‑grade cloud experience. Comfortable with AWS and Kubernetes, CI/CD pipelines, observability, and operational best practices; you treat infrastructure choices as part of the system design, not an afterthought., • Evaluation and quality‑obsessed. You've designed human and automated evals for AI systems, know how to instrument for quality, and understand how to balance latency, cost, and response quality in real‑world usage., • Technical leader, not just individual contributor. You influence architecture beyond your own code, facilitate design reviews, rally cross‑functional partners, and help teams converge on pragmatic decisions in ambiguous spaces., • Collaborative and customer‑first. You're comfortable collaborating directly with PMs, ML engineers, and customers; you can translate between customer needs, product goals, and technical constraints, and you care deeply about the customer experience., • You've already been effectively practicing agentic coding in your daily work. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient., • Bonus: You use AI tools to accelerate exploration, shorten iteration cycles, and bring sharper ideas to the table—for yourself and your teammates.Nice to Haves, • Prior experience training and deploying ML models (including RL or RLHF) into production systems that drove measurable business impact., • Experience building shared AI/ML platforms or services used by multiple product teams., • Background in marketing tech, ecommerce, or other domains where customer data, personalization, and experimentation are central. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$216,000—$324,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Software Engineer to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally.RESPONSIBILITIES: • Architect, develop, and maintain backend services and APIs that power business-critical systems and integrations., • Lead the design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency., • Partner with stakeholders across the business to deeply understand needs and translate them into technical solutions., • Drive technical excellence through code reviews, best practices, and mentorship of other engineers., • Ensure reliability, performance, and security across backend systems, with a focus on scalability as WHOOP grows., • Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement.QUALIFICATIONS:, • BS in Computer Science, Engineering, or equivalent experience., • 5+ years of professional backend software engineering experience., • Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar)., • Experience designing and maintaining APIs, integrations, and middleware., • Solid understanding of relational databases, data modeling, and query optimization., • Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems., • Proven ability to collaborate cross-functionally and deliver solutions that balance business and technical needs., • Experience mentoring engineers and contributing to a culture of learning and growth., • Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Why You Should Join the PLS (Profiles, Lists and Segments) Team: The PLS team is responsible for building and scaling the core customer data experiences at Klaviyo — profiles, lists, and real-time segments. We own the tools that let customers understand who their users are, group them into meaningful audiences, and keep those audiences up to date as new data flows in. Our work underpins how customers target, personalize, and measure every message they send, making this product area core to Klaviyo's continued success. As a Senior Software Engineer on the team, you'll play a key role in designing and building scalable systems that power how customers manage and activate their data. Partnering closely with product managers, data scientists, and other platform teams, you'll help define scope, translate complex data and UX problems into practical implementations, and build intuitive workflows that give customers confidence in their audiences. This role leans frontend, with a strong focus on crafting thoughtful, reusable components and seamless user experiences using technologies like TypeScript, React, Python, and Django. There are ample opportunities for growth given the scope of this role and the team's central role in Klaviyo's product. How You Will Make a Difference: • You will be a core member of the PLS team, working on impactful customer-facing features that will make our product the best in the industry., • You will work on creating easy-to-use editors that are highly performant., • You will work closely with Product, Design, and Data Science to provide the best experience for our customers., • 5+ years of experience in full-stack development with strong hands-on skills in React, Redux, JavaScript, HTML, and CSS, along with familiarity with general web best practices., • Has a track record of delivering and shipping work powered by or accelerated through AI., • Experience conducting code reviews and running a robust testing cycle using automated testing practices and frameworks, including end-to-end and integration tests (e.g., cypress, pytest)., • Experienced with RESTful and GraphQL APIs, and evolving APIs and data models to support product success., • You take ownership of your work—from requirements and edge cases to implementation and testing—and are motivated by solving tough problems with others., • React, TypeScript, Redux, • Python, Django, • Amazon Web Services (EC2, RDS, Aurora, S3, etc.), Terraform, and other DevOps tools, • MySQL, RabbitMQ, Redis, ProxySQL We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description We're quickly growing and super excited for you to join us! About Topsort At Topsort, we believe in the mission of democratizing the secret technologies of the walled gardens and creating a privacy-first cookie-free world of clean advertising with modern tech, friendly products, and AI. We believe in making advertising intuitive, intelligent, and genuinely cool, without any of the creepy ads or cookie-obsession (well, maybe just the chocolate ones). In a rapidly changing industry, we're on a mission to democratize monetization access for all and ensure that advertising doesn't leave any brand or seller feeling confused or overwhelmed Today, Topsort has 6 major hubs worldwide, and employees in 13+ countries, including Menlo Park, Boston, Santiago Chile, São Paulo Brazil, Barcelona Spain, and Sydney Australia. We are a truly global company that was born in the pandemic that's had rapid growth since out of a genius product, a customer-first mentality, and a hardworking team of talented individuals. Since our founding in 2021, we've gained customers in retail, marketplaces, and delivery apps in 40+ countries and quickly approaching the #1 position in the industry. Do you enjoy a fast-paced environment? Do you like seeing your work create real-time impact, being part of a rocket ship from the very beginning? Let's do the unimaginable - let's make ads clean and cool again, with AI and modern technology. Why Topsort? Why now? Topsort is changing the way Retail Media works. By joining our scaling team, you'll feel your impact from day 1. The processes and messaging you build today will be a critical part of our foundation as we accelerate toward 200 Topsorters worldwide, and your innovations will leave a lasting mark on the industry, as a whole. Retail Media is on the verge of a new era, and Topsort is gathering the ecosystem together to shape a brighter future. Joining us now, you'll work directly alongside our co-founders and founding members to bring on Retail Media 3.0. If you're looking to define your career as something greater than yourself, come scale with us. What it's like to work at Topsort Our team is all about straightforward communication, embracing feedback without taking it personally, and fostering a super collaborative environment. It's a sports team that's hyper focused on winning, collaborative internally, and competitive externally - never the other way around. We thrive on working in the open, lifting each other up, and getting things done with a sense of urgency. We're the kind of team that loves making bold choices, sharing extraordinary opinions, and maintaining a 100 mph pace. No endless meetings here – if it can be done today, we're all about getting it done today. What is this role like? We are looking for a highly analytical Product Analyst with a builder's mindset to join our team. In this role, you won't just report numbers; you will be the bridge between complex data possibilities and real product value. You'll thrive here if you have a strong mathematical foundation, sharp product instincts, and the technical toolkit to deep-dive into datasets to uncover the "why" behind performance. We value intellectual curiosity and the ability to solve puzzles in a fast-paced environment. In this role, you will: * Drive Data Discovery: Use SQL and Python to navigate large datasets, identifying patterns and opportunities that drive product growth. * Master the Metrics: Interpret and refine KPIs with a clear understanding of statistical significance and expected targets. * Technical Advocacy: Act as a trusted advisor to both internal teams and external clients, translating complex technical insights into actionable product strategies. * Shape the Product: Work closely with Engineering and Product teams to ensure our data-driven culture is reflected in every feature we launch. * Visualization & Storytelling: Transform complex requirements into intuitive dashboards and visualizations that simplify decision-making. What (we think) you need to be successful We are looking for outlier candidates who are passionate about data and problem-solving. Whether you are an experienced professional or a high-potential talent from a rigorous academic background, we want to hear from you. * Analytical Rigor: A strong background in a quantitative field (such as Engineering, Math, Physics, Economics, or Computer Science) is highly valued. * Technical Toolkit: Proficiency in SQL is essential. Experience with Python for data analysis and statistical modeling is a significant plus. * Problem-Solving Instincts: Ability to think from first principles and handle ambiguity with a structured, logical approach. * Communication & Stakeholder Management: Exceptional ability to communicate technical concepts to both technical and non-technical audiences in Advanced/Fluent English. * Data Visualization: Familiarity with BI tools (Metabase is a plus) and a knack for creating clear, impactful reports. * Client-Facing Mindset: Comfort in dealing with external stakeholders and a proactive attitude toward solving their challenges. What We Value At Topsort, we seek professionals who embody the following qualities to drive our mission forward: • Deep dive into details: Professionals who are not content with superficial answers and dive deeply into the details to uncover root causes and optimal solutions., • Team first: A low need for individual recognition, always prioritizing collective results over personal credit., • You thrive with ambiguity: Exceptional ability to tackle open-ended problems in unstructured environments, turning chaos into structured innovation., • Adaptability: Willingness to learn, mentor, lead, and follow as the situation demands, fostering growth at all levels., • Urgency: A disproportionate sense of urgency in execution, while keeping scalability and the creation of replicable processes in mind to ensure long-term success.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Hybrid 3x/week out of Boston. At Klaviyo, we empower creators and businesses to own their customer relationships. Our platform processes billions of events and powers real-time personalization, automation, and analytics for thousands of customers. At the core of this platform is our data infrastructure — the systems that ingest, store, transform, and serve customer data at scale. About the Role The Profile Traits team owns how customer profile data is represented, stored, mutated, and served across Klaviyo. Profile traits are one of the most critical primitives in the platform: they power segmentation, personalization, flows, analytics, and emerging AI-driven features. As Engineering Manager, Profile Traits, you will lead a team of engineers responsible for building and scaling these foundational systems. This role sits at the intersection of distributed systems, data modeling, and product semantics, with a strong emphasis on correctness, performance, and long-term platform evolution. You will partner closely with product managers and adjacent platform teams (Events, Identity & Consent, Segmentation, Flows) to ensure profile data remains reliable, fast, and easy to reason about as Klaviyo continues to grow. What You'll Do • Lead, mentor, and grow a team of engineers building Klaviyo's profile traits platform, • Own systems responsible for profile attribute storage, mutation, and serving, • Drive technical and execution excellence across correctness, latency, and cost, • Partner with product and platform teams to define roadmaps and priorities, • Guide architectural decisions around schema evolution, consistency, and scale, • Participate in design and code reviews to maintain a high technical bar, • High-QPS, stateful systems supporting real-time and nearline profile updates, • Schema evolution and backward compatibility for long-lived customer data, • Mechanisms for trait computation, backfills, and data migrations, • Improving debuggability, observability, and operational maturity, • 8–10+ years of software engineering experience, • 3+ years of engineering management experience, • Experience owning and evolving stateful or data-intensive systems at scale, • Strong understanding of distributed systems tradeoffs, • Proven ability to coach and develop senior engineers, • Experience with high-QPS OLTP systems, • Background in data consistency, data modeling, or schema evolution, • Experience supporting both online and analytical workloads Profile traits are how customers experience their data in Klaviyo. Small decisions in these systems can have outsized impact — from segmentation accuracy to real-time personalization to AI-driven insights. This role offers the opportunity to shape a core platform capability while leading a team solving complex, high-impact technical problems. Technologies We Use Our stack evolves with our needs, but today includes: • Distributed services built primarily in Python and Go, • Cloud infrastructure on AWS, • Stream processing and data pipelines at scale, • A mix of real-time, nearline, and analytical data systems We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$176,000—$264,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionMission Summary: We are seeking a capable and highly motivated Engineer for our Developer Platform team to enable rapid and safe software delivery by providing a unified, efficient and reliable platform for all developers at Motional. You will join a talented team of engineers that focuses on improving the engineering experience and developer productivity of teams in Motional by providing them with the necessary tools and processes. You will collaborate closely with teams across the organization to identify pain points and drive initiatives that empower teams to deliver on Motional's mission. Your main focus will be on our real-time data pipeline which enables our AVs to communicate with our cloud services such as Command Center, Over-The-Air update systems, and ride hailing partners integration. This is a remote-first position based anywhere in the U.S. What you'll do: • Design, build, document, test, and maintain network, compute, and storage infrastructure of our cloud platform for the AV fleet., • Monitor, support, and resolve issues as they arise in production., • Assist with high-level analysis, system design, and code reviews., • Communicate with stakeholders and team leads to identify system requirements.What you'll be working on:, • Observability systems, CI/CD pipelines for integrations with ride hailing partners like Uber and Lyft., • Cost Optimizations, Performance Optimizations, Security Improvements of Cloud Systems., • Automation, services and LLM-integrated bots to reduce developer toil.What you bring:, • 2+ years of professional work experience as a Software Engineer/DevOps in designing and building distributed systems., • Experience with Golang / Python., • Experience with AWS (EC2, EKS, ECS, Lambda, VPC, S3, IAM, IOT)., • Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins)., • Experience with Infrastructure as Code (Terraform)., • Comfortable taking projects from ideation through to completion, with strong communication and collaboration across multiple international teams., • Comfortable working in a fast-paced, continuous delivery environment.Bonus points for experience with:, • Working with a globally distributed team., • Experience with serverless architectures, building systems using SQL and NoSQL databases., • Experience with time-series databases and monitoring tools (Prometheus, VictoriaMetrics, Grafana, Redash)., • Experience with GenAI solutions (Q Developer/Business, Gemini)., • Experience in Site Reliability Engineering., • Experience with error monitoring software (Sentry, Incident.io). The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $123,000 - $163,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter , LinkedIn , Instagram and YouTube . Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionOn Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company. What You'll Be Doing: You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include: • Designing and executing high value experiments based on collaborative input from other machine learning engineers, • Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities, • Timely release of major model updates, including analysis of both off-line and on-road evaluation data, • Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature, • Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluationWhat We're Looking For:, • In-depth understanding of common Machine Learning and Deep Learning algorithms, • Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking, • Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome, • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods, • Experience with PyTorch or other python-based deep learning frameworks, • Experience working with large data sets and deriving insights from data Bonus Points • Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.), • PhD in machine learning, computer vision, or robotics vision, • Experience working on autonomous vehicles or related fields, • Experience in deploying models into real-world environments, • Strong programming skills in C++ and/or CUDA programming, • This opportunity can support remote work within the United States, with occasional travel.Working Conditions While performing the duties of this job, the employee is frequently required to convey and detect communication The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment The employee may occasionally move up to 50 pounds The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $146,000 - $225,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter , LinkedIn , Instagram and YouTube . Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionPhotonic Test Development Engineer Job Title: Photonic Test Development Engineer Location: Cambridge, MA - relocation assistance offered! Compensation: $120K - $180K base DOE plus equity Requirement: Photonic Testing, Wafer-Level Testing, Device Characterization, DVT, Optics, PIC Testing, Python Position Overview We are seeking a highly skilled Photonic Test Development Engineer to join our team. This position focuses on developing and implementing testing solutions for photonic devices, ensuring their performance and reliability through rigorous testing methodologies and innovative measurement systems. Key Responsibilities • Develop and design test setups for photonic integrated circuits (PICs) and other optical devices., • Conduct optical testing and device characterization to evaluate performance parameters., • Utilize automated wafer probers for efficient wafer-level testing of photonic devices., • Collaborate with cross-functional teams to integrate test development into product design., • Analyze test data and provide detailed reports to improve product reliability and performance., • Bachelor's or Master's degree (PhD Preferred) in Electrical Engineering, Physics, or related field., • Proven experience in test development and optical testing of photonic devices., • Strong understanding of measurement systems and fiber optics technology., • Familiarity with DVT and wafer-level testing methodologies., • Experience with automated wafer probers and device characterization techniques., • Knowledge of lasers and their applications in photonic systems., • Competitive market-based compensation, • Comprehensive health coverage, including medical, vision, and dental plans for individuals and families, • 401(k) retirement plans with employee matching, • Paid Parental Leave, • Life and disability insurance, • Commuter benefits and subsidies, • Professional growth and mentorship opportunities - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 11/04/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job DescriptionBeghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. In this role you will oversee and develop client proposals, ensuring methodological soundness while consistently delivering exceptional services within timelines and budgets. You will leverage your coding skills to enhance reporting and data processes, drive client engagement, and identify growth opportunities for the firm. This role requires effective leadership of diverse teams and mentorship of junior members, contributing to their professional development and the overall growth of our practice areas.We'll Trust you to: • Lead Impactful projects- Oversee the development of proposals and ensure that projects meet and exceed quality standards while delivering on time and within budget., • Develop Data-Driven Solutions: Build and enhance complex reports, online tools, and data processes; perform advanced analyses and communicate insights effectively to clients., • Leverage Coding skills: Utilize SAS, Python, VBA to facilitate data processing and reporting, ensuring accuracy and efficiency., • Drive Client Success: Grow external client engagements, own key aspects of client relationships, and ensure satisfaction., • Monitor project progress, manage risks, and keep stakeholders informed of outcomes; manage financial aspects of projects, including drafting SOWs and managing invoices., • Identify Growth Opportunities: Identify areas for firm growth, creating action plans that include new offerings and improvements to best practices., • Lead and Mentor Teams: Motivate & guide diverse teams while fostering an innovative, inclusive, collaborative work environment, Support team's professional development, • Support Organizational Development: Contribute to management initiatives, including employee engagement, recruitment, training, and ongoing education; contribute to internal initiatives as needed. What You Bring:, • Education & Experience: Bachelor's or advanced degree with at least 6 years of professional experience in data and analytics within the life sciences or pharmaceutical industry., • Strong understanding of Pharmaceutical commercial functions, including Data Management, Sales Operations, Commercial Analytics, and BI/Reporting., • Technical Expertise: Strong coding skills (SAS, Python, VBA) and experience with data visualization tools (Tableau, Power BI) are strongly preferred. Proficiency in Microsoft Office (PowerPoint, Word) with advanced Excel skills, • Analytical Skills: Advanced analytical and quantitative aptitude, with exceptional problem-solving skills., • Project & People Management: Proven project management and people management skills, with experience as a team leader or manager. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionMission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag , our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation. What You'll Do: • Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint., • Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable., • Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions., • Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components., • Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence., • Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.What We're Looking For:, • BS in Computer Science, Machine Learning, or related field, or equivalent professional experience., • 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment., • Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models., • Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning., • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX)., • Strong software engineering fundamentals: testing, CI/CD, containerization, and system design., • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference., • Demonstrated ability to ship production-grade ML systems and mentor team members., • Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineersBonus Points (Nice-to-Haves):, • MS/PhD in Computer Science, Machine Learning, or related field., • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning., • Background in autonomous driving, robotics, or real-time decision-making systems., • Familiarity with multimodal learning, sensor fusion, or embodied AI., • Experience building active learning loops, using the model to find the data that breaks the model., • Experience with ML-based data mining, active learning, or contrastive learning., • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms., • Publications or open-source contributions in RL, distillation, or efficient ML.We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $172,000 - $229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter , LinkedIn , Instagram and YouTube . Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn't just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options. The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year. Mission Summary: The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car. We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment. Responsibilities: • Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning)., • Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional's intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.)., • Evaluate machine learning model performance against these metrics and tests., • Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events., • Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets., • Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims. Qualifications: • An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization., • Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background., • Master's degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor's degree plus significant relevant in-field experience., • Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models., • Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development. Bonus Skills: • Experience training machine learning models, familiarity with state-of-the-art ML model architectures., • Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning)., • Knowledge of C++, especially applied to safety critical systems., • Experience with systems verification and validation techniques, • Experience with regression testing updates to already-deployed software in a safety-critical environment., • Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448), • Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001), • Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems, • Work in cross collaboration teams to address problems and find solutions Physical Demands: While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds. Travel Requirements (greater than 20%): Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business. Working Environment The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants. All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status. Motional AD LLC is a Drug-free workplace. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$125,000—$167,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionCompany Description To create revolutionary, story-driven RPGs which go straight to the hearts of gamers — this is our mission. Want to dive deeper into our company’s culture? Explore our social media and check out our YouTube channel and Beyond the Game Blog where we share behind-the-scenes insights and stories direct from our team members! Job Description CD PROJEKT RED is looking for a Lead Technical Animator to join our studio in Boston and work on Project Orion, the follow-up to Cyberpunk 2077. You will bring your years of expertise, leadership skills, attention to detail, and passion for creating animation pipelines and systems for characters, vehicles, and weapons to our growing team. Responsibilities • Develop and manage a high performing Technical Art team comprising Rigging TD’s and Technical Animators., • Leverage your skillsets in both digital content creation tools and real-time engines to drive and deliver high-quality character, vehicle, and weapon workflows, pipelines, and animation solutions., • Manage your direct reports and help them grow in their role and ambitions, including setting up 1:1s, performance management, hiring and promotions., • Work with Directors and Production to estimate and plan work., • Collaborate closely with designers, artists and other developers to understand their needs and ensure that your team is aligned to deliver on expectations., • Coordinate and drive cross-discipline functional teams from feature conception to completion., • Establish and maintain best practices offering guidance to support content development team artistic and technical objectives., • Prototype, research, integrate, and extend rigging and animation systems., • Help devise, develop, and maintain pipelines for asset creation focusing on characters, weapons, and vehicles., • Solve complex technical art challenges while ensuring workflows and systems are efficient and scalable., • Actively participate in evaluating performance and optimization to ensure seamless cross-team gameplay experiences., • Foster cross-department collaboration to ensure the content and animation work effectively contributes across game teams and systems.Qualifications, • Minimum 7+ years of experience in the video games industry, including at least one shipped AAA title through the entire production lifecycle., • Experience leading a technical art team., • Expertise in Unreal Engine 5 Rigging and Animation Systems., • Animation pipeline knowledge including developing and scripting tools for Maya, MotionBuilder, or other DCC applications., • Proven track record of building character, vehicle, weapon workflows and pipelines., • Excellent problem-solving, communication, and teamwork skills., • Ability to think creatively and strategically to overcome technical challenges and drive innovation in technology. (Please note that these skills are not required to apply for the position) • Strong C++, C#, or Python tool development and scripting professional experience., • Experience in animation performance/memory optimization. Additional Information The application window for this position will close by 04/30/2026. This job requires working in Boston, US. Working mode: in-office in a hybrid or full-time capacity. Remote roles in the US are only available to candidates that reside in the following states: California, Colorado, Connecticut, Florida, Illinois, Kentucky, Maryland, Massachusetts, Minnesota, Nevada, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Washington, Wisconsin. Health & Well-Being • Company-paid medical healthcare (dental, vision, and mental)., • Free mental health support, including access to counseling, psychiatric care, and a variety of well-being webinars., • Paid leave - 26 days of vacation, 10 sick days, & 12 calendar holidays per year., • 401K with employer matching., • Lifestyle Spending Account (LSA) – $100 per month to use towards fitness, wellness, internet, home office equipment, learning, streaming services, and more., • Menstrual leave — employees who menstruate can take one extra day off when experiencing period pain., • Flexible working hours., • Trainings, lectures, and courses — internal workshops, knowledge-sharing initiatives, online tutorials, and e-learning classes are all available., • Dog-friendly office — bring your pooch with you and look after them while working! There’s always a furry friend or two to meet., • Truly international working environment — a chance to meet and work with a diverse selection of people from all around the world. Estimated pay range for this position: $168,200 - $257,000 USD annually This role may be eligible for a long term incentive program (option to purchase CDPR stock after the vesting period). Final offers are dependent on job-related factors like experience and qualifications. At CD PROJEKT RED compensation for our roles in North America are determined based on competitive market data, geographic location, and individual factors tied to business needs. The base pay range is subject to change and may be modified in the future. Final offers are dependent on job-related factors like experience, qualifications, and location. If you've observed any irregularities (i.e. legal or ethical violations) in our recruitment process, please click here to report them anonymously. #LI-Hybrid #LI-ONSITE

Job Description Lead Quantum Error Correction (QEC) Researcher Boston, MA, US | Full-time | Permanent | Hybrid Salary: $145,000 to $240,000 DOE About us Riverlane's mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry's defining technical challenge, such breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion. Having raised more than $125M in funding to date to accelerate our cutting-edge R&D in quantum error correction (QEC), Riverlane partners with many of the world's leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We're making remarkable progress and growing fast. About the role As a Lead Quantum Error Correction Researcher at Riverlane, you won't just research quantum error correction - you'll help us build it. Your work will help deliver the world's first QEC stack and unlock useful, scalable quantum computing. We have a fantastic opportunity to join one of Riverlane's more science-focused quantum error correction teams, which works to enable large-scale error-corrected quantum computation. This world-class, highly collaborative team brings together mathematicians, physicists, computer scientists and software engineers, working side by side on a diverse portfolio of cutting-edge research projects. In this senior role, you will lead high-impact research projects and manage a small team within a larger, multidisciplinary group. You'll balance deep, hands-on research with technical leadership, mentoring, and strategic direction. What you will do As a Lead QEC Researcher at Riverlane, your work will vary, but typical activities may include: • Pushing the boundaries of quantum error correction (QEC) through hands-on, high-impact research, while coaching and levelling up researchers in your team., • Owning and leading multi-person projects end to end, working closely with your team and cross-functional partners across Riverlane., • Actively shaping the direction and priorities of QEC research in relevant areas as we scale our technology and roadmap., • Translating cutting-edge research into outcomes that move the company forward, contributing directly to Riverlane's goals and strategy., • Line-managing, mentoring and supporting members of your team, helping them to grow and take on increasing responsibility., • Building strong relationships with external partners, collaborators, and customers, including hardware partners across all qubit types., • Helping define and win new projects by contributing to compelling proposals and funding opportunities., • Sharing knowledge and collaborating across teams to rapidly advance our products., • Writing and reviewing code for our internal and open-source codebases., • PhD in mathematics, physics, computer science, or a related technical field (or equivalent professional experience), • Proven ability to undertake high-quality theoretical work (for example, through publications), • Experience driving the direction of scientific or technical research, • Experience leading projects involving multiple people, • A collaborative mindset with experience in guiding and mentoring less-experienced colleagues, • Working knowledge of QEC, • Ability to work effectively both independently, and as part of a team, • Experience undertaking or leading QEC research, evidenced by scientific publications, • Knowledge of qLDPC codes, • Understanding of one or more qubit modalities, • Experience leading a group of researchers working across multiple projects, balancing competing priorities, • Knowledge of Python and/or C++, • A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and 401K contributions, • Equity, so that our team can share in the long-term success of Riverlane, • Generous paid time off and enhanced family leave, • A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and math) and over 20 different nationalities Please upload your resume and covering letter by clicking 'Apply Now'. Your cover letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match. We do not use closing dates. Please apply as soon as possible to avoid missing out on this role. If you have any queries, please contact . Everyone is welcome at Riverlane. We are an equal opportunity employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every single qualification. We'd love to hear from you. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. GDPR notice: Riverlane collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details. #LI-CA1

Job Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: The SAAM group is seeking a Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development. What you will do: • Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles, • System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed, • System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure, • Self-motivated with demonstrated ability to excel under limited guidance, • Strong object-oriented programming skills in modern C++, • Proficient in test-driven development and CI/CD practices, • Experience with cross-platform development (Windows, Linux, iOS) and version control workflows, • Proficiency in MATLAB and/or Python, • BS with 2+ years experience or MS in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field, • Active Secret or Top Secret security clearance, • 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA, • Experience with radar or EO/IR systems, • Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Founded in 2011 by graduates of Massachusetts Institute of Technology (MIT) and Rhode Island School of Design (RISD), RISE Robotics is a high-growth technology company backed by The Engine, a Tough Tech venture capital fund built by MIT, Greentown Labs, and Techstars. RISE Robotics is leading the way to Zero Emission heavy machinery by providing the world's most efficient and productive alternative to hydraulics. We specialize in fostering dynamic partnerships with Tier 1 suppliers, OEMs, and the US Department of Defense, pioneering the transition from traditional hydraulic systems to more efficient and sustainable solutions. As a Senior Embedded Software Engineer, you'll play a pivotal role in the development and enhancement of the software that powers our robotic lifting solutions. You'll collaborate with cross-functional teams, contribute to the design and implementation of critical software components, and ensure the reliability and performance of our systems. Why This Role Matters As a pivotal member of the RISE Robotics Engineering organization, your contributions will shape the future of our company, spearheading the engineering effort to implement electronic controls of truly massive machines. Our dynamic and expanding team is ready to embrace your talent and ideas as we work together to redefine the way we operate. If you're passionate about motion control technology and thrive in a fast-paced, innovative environment, we want you to be a part of our journey. Join us and make your mark on the world of embedded software engineering! Key Responsibilities • Embedded Software Development: Design, develop, and maintain embedded software for our robotic lift systems, ensuring performance, reliability, and safety., • System Integration: Collaborate with hardware engineers to integrate software with the RISE platform's electrical and mechanical components., • Algorithm Development: Create and optimize control algorithms for precise and efficient robotic lifting operations., • Real-time Systems: Develop and implement software for real-time control, feedback systems, and sensor integration., • Testing and Debugging: Conduct thorough testing of software to identify and resolve issues, ensuring reliable and robust operation., • Documentation: Maintain comprehensive documentation for software design, development, and testing processes., • 5+ years of electromechanical product software development in C, C++, and Python, • Experience with controls, brushless DC motors, and motion control systems, • Demonstrated ability to operate independently, executing on requirements to produce robust and well-documented software modules, • Familiarity with common embedded communications interfaces: CAN, SPI, I2C, UART, • Competitive compensation package, • Equity!, • Blue Cross Blue Shield Health insurance, • Dental, Life, and Disability insurance, • 401(k) program, • PTO and office holidays, • Flexible/hybrid work options, • Weekly {free} lunch, • Free parking/T accessible, • Located in Union Square RISE Robotics is an equal-opportunity employer that values diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply.

Job DescriptionCompany Overview Lydian is developing the lowest cost sustainable fuels from waste CO2, water, and renewable electricity to decarbonize the aviation industry. Our breakthrough technology replaces oil and gas refining with fully electrified, modular, and flexible reactor systems that produce fuel with 95% lower emissions than traditional jet fuel. Since our founding in 2021, Lydian has achieved key milestones in record time, including the production of our first liquid fuel from our pilot system, capable of producing ~10,000 gallons of fuel per year for a fraction of the capital and time of alternative approaches. Lydian is backed by top climate investors including Congruent Ventures, Galvanize Climate Solutions, Union Square Ventures, Voyager Ventures, Grok Ventures, and Overture. We are building a motivated, diverse, and collaborative team that is passionate about addressing the growing climate crisis and is committed to excellence in their work. In particular, we look for tenacious people who are energized by solving the hardest, highest impact problems that come their way. Position Overview Lydian is hiring for a Staff Controls & Automation Engineer that will will design, build, and own a state-of-the-art controls architecture for our novel chemical process. You will begin with designing and implementing a sophisticated, operator-friendly control system on our pilot plant, but your ultimate goal is to enable an automated, remote operation of our plants at every scale. You are intimately familiar with classical control and automation equipment but also possess the skills and experience to push beyond PLCs and integrate advanced control techniques into a robust and maintainable control system. Responsibilities * Control Architecture & System Design * Architect the full control stack for pilot → demo → commercial plants, including PLCs, safety PLCs, SCADA/HMI, historian, networking, alarm philosophy, and mode/state logic * Define a clear hierarchy linking base control, supervisory control, and advanced control (state estimation, MPC) * Pilot Plant Automation & Implementation * Develop structured, modular control logic in PLCs and safety PLCs, including reusable AOIs/function blocks for valves, heaters, compressors, and reactors * Own interlocks, permissives, fail-safe behavior, alarm logic, and safety instrumented functions * Implement robust state-based control, including state estimators to infer unmeasured internal process variables and stabilize noisy measurements * Build inferential “soft sensors” for reactor states, product composition, and equipment health. Implement diagnostics and anomaly/fault detection * Advanced Controls * Over time, validate and tune advanced controllers through simulation, staged deployment, and coordinated field commissioning * Identify multivariable, constraint-heavy loops suitable for MPC or other model-based controllers and implement MPC in a suitable environment * Leadership & Cross-Functional Collaboration * Work with external software vendors and other team members to build analysis and tuning tools to support R&D campaigns, long-term performance evaluation, and algorithm refinement * Develop simulation or digital-twin models to safely prototype new control strategies * Collaborate with process, mechanical, electrical, and operations teams to translate process requirements into robust, maintainable control logic * Support commissioning, plant bring-up, troubleshooting, and continuous optimization * Drive rigorous version control, documentation, and management-of-change practices Qualifications * Bachelor's Degree with 10+ years of experience designing and owning automation systems for continuous chemical or energy processes * Strong foundation in control theory, process dynamics, multivariable interactions, and constraint management * Practical experience with state estimation and inferential sensing * Hands-on deployment of MPC or other model-based controllers on real industrial systems * Expertise with PLC platforms and SCADA/HMI systems * Deep experience with interlocks, permissives, safety logic, shutdowns, and high-temperature/high-pressure/flammable gas systems * Ability to make advanced control practical and easy to understand * Experience with thermochemical systems, especially catalytic systems * Experience integrating advanced control with DCS platforms (DeltaV, PCS7, Honeywell Experion, Yokogawa Centum) * Familiarity with Python or similar tools for prototyping estimation and control algorithms. * Experience in FOAK hardware or fast-moving industrial startup environments where flexibility and autonomy are required Company culture and benefits * Challenging, collaborative, and meaningful work and an important voice in company development * Competitive salary commensurate with experience * Meaningful equity compensation * Generous PTO and expectation that all employees take significant time off to rest, recharge, and enjoy life outside work * Excellent health insurance with 100% of healthcare, vision and dental premiums covered * 401(k) with company match

Job Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: The SAAM group is seeking a Senior Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development. What you will do: • Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles, • System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed, • System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure, • Self-motivated with demonstrated ability to excel under limited guidance, • Strong object-oriented programming skills in modern C++, • Proficient in test-driven development and CI/CD practices, • Experience with cross-platform development (Windows, Linux, iOS) and version control workflows, • Proficiency in MATLAB and/or Python, • BS with 5+ years experience or MS with 3+ years experience in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field, • Active Secret or Top Secret security clearance, • 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA, • Experience with radar or EO/IR systems, • Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description About SimpliSafe We're a high-tech home security company passionate about protecting the life you've built and our mission to keep Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no-ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those whom we protect. We don't just want you to work here. We want you to grow and thrive here. Why are we hiring? We are a rapidly growing and successful company seeking smart, talented, and humble individuals who share our values. Join us in our mission to disrupt the home security space and relentlessly pursue our goal to keep Every Home Secure. What You'll Do At SimpliSafe, corporate IT is part of the Information Security and Technology (IS&T) team, led by our Chief Information Security Officer (CISO). IT does more than fix laptops—we empower every team member to do their best work and make sure SimpliSafers feel supported, connected, and confident in their technology. We're looking for a Staff IAM Engineer to join our IT team in Boston, Massachusetts. In this role, you'll report to our Manager, IS&T, and: • Own and evolve SimpliSafe's Okta environment and identity strategy, serving as the go-to expert on all things IAM., • Partner with Security, Engineering, and HR to build scalable access governance and lifecycle automation. Primary responsibilities include: • Defining and driving SimpliSafe's IAM strategy across the enterprise, including identity governance, access management, and zero trust principles., • Serving as the internal subject matter expert on all things identity — Okta, SSO, MFA, lifecycle management, and directory services., • Developing a roadmap for IAM maturity, identifying gaps, prioritizing investments, and aligning with security and compliance objectives., • Owning the design, configuration, and optimization of our Okta environment, including SSO integrations, MFA policies, adaptive authentication, and lifecycle automation., • Building and maintaining Okta Workflows to automate provisioning, deprovisioning, and access reviews across SaaS, cloud, and on-prem systems., • Designing and enforcing RBAC and least-privilege principles across our application and infrastructure landscape., • Leading access certification and review programs, working with IT, Security, and HR to ensure accurate and timely access decisions., • Owning integrations between identity systems and HR platforms to support joiner/mover/leaver processes., • Supporting audit and compliance activities (e.g., SOC 2, ISO 27001) by maintaining robust IAM controls and evidence., • 8+ years of experience in identity and access management, with deep hands-on expertise in Okta (Okta Certified Professional or Administrator certification strongly preferred)., • Proven experience architecting and managing enterprise IAM programs, not just operating tooling., • Strong technical skills across SSO (SAML, OIDC/OAuth), MFA, directory services (Active Directory, LDAP), and SCIM-based provisioning., • Experience with lifecycle management automation, including HR-to-IT integrations and joiner/mover/leaver workflows., • Familiarity with PAM solutions (e.g., CyberArk, BeyondTrust, or similar) and privileged access controls., • Experience supporting security frameworks and audits (SOC 2, ISO 27001, or similar)., • Ability to translate business and security requirements into practical IAM architecture and policy., • Experience with Okta Privileged Access or Okta Identity Governance (OIG)., • Familiarity with IGA platforms such as SailPoint or Saviynt., • Experience with AWS IAM and cloud identity patterns (federated roles, workload identity)., • Exposure to zero-trust network access (ZTNA) architectures and their relationship to identity., • Scripting or automation experience (Python, PowerShell, or similar) for identity lifecycle tasks., • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them., • Aim High - Always challenging ourselves and others to raise the bar., • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style., • One Team - Taking a highly collaborative approach to achieving success., • Lift As We Climb - Investing in developing others and helping others around us succeed., • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive, • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here), • Free SimpliSafe system and professional monitoring for your home. This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .

Job Description MERL is seeking a self-motivated and highly qualified Ph.D. intern to contribute to the development of a safety-oriented active SLAM system for aerial robots. The work will involve the development of perception-aware safe planning algorithms, along with extensive validation in both simulation and on hardware, using drones equipped with onboard cameras. The intern will work closely with MERL researchers in robotics and autonomy. The internship is expected to lead to a publication in a top-tier robotics, computer vision, or control conference and/or journal. The position has a flexible start date (Summer/Fall 2026) and a duration of 3–6 months. Required Specific Experience • Current enrollment in a Ph.D. program in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, or a closely related field, with a focus on Robotics, Computer Vision, and/or Control Systems., • Hands-on experience with aerial robots, including real-world flight testing., • Expertise in one or more of the following areas: active SLAM; 3D computer vision; coverage path planning; multi-agent pathfinding; perception-aware planning., • Excellent programming skills in Python and/or C++, with prior experience using ROS2 and high-fidelity simulators such as Isaac Sim and/or MuJoCo., • Strong software engineering skills, demonstrated through a publicly accessible codebase (e.g., GitHub or GitLab). Applicants are required to provide links to representative repositories., • Experience with onboard perception, visual-inertial systems, or safety-critical autonomy. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job Description Site Reliability Engineer 1Job Details • Site Reliability Engineer 1 (Contract), • Location: Waltham, MA 02451 (Hybrid), • Duration: 10/22/2025 to 4/03/2026, • Team: Campaign Core RD US Key Responsibilities:, • Deploy and manage solutions efficiently on private or public cloud, and ensure they meet established SLAs, with an emphasis on optimizing cloud resource utilization., • Maintain database performance by investigating, debugging, identifying and resolving production issues., • Implement solutions by defining database physical structure and functional capabilities, database security, data back-up, and recovery specifications., • Design, implement, and maintain integrating monitoring and alerting tools, leveraging existing tools and logging., • Monitoring all levels in the application stack., • Expand existing automation tools to streamline onboarding., • Collaborate with various internal teams to provide the best service possible for our customers. Required Skills & Qualifications:, • 2-3 years professional experience in a production environment., • Chef / Ruby, • Python, • Lua, • SQL (postgres), • OpenTelemetry / Prometheus / Grafana, • SMTP / email deliverability a plus.Compensation:, • $40.00 to $45.78 per hour.#36486724

Job DescriptionPosition Overview We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making. We welcome candidates from analytical and cross-disciplinary backgroundsincluding mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fieldswho are interested in applying quantitative thinking to real-world business and financial problems. Key Responsibilities • Work with structured datasets to support basic financial and operational analysis, • Assist in organizing, cleaning, and validating data for reporting and modeling, • Build and maintain spreadsheets and simple analytical models in Excel, • Support development of reports, dashboards, and visualizations, • Identify patterns, inconsistencies, or trends in data, • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable), • Collaborate with team members on data, finance, and technology-related tasks, • Apply quantitative or analytical approaches from coursework to practical business problemsRequired Qualifications, • Currently pursuing a Bachelors degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline), • Strong problem-solving and analytical thinking skills, • Familiarity with:, • Microsoft Excel (formulas, basic functions), • Microsoft Office (Word, PowerPoint), • Comfort working with numbers and structured data, • Strong attention to detail and willingness to learnPreferred Qualifications, • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects, • Experience with Excel functions (e.g., VLOOKUP, pivot tables), • Introductory knowledge of statistics, probability, or data analysis, • Interest in financial markets, data analytics, or fintech, • Coursework or projects involving:, • Data analysis or visualization, • Mathematical modeling, • Machine learning (introductory), • Computational or applied problem-solvingWhat Youll Gain, • Hands-on experience applying quantitative skills in a real-world business environment, • Exposure to financial data, analytics workflows, and decision-making processes, • Opportunity to build foundational data and modeling skills, • Mentorship and professional development, • Insight into career paths in quantitative finance, data science, and analyticsInternship Details, • Summer 2026, with possible extension

Job Description As a member of the professional services team, the Senior Application Development Architect will lead the design and implementation of modern, cloud-native applications for clients. This role requires deep expertise in backend development, modern frameworks, and cloud-native architectures to guide client modernization initiatives. The ideal candidate is a hands-on architect and technical mentor who drives innovation while delivering scalable, secure, and maintainable solutions Responsibilities including measures and KPI's • Design scalable, secure, and maintainable cloud-native applications that meet client requirements, • Create and maintain application architecture documentation and design patterns, • Develop standardized frameworks and templates for application development projects, • Lead technical discovery workshops and architecture review sessions with clients, • Provide hands-on development leadership for complex application development projects, • Conduct code reviews and ensure adherence to coding standards and best practices, • Serve as the primary technical consultant for application development engagements, • Conduct application assessments and provide modernization roadmaps, • Present technical solutions and recommendations to client stakeholders, • Collaborate with sales and solutions teams on scoping application development projects, • Mentor junior and mid-level developers on modern application development practices, • Contribute to internal knowledge base and development standards documentation, • Ensure projects are delivered on time, within budget, and meet quality standards, • Collaborate with project managers to provide accurate effort estimates and technical guidance, • Participate in project retrospectives and contribute to process improvement initiatives, • Maintain billable utilization targets while delivering high-quality technical solutions Top Candidates will have the following • Passion for modern application development and cloud-native architectures, • Strong technical leadership skills with the ability to guide architectural decisions and mentor development teams, • Deep understanding of backend development frameworks, microservices architectures, and API design patterns, • Experience with containerization, orchestration, and cloud-native development patterns, • Strong customer relationship management skills with the ability to translate complex technical concepts to business stakeholders, • Proactive approach to identifying technical debt and modernization opportunities, • Ability to balance hands-on development with architectural oversight and mentoring, • Experience working in agile development environments with CI/CD practices, • Natural proclivity for staying current with emerging application development technologies and best practices Requirements Experience for the role • Minimum of 7+ years of experience in application development, with at least 4 years in senior or lead architect roles, • AWS Solutions Architect Professional certification or ability to obtain within 6 months, • Demonstrated expertise in backend development using modern languages such as Python, Java, Node.js, or Go, • Strong experience with cloud-native application patterns including microservices, serverless, and container-based architectures, • Hands-on experience with AWS application services including Lambda, ECS/EKS, API Gateway, EventBridge, and Step Functions, • Proficiency with modern application frameworks and libraries (Spring Boot, Django, Express.js, FastAPI, etc.), • Experience with database design and optimization for both relational and NoSQL databases in cloud environments, • Strong understanding of DevOps practices, CI/CD pipelines, and Infrastructure as Code, • Experience leading application modernization projects from legacy systems to cloud-native architectures, • Demonstrated ability to mentor junior developers and provide technical guidance Additional Valuable Skills or Experience • AWS Developer Professional certification, • Full-stack development experience including front-end frameworks (React, Angular, Vue.js), event-driven architectures, and messaging systems (SQS, SNS, Kafka), • Operational expertise with Infrastructure as Code (Terraform, AWS CDK, CloudFormation), monitoring/observability tools (CloudWatch, X-Ray, Prometheus, Grafana), and performance optimization strategies, • Knowledge of security best practices, secure coding, and compliance frameworks (SOC 2, HIPAA, PCI) for application development, • Background in Agile/Scrum methodologies and previous consulting or professional services experience The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Mission Summary: We are seeking a Verification and Validation (V&V) Lead to spearhead efforts for the Perception subsystem of our autonomy stack. Reporting directly to the Head of Perception, this critical role is responsible for the full spectrum of efforts required to close the safety case for the perception subsystem, enabling our driverless commercial launch and subsequent product expansions. This hybrid role demands broad experience in the self-driving field, with specific competencies in: test engineering, systems and safety, data analytics and reporting, simulation technology, and leveraging AI for workload automation and insight generation. Success in this highly collaborative role also requires exceptional written and verbal communication, leadership, cross-team influence, and a consistent ability to prioritize work and deliver results. Key Responsibilities: • Requirements Driven Development / Test Driven Development, • Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges., • Educate perception engineers and be a champion for V&V best practices., • Problem Definition and Performance Analysis, • Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates., • Identify or define appropriate metrics., • Create dashboards and automate reporting., • Perception V&V Strategy, • Establish coverage targets and identify data/testing gaps., • Validate the test strategy and provide early feedback to developers., • Create actionable test plans involving a spectrum of test modalities., • Create critical tests as-needed, work cross-team to scale test creation to achieve coverage targets., • Test Technologies, • Understand the limitations of existing tools and simulation technologies and how they impact our coverage plans., • Advocate for engineering work to address testing and automation limitations., • Find creative ways to get the desired signals when a straightforward approach is deemed infeasible., • System/Subsystem Performance Boundaries, • Be a bridge between Perception and the "Systems Readiness and Performance" organization. Act as the primary point of contact between the organizations., • Advocate for, and adopt, common processes, technology, and terminology to ensure subsystem and system level evaluations work seamlessly together., • Ensure that we understand the system-level impact of a perception failure mode and communicate this effectively across the entire organization. Required Qualifications: • Education and Experience, • Bachelor's degree in a STEM field (preferred)., • Experience leading Verification and Validation (V&V) for a safety-critical product., • V&V experience specifically with a self-driving vehicle (strongly preferred)., • Domain Expertise, • General knowledge of the self-driving vehicle software stack., • Understanding the different types of simulation technologies used in autonomy development., • Expertise in creating and executing V&V test strategies., • Expertise in test set creation, test organization (tagging, requirements and deficiency linking), and structured reporting., • Strong understanding of how performance analysis informs risk assessment, and acts as the cornerstone for "go/no-go" decisions., • Understanding of basic descriptive statistics., • Programming & Tools, • Proficiency in Python for light scripting, database queries, and automation., • Familiarity with common dashboarding software., • Familiarity with AI/Agentic coding tools to accelerate workloads., • Experience using common software tools such as version control (Git) and build automation (Buildkite, Jenkins)., • Soft Skills, • Excellent written and verbal communication skills., • Demonstrated ability in collaboration, leadership, innovation, and creativity., • A track record of reliability, trustworthiness, and delivering impact., • Ability to frame safety discussions within a grounded risk assessment framework. Preferred Qualifications: • Entrepreneurial experience or other evidence of being self-driven, adaptable, and results-oriented., • Patents or other evidence of innovation and creativity. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$200,000—$275,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionAt Laminar (formerly H2Ok Innovations), we're leading the charge in cleantech innovation, reshaping process industrials and manufacturing to drive operational efficiency and sustainability for our world’s most foundational industries. Powered by our Laminar AI Co-pilot models and state-of-the-art sensors, our solutions optimize facility performance across various processes, including process manufacturing, production, water management, energy reduction, and waste minimization. Based at Greentown Labs, North America's premier cleantech innovation community, we're a woman-founded startup backed by renowned investors like Greycroft, Construct Capital, 2048 Ventures, and Flybridge Capital. Our groundbreaking technologies have earned accolades and adoption from industry giants like Unilever, The Coca-Cola Company, ABinBev, and Mitsubishi Electric. We're committed to unlocking untapped data for our customers, empowering them to gain a competitive edge and create Industry 4.0. Transforming our most foundational sectors of society is hard. Very hard. But we’re building an empire. And empire building is not easy. It’s deeply fulfilling, and you will learn and grow tremendously while driving sustainable impact globally with some of the largest players that make everything we eat, use, and wear. Our culture is to foster extraordinary growth within our teammates. We believe in autonomy, ownership, empowerment, demanding excellence, being mission-driven. We believe in creativity, authenticity, and extraordinary growth. We’re looking for relentless, ambitious, creative, and exceptional people to join our team and build the factory of the future. As our company grows and scales, we’re seeking an Electronics Reliability and Test Engineer to help ensure our products meet our high standards for performance and reliability across the entire hardware product lifecycle. You’ll work closely with our Hardware Engineers and our Contract Manufacturers, assist with PCB and hardware design review, and develop strategies to diagnose, track, and address quality incidents in design, manufacturing, and deployment. We value a self-sufficient, hands-on engineer who thrives in a fast-paced environment and enjoys tackling diverse technical challenges. Your work will directly impact hardware product design, improve overall product performance, and help achieve high customer satisfaction. What You Will Do • Develop and execute test strategies (and potentially develop test hardware) for PCBs in early-stage designs and through production, defining clear quality acceptance criteria and validation requirements, • Review mechanical and electrical designs, identify potential functionality/reliability risks, and recommend improvements, • Perform comprehensive root-cause analysis and recommend corrective action for downed or underperforming field devices, • Build processes for tracking and addressing manufacturing defects and field quality incidents, • Work closely with the Hardware, Software, and Deployments teams to coordinate device debugging, • Travel to customer sites when required to debug devices in field if context is needed (approximately 10%)About You, • 3+ years (mid-level) experience in hardware reliability, validation, or test engineering, • Electronics experience: PCB SMD and THT soldering, rework, troubleshooting, oscilloscope use, digital signal analysis, • Ability to read and debug electrical schematics, • Skilled in formal hardware debugging, root cause analysis, and executing corrective action plans, • Basic coding experience: Python, C, C++, • Generalist mindset: comfortable working with all parts of electromechanical assemblies, data logging, as well as system-level topics, • Clear, efficient, and respectful communicator, comfortable collaborating both with engineering teams and external contract manufacturers, • Database or test logging system experiencePreferred, • 5+ (senior-level) experience in hardware reliability, validation, or test engineering, • Experience working with PCB contract manufacturers, machine shops both domestic and international, • Experience designing automated PCB testing fixtures, • Familiarity with Six Sigma, • PCB design experience with microcontrollers, industrial communications protocols, • Previous experience navigating the balance between “move fast and break things, but not the important things”, • Comfortable building a test logging system from scratch, • Experience managing NPI (new product introduction) processesBenefits, • Direct impact on product and culture., • Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more., • 401k plan with employer matching, • Equity, • Competitive salary and bonus opportunities., • Dynamic and inclusive work environment., • Opportunities for growth and professional development., • Access to Greentown Labs' extensive network of cleantech startups.Learn How We Think, • Learn about our startup journey: Our Journey

Job Description About the Team STR's Analytics & C2 (AC2) Division researches and develops novel technologies to solve challenging national security problems through advanced analytics and C2 technologies. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers. The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management. The Role As a Senior Data Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis. You will contribute to data analysis, engineering software, and validation/verification of cutting-edge algorithms for novel application domains and modalities. You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. In addition, you will participate on project teams and interact with customers. We are looking for someone to join our team onsite as this position is based in the Woburn, MA office. Who you are: • Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by the U.S government, • Have experience in intelligence or military-related mission areas, • MS with at least 5 years of experience, and/or PhD (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science, • Experience building data analysis pipelines using standard tools (e.g., Python, C++), including implementing software to identify key metrics for various data sets, • Experience designing and implementing experiments to verify and compare algorithm performance with measured data and/or simulations using standard analysis tools (e.g., Python), • Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib, • Proficiency in one or more programming languages: Python, C/C++, • Able to work and collaborate on multi-disciplinary teams, • Have experience in statistical inference, systems simulation capabilities, Monte Carlo or optimization methods, and/or data structures, • Have expertise working with time-series data (sampled signals and/or discrete detection series) The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job DescriptionCompany Summary: Korro is a biopharmaceutical company focused on developing a new class of genetic medicines for both rare and highly prevalent diseases using its proprietary RNA editing platform. Korro is generating a portfolio of differentiated programs that are designed to harness the body’s natural RNA editing process to effect a precise yet transient single base edit. By editing RNA instead of DNA, Korro is expanding the reach of genetic medicines by delivering additional precision and tunability, which has the potential for increased specificity and improved long-term tolerability. Using an oligonucleotide-based approach, Korro expects to bring its medicines to patients by leveraging its proprietary platform with precedented delivery modalities, manufacturing know-how, and established regulatory pathways of approved oligonucleotide drugs. Korro is based in Cambridge, Massachusetts. We are collaborative and united by a common mission. We are building a company with extraordinary people with an audacious vision to create transformative genetic medicines for prevalent diseases. Our values - Rewrite the future, On the Cutting Edge, Better Together, Dynamically Different, Kindness and Integrity form the fabric of the organization. They are reinforced daily and serve as key dimensions in the hiring process to help us ensure that Korro is a magnet for outstanding talent and a great place to work. Join us as we redefine what's possible in genetic medicine and work to make a lasting impact on human health.Position Summary:We are seeking an experienced and versatile Senior Scientist, Computational Biology to join our Data Science team and contribute across the breadth of Korro’s research and translational programs. The successful candidate will operate as an analytical generalist — comfortable moving between target validation, NGS/omics analysis, assay analytics, and translational support for our oligonucleotide therapeutics pipeline. This is a hands-on role suited to someone who has already proven themselves in a biotech or pharma environment and who thrives in a small, fast-moving organization where program needs evolve quickly.Key Responsibilities: * Drive computational biology analyses across Korro’s research pipeline, including target validation, mechanism-of-action studies, and characterization of RNA editing activity in preclinical models. * Design, execute, and interpret NGS-based experiments (RNA-seq, variant calling, targeted amplicon sequencing) in support of oligonucleotide design, screening, and pharmacology workstreams. * Partner with platform biology, chemistry, and pharmacology teams to translate experimental questions into rigorous analytical workflows and to communicate results in a form that informs program decisions. * Develop and maintain reproducible analysis pipelines in R and/or Python, leveraging existing Data Science infrastructure (Posit Connect, MLflow, containerized environments, AWS). * Contribute analytical support to the preclinical-to-clinical translational handoff for our GalNAc-conjugated programs, including PK/PD characterization and biomarker analysis as programs mature. * Collaborate with cross-functional stakeholders to scope new analyses, set realistic timelines, and deliver results that are technically sound and decision-ready. * Mentor junior scientists and contractors on best practices in scientific computing, reproducibility, and statistical rigor. * Share findings through internal presentations and contribute to the scientific community through publications or presentations as appropriate. Required Qualifications: * Ph.D. in Computational Biology, Bioinformatics, Genomics, Computational Chemistry, or a related quantitative discipline, with 3+ years of post-PhD experience in a biotech or pharmaceutical industry setting. Academic-only or pure-tech industry experience will not be considered for this role. * Demonstrated track record of shipped, decision-impacting analyses on industry programs — e.g., target validation, biomarker discovery, oligonucleotide or small-molecule pharmacology, or preclinical-to-clinical translation. * Strong scientific programming in R and/or Python, with proficiency in standard biological data analysis libraries (Bioconductor, tidyverse, pandas, numpy, scikit-learn, etc.). * Solid experience analyzing NGS data, including RNA-seq differential expression workflows, variant calling, and quality control of sequencing experiments. * Familiarity with oligonucleotide or RNA-based therapeutics — including chemical modifications, delivery modalities (GalNAc, LNP), and the analytical considerations specific to ASOs, siRNAs, or related modalities. * Working knowledge of statistical modeling appropriate to biological data: linear and generalized linear models, mixed-effects models, multiple testing correction, and basic experimental design. * Comfort working with messy, real-world experimental data and collaborating directly with bench scientists to refine analytical questions. * Excellent written and oral communication skills, including the ability to translate technical results for non-computational stakeholders. Preferred Qualifications: * Experience analyzing clinical or translational data — Phase 1 PK/PD, biomarker time-courses, or exposure-response analyses — is a strong plus. * Familiarity with hepatology, metabolic disease, or other indications relevant to GalNAc-conjugated oligonucleotide therapeutics. * Experience with cloud-based analytical infrastructure (AWS), containerized workflows (Docker), and reproducible reporting tools (Posit Connect, Quarto, R Markdown). * Prior contribution to IND-enabling packages or regulatory submissions. * Peer-reviewed publications in computational biology, genomics, or therapeutic pharmacology. * Hands-on experience using agentic coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) in a production scientific computing context, with a thoughtful perspective on where these tools accelerate work and where human review remains essential. The range provided is based on what we believe is a reasonable estimate for the base the salary pay range for this job at this time. This does not include annual bonus and equity. The actual salary will be based on a number of factors including skills, competencies, experience, and other job related factors permitted by law.Benefits: Korro offers competitive compensation, including equity-based compensation, and a comprehensive benefits package that includes medical, dental, vision, 401(k) retirement plan, life insurance, a dependent care flexible spending account and a Company-funded health savings account and free parking. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About the Team: The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies. EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors and divisions at STR and researchers at academic institutions and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us. The Role: As a Lead Algorithm & Signal Processing Researcher, you'll have the opportunity to develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more. What You Will Do: • Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges, • Design and implement models and simulations for advanced RF systems, • Lead small teams and projects, • Support business development and proposal writing efforts, • This position requires the ability to obtain a Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government, • BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline, • 5-7+ years of relevant work experience depending on degree (BS +7 years or MS +5 years), • Experience in two or more of the following areas:, • RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering, test engineering, radar modelling, or RF systems prototyping, • Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++, • Active Security Clearance, • Experience with:, • RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced electronic support measures techniques and algorithms, • Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow, • Interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution, • Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring an Mechanical Engineer II with a manufacturing focus to help develop the next generation of manufacturing test fixtures that ensure our hardware meets rigorous performance and reliability standards. In this role, you will learn WHOOP’s manufacturing testing philosophy, contribute to fixture design for current and future products, and help drive improvements in documentation, repeatability, and test coverage. Over your first year, you will become a key contributor to early fixture research, production test fixture development, and build-readiness for contract manufacturing partners. RESPONSIBILITIES: * Apply foundational test-design, DFM/DFT, and manufacturing-practice principles to support the creation of reliable and scalable mechanical test fixtures. * Design, prototype, and iterate on mechanical fixtures—ranging from simple early validation tools to mass production fixtures—using SolidWorks and standard mechanical design methodologies. * Own CAD development and documentation packages including BOMs, drawings, wiring diagrams, and basic assembly instructions, ensuring accuracy through product and fixture changes. * Collaborate with contract manufacturers to ensure fixture readiness, verify sourcing, and support build and validation processes, including on-site support during product builds. * Support mechanical and electrical debugging activities, contributing to root-cause investigations and documenting clear, actionable findings. * Maintain and continuously improve documentation practices using Arena PLM, Confluence, and established change-control processes. * Contribute to cross-functional collaboration by clearly communicating technical decisions, sharing test results, and supporting process improvements across teams. * Research components for new test development (accelerometer, ECG, haptics, LED, etc.), run experiments, analyze data, and contribute to test-definition discussions. QUALIFICATIONS: * BS degree in Mechanical Engineering, Mechatronics, or related field, or equivalent practical experience. * 3+ years of experience in the design of complex mechanical products, preferably in automation or industrial equipment. * Strong mechanical design skills including proficiency CAD tools (SolidWorks highly preferred) and experience with mechanical debugging and validation techniques. * Strong project-management and communication skills, with the ability to prioritize and contribute effectively in fast-moving engineering environments. * Ability to create accurate engineering documentation (BOMs, drawings, assembly guides) and navigate PLM systems such as Arena. * Familiarity with basic electrical concepts and comfort supporting electrical debugging as it relates to fixture performance. * Understanding of core manufacturing concepts including DFM/DFT, fixture design principles, and general manufacturing test practices. * Experience using tools such as Jira, Confluence, or similar to manage tasks, track progress, and document work. * Ability to analyze test data, contribute to SPC-based assessments, and communicate findings clearly in written and verbal form. * Basic experience with Python, firmware APIs, or software build tools is helpful but not required; willingness to learn lightweight scripting and debugging is important. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $110,000-$145,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Job Description From our nation’s earliest days, ABCorp has been a trusted force in security and innovation. In 1795, the federally chartered Bank of the United States entrusted American Bank Note Company with the critical mission of producing counterfeit-resistant currency for the young Republic. This early history established our company, now known as ABCorp, as a pioneer in secure printing, with innovations that served not only American banks but also international clients, a legacy that shaped our evolution into a global leader in secure manufacturing. What began with protecting America’s financial foundation now drives cutting-edge solutions that safeguard organizations worldwide. Today, ABCorp sits at the intersection where authentication, payments, and secure access embrace next-gen (including additive 3D) manufacturing to meet the demands of a digitally driven world. We have built 230 Years of Expertise – no one knows secure manufacturing and authentication better, and no one has done it longer. We maintain global reach and compliance with eight locations around the world, and we’ve been trusted by fintechs, financial institutions, healthcare companies, governments, and brands across 120+ countries. We deliver end-to-end innovation through high-security, state-of-the-art facilities that are incubators for advancements in payments, secure access, and additive manufacturing. The Team At ABCorp, we know that our legacy and decades of achievement are powered by an exceptional team that embodies a true startup mindset. The Analytics Engineering Team at ABCorp partners closely with Product Management, Engineering, Sales, and Customer Success to build the data foundations that drive product strategy and business decisions. Analytics Engineers serve as trusted advisors to stakeholders across the organization, translating complex data into actionable insights that shape our secure payment products, enterprise SaaS platforms, and digital consumer experiences. Our team owns everything from data modeling and instrumentation to metrics definition, experimentation frameworks, and self-service analytics that empower teams to make data-driven decisions at scale. Learn more about ABCorp's story, products and team at abcorp.com. The Role ABCorp is seeking a highly skilled Senior Analytics Engineer to own the data and analytics strategy for our secure payment card solutions and enterprise SaaS products. This role will serve as a hybrid Data Analyst and Data Engineer, understanding the business problems to solve and building scalable data infrastructure to achieve business goals. The ideal candidate will possess strong analytical and technical skills, excellent communication abilities, and a proven track record of partnering with product and business teams to drive measurable impact through data. The ideal candidate will bring an intense focus on data quality and reliability, an ability to influence cross-functional stakeholders, strong product intuition paired with analytical rigor, and a passion for building scalable data models and self-service analytics capabilities. As a key partner to our Product and Engineering teams, you will help shape products that reach millions of people in their everyday lives across fintech, commercial, healthcare, and government industries worldwide. This is an in-person role with our team based in Boston, MA. How You’ll Make a Difference: • Partner closely with Product Management, Sales, and Customer Success teams to understand their data and reporting needs, translating business questions into structured analysis, metrics, and data-driven insights., • Build and maintain data warehouse models that serve as the source of truth for product usage, customer engagement, manufacturing efficiency, and business performance metrics., • Design, implement, and own key performance indicators (KPIs) and metrics frameworks that measure product success, user adoption, feature utilization, and business outcomes across our payment card manufacturing, enterprise SaaS, and digital issuance products., • Create dashboards, reports, and self-service analytics tools that enable stakeholders across Product, Sales, Customer Success, and Operations to access and act on data independently., • Model and integrate data from multiple sources including CRM systems, product usage events, manufacturing operations, billing systems, and customer feedback to power automation, enrichment, and operational workflows., • Collaborate with Product and Engineering teams on event instrumentation, schema design, and data collection best practices to ensure clean, reliable data capture., • Conduct deep-dive analyses on customer behavior, feature adoption, conversion funnels, retention patterns, and operational efficiency to identify opportunities and inform product roadmap prioritization., • Support experimentation and A/B testing initiatives by designing test frameworks, analyzing results, and communicating findings to stakeholders., • Own data quality, observability, and governance practices including documentation, testing, and monitoring to ensure trustworthy analytics., • Build forecasting models and contribute to strategic planning by providing data-driven projections on customer growth, revenue, and product performance., • Identify opportunities to automate reporting, improve data pipelines, and scale analytics capabilities as the business grows., • Serve as a trusted data partner and educator, helping teams across the organization develop stronger data literacy and make better decisions. Who You Are • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related field., • 3-5+ years of experience in product analytics, data analysis, or analytics engineering roles, ideally supporting SaaS, payments, fintech, ecommerce, or enterprise software products., • Expert-level proficiency in SQL and experience with analytical data modeling, ideally using tools like dbt, SQLMesh, or similar frameworks., • Strong experience with data warehouses such as Snowflake, BigQuery, Redshift, or Databricks, and familiarity with ELT/ETL workflows., • Proficiency with BI and visualization tools such as Tableau, Looker, Mode, Hex, or similar platforms for building dashboards and reports., • Working knowledge of Python or R for data analysis, automation, and light data engineering tasks., • Demonstrated ability to translate ambiguous business questions into clear analytical frameworks and actionable recommendations., • Strong communication skills with the ability to present complex data insights to both technical and non-technical audiences., • Experience working cross-functionally with Product, Engineering, Sales, and Customer Success teams., • Comfort working with product analytics data including event tracking, user behavior, funnel analysis, cohort analysis, and retention metrics., • Experience with experimentation, A/B testing, and statistical analysis is a plus., • Familiarity with payments, card issuance, authentication, identity, fintech, or secure manufacturing domains is a plus., • Self-starter mindset with strong ownership, attention to detail, and ability to work independently in a fast-paced, evolving environment., • Unique opportunity to build data capabilities and drive insights on a global scale., • Ability to shape analytics for secure payment, authentication, identity and additive manufacturing products that impact people's everyday lives., • Opportunity to work with a market leader at the intersection of fintech, security, and digital products., • Company with rich legacy of innovation and trust., • Incredible global team with collaborative work environment., • Competitive salary and benefits package., • Professional growth and development opportunities.

Job Description Machine Learning Engineer – Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions for unmanned systems operating in GPS-denied and contested environments. We are a fast-growing, dual-use technology company at the forefront of national security and commercial innovation, with a mission to push the boundaries of what autonomous systems can achieve. Joining Tycho.AI means being part of a team shaping the next decade of autonomy from defense applications to commercial opportunities in areas like logistics, disaster response, and beyond. If you want to work at the cutting edge of AI/ML and robotics with a company that’s poised for major impact and growth, we want to hear from you. Responsibilities • Design, develop, and optimize ML models for computer vision and robotics tasks., • Build robust training and fine-tuning pipelines for large-scale datasets., • Integrate ML systems into real-world platforms, bridging research and production., • Write clean, efficient, and maintainable code across Python and/or C++., • Stay current on research and apply state-of-the-art techniques in autonomy and perception. Requirements • Bachelor’s or advanced degree in Computer Science, Engineering, or related field., • Hands-on experience applying ML to computer vision and/or robotics., • Proficiency with PyTorch or TensorFlow., • Strong coding skills in Python or C++ (ideally both)., • Experience deploying ML models and building training pipelines., • Familiarity with Git and collaborative software development practices. Nice to Have: • CUDA kernel development and model optimization (quantization, pruning, distillation)., • Experience with ONNX, TensorRT, or OpenVINO for deployment., • Robotics middleware (ROS2)., • SLAM, 3D perception, or sensor fusion (LiDAR, IMU)., • Real-time or low-latency inference pipelines. Why Tycho.AI • Be part of a rapidly scaling startup defining the future of autonomous intelligence., • Collaborate with top engineers and researchers from MIT, Google, and across the defense innovation ecosystem., • Direct impact on national security missions and dual-use commercial applications., • Along with a competitive salary and options, Tycho.AI offer a robust benefits package, including many options from medical insurance with 80% company contribution to pet insurance and a 401(k) retirement plan.

Job Description Mission Summary The AI Data Foundry is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives: • Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant., • Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform., • Play a key role in designing and building the next generation of data infrastructure., • Build scalable backend services for data discovery and data lineage systems., • Write high quality, maintainable code to process petabytes of data, • Lead and champion high-level system design and quality code reviews/technical contributions., • 3+ years of professional experience as a data engineer or data pipeline engineer, • BS or MS in Computer Science or related field, • Strong development experience with Python and SQL., • Expertise with AWS services and solutions (EKS, Lambda, ETL), • Experience with distributed system design and development, • Experience with Infrastructure Monitoring Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$149,000—$198,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionJoin REEKON Tools as we enable the next generation of construction and home improvement professionals to complete their work quicker, more accurately, and faster than ever before. REEKON Tools is developing and launching innovative, completely new, hardware products at an unprecedented pace across the power and hand tool industry and establishing itself as a leader in professional tools and equipment. As a Mechanical Design Engineer, you will work hand in hand with our engineering team as you help bring cutting edge new hardware products to market. REEKON Tools has tools and devices in all stages of development. In this role, you will be a central force in helping advance products from R&D through manufacturing working on multiple product lines and having a high level of autonomy and ownership.The Job • Design integrated tools and devices based on high level product requirements and collaboration with adjacent electrical, embedded and industrial design engineers, • Rapidly iterate from ideation -to- prototyping -to- testing of new tools and products, • Communicate your designs to the team. Articulate their strengths and weaknesses and collect actionable feedback that you will use to iterate on your designs, • Devise and execute tests that validate your design’s performance to real-life conditions, • Devise jigs / fixtures / equipment that help test and debug various systems of our products, • Maintain 3D CAD models and documentation of system architecture and components, • Own and execute transition of products from engineering samples to full volume production in their entirety, • Execute documentation, drawings, and instructions to be used during NPI Process, • Manage incoming and outgoing communications with supply vendors for both prototype and production parts, • Discover new vendors and suppliers based on evolving needs of the organization and new product development, • Oversee and manage communication channels and tracking to ensure streamlined operations between internal and external groupsYour Background, • Expert CAD skills (Solidworks preferred), • Experience designing for high volume manufacturing processes (injection molding, die casting, metal bending and forming), • Experience in iteration driven product design environments, integrating design feedback with mechanical constraints to form integrated hardware products and tools, • Able to interpret and analyze manufacturer inspection reports and provide actionable feedback., • Knowledge of GD&T, • Rapid fabrication of mechanical assembly prototypes using shop tools, laser cutting, and 3D printing, • Can demonstrate ability / experience in designing production equipment including:Assembly fixtures, Inspection equipment, Calibration jigs, • Self-driven and passionate about your work:, • You set high standards of performance for self and others, • Assume responsibility and accountability for successfully completing assignments or tasks, • You have self imposed standards of excellence rather than having standards imposedBonus Skills, • Experience working with contract manufacturer (domestic or international), • Mentoring/management experience of engineers, • Shipping hardware products in startup environment, • Material selection (especially plastics), • Can create low-level embedded systems / automations using commercially available microcontrollers (arduino, Raspberry Pi, etc) and off-the-shelf sensors, • Basic electronics and circuit design

Job Description Aquinas Consulting is currently looking for a HYBRID Senior Data Engineer for our high growth technology partner as they continue commercializing and scaling their insurtech platform. In this role, you will be responsible for collecting, managing, and converting raw data into information that can be interpreted by Data Scientists and Business Analysts for future usage. Our partner is under a Fortune 5 global organization, where you will work cross functionally with senior leadership to continuously improve and support the functionality of its data-driven initiatives. Senior Data Engineer Job responsibilities: • Work on data model designs and ERD documentation to support new data sets and systems implemented around the organization., • Identify operational data gaps and recommend data driven solutions to address those gaps in a secure, performant and reliable manner., • Perform in-depth analysis of existing data load, analytics, and visualization code to ensure accuracy of data flow., • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader., • Bachelor’s or Master’s Degree in Computer Science/Engineering (or related field) or equivalent working experience, • 5 + years of demonstrated professional software or data engineering experience with specialization in data modeling and business intelligence., • 3 + years have experience with Microsoft Azure, specifically with concentration in ETL processing via Data Factory., • Near expert knowledge of the SQL Server stack (2016+), ETL and Transact SQL (TSQL)., • Experience with relational database modeling, star schemas and Data Warehousing., • Deep working knowledge of Python and modeling datasets for dashboards for BI visualization tools such as Power BI / SSRS / Tableau is a plus. Please note: Applying to this role is an agreement to have your information entered into our database and acknowledgement that a recruiter will reach out to you either by phone, email, and/or text message regarding this and similar job opportunities. Aquinas Consulting is a woman and minority owned company headquartered in Milford, CT that provides Engineering, Information Technology (IT), and Manufacturing staffing solutions throughout the US. We take pride in 20 years of service to our clients, our hiring managers, our consultants, and our local community. Aquinas is an affirmative action, equal opportunity employer and committed to considering all qualified applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law.

Job Description Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform — APIs, workflows, and applications that bring voice understanding to customers at enterprise scale. We’re looking for our first Site Reliability Engineer to own and scale the reliability of our production systems. This role will be critical in ensuring high availability across our Developer APIs platform and Enterprise products, while building the foundations for monitoring, incident response, and operational excellence as we grow. Your Impact You will play a foundational role in ensuring Modulate’s systems are reliable, scalable, and enterprise-ready. * Own the reliability and availability of Modulate’s production infrastructure * Build monitoring, alerting, and incident response systems from the ground up * Establish sustainable on-call practices that balance reliability with team health * Partner with engineering and leadership to shape infrastructure and reliability strategy * Help define how Modulate delivers enterprise-grade uptime and performance What You Will Do * Own and operate production systems supporting Modulate’s APIs and enterprise products * Design and implement monitoring, alerting, and observability systems * Lead incident response, root cause analysis, and postmortem processes * Build and improve on-call rotations and operational workflows * Collaborate with engineers to deploy, maintain, and scale distributed systems * Partner with leadership on infrastructure decisions, roadmaps, and reliability goals * Evaluate and support deployment models including cloud, on-prem, and hybrid environments * Continuously improve system performance, resilience, and scalability What We Are Looking For * Experience deploying and maintaining production software systems * Experience building monitoring and alerting systems for production environments * Experience with on-call rotations and incident response * Strong experience with AWS, Python, and Linux * Familiarity with tools such as CloudWatch, SNS, PagerDuty, or similar technologies * Strong debugging, systems thinking, and problem-solving skills * Ability to communicate effectively during high-pressure incidents * Experience working in fast-paced or early-stage environments Nice to Have * Experience with AWS services such as EC2, load balancers, RDS, SQS, SES, and CloudWatch * Experience with infrastructure-as-code (e.g., Terraform, CloudFormation) * Experience supporting high-scale, distributed systems * Familiarity with hybrid or on-prem deployment models Benefits At Modulate, we prioritize people and sustainability—because doing great work requires feeling supported and safe. Some of our key benefits include: * Competitive salary + equity * Full health, dental, and vision coverage * Flexible PTO, with a strong culture of taking it * Weekly team lunches with dietary accommodations * Hybrid work: core in-office days with flexible remote options * Regular leadership and industry learning sessions * Support for career development and continued learning * Up to 8 weeks work-from-anywhere policy * A deeply inclusive, human-centered culture Pay Transparency Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience. Salary: $150,000 - $200,000 Equity: Offered Other perks: HSA, FSA, 15 holidays, professional growth resources About Modulate Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We’re trusted by leaders in gaming and beyond—and we’re growing fast. We believe that great cultures don’t just happen. That’s why we’ve built a foundation of intentional systems: from bias-reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people—and we’re building technology that does the same. Ready to join us? Apply here or reach out directly—we’re excited to meet you. A quick note as you apply We kindly ask that you apply through the website rather than emailing . For the questions “Your fit for the role,” “Your values/goals,” and “Why Modulate?” on our application form, we kindly ask that you focus your responses on experiences and motivations that directly relate to the role. Please avoid including details that would reveal protected demographic information (such as race, age, gender, ethnicity, or sexual orientation), as we strive to assess all candidates equitably and without bias. We also want to hear your authentic voice. While it can be helpful to use tools to support your thinking, we ask that your responses reflect your own perspective. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As a Staff Electrical Engineer on the WHOOP Hardware team, you will lead the architecture, design, and delivery of complex embedded hardware subsystems within highly integrated human performance products. You will work closely with Electrical, Mechanical, Firmware, Manufacturing, Supply Chain, and Software teams to translate system-level requirements into robust, production-ready hardware. WHOOP products integrate wireless connectivity, sensing, power management, and user-facing functionality in a small, low-power form factor, requiring strong mixed-signal design fundamentals and rigorous systems thinking. This role emphasizes end-to-end subsystem performance, including power, timing, noise, latency, interoperability, and manufacturability. You will be a hardware technical leader who can define requirements, influence architecture choices, and partner effectively across bring-up, tuning, validation, and production ramp. This role is well suited to an engineer with deep expertise in at least one electrical engineering domain and the curiosity and judgment to expand into adjacent areas as product needs evolve. RESPONSIBILITIES: • Lead the architecture and delivery of complex embedded hardware subsystems; own electrical specifications, performance metrics, risks, and execution plans., • Design low-power, high-performance mixed-signal hardware from component selection through system integration, including schematic capture and PCB layout/review., • Drive cross-functional tradeoffs across performance, power, size, thermal behavior, coexistence, reliability, and manufacturability in tightly integrated wearable products., • Define and verify subsystem requirements related to timing, synchronization, power modes, noise, latency, calibration, and interface behavior., • Translate system and product goals into measurable electrical requirements, validation plans, and subsystem-level success criteria., • Partner with firmware, software, and algorithm teams to define interfaces, control/data flows, observability hooks, and validation strategies for real-time embedded systems., • Lead bring-up, debug, and characterization using lab instrumentation; correlate bench behavior with device telemetry and end-to-end product performance., • Build analysis and validation workflows using Python, MATLAB, or equivalent tools, including test vectors, golden datasets, and automated characterization/regression methods., • Take primary ownership of a subsystem aligned with prior depth while stepping into adjacent technical areas as product needs evolve., • Mentor other engineers through design reviews, debugging strategy, and disciplined engineering execution., • Travel up to 15% domestically and internationally to partners, suppliers, and contract manufacturers.QUALIFICATIONS:, • BS or higher in Electrical Engineering or a related field., • 9+ years of relevant hardware engineering experience, including 5+ years operating at a senior level or above with meaningful subsystem ownership., • Proven ownership of embedded electronics from architecture through schematic, PCB layout/review (for example, Altium), bring-up, validation, and production release (for example, Arena)., • Strong circuit design fundamentals spanning mixed-signal design, power, and digital interfaces in low-power embedded systems., • Demonstrated success delivering robust, interference-resilient, highly integrated subsystems under tight power, size, and performance constraints., • Experience defining and verifying timing, synchronization, interface, and performance requirements for embedded systems., • Hands-on debug and characterization expertise using standard lab instrumentation such as oscilloscopes, logic analyzers, spectrum analyzers, and power analysis tools., • Strong systems instincts and the ability to translate product goals into hardware requirements, architecture decisions, interface definitions, and validation plans., • Effective cross-functional partner to firmware, software, mechanical, manufacturing, and algorithm teams., • Data-driven validation mindset and tooling experience in Python, MATLAB, or equivalent to analyze captured datasets, automate characterization, and support regression testing., • Demonstrated ability to lead through ambiguity, make sound engineering tradeoffs, and drive complex technical decisions to closure., • Depth in at least one complex embedded subsystem area, along with the ability and appetite to expand into adjacent domains., • Experience building miniaturized wearables or other highly integrated wireless consumer devices desired., • Experience bringing new platform capabilities or first-generation features from concept through production desired., • Experience owning one or more complex subsystems in products with demanding power, packaging, thermal, or coexistence constraints desired., • Prior success working across hardware, firmware, and software boundaries to tune end-to-end system performance desired., • Track record of growing beyond original domain expertise to lead adjacent technical areas desired., • Experience supporting manufacturing bring-up, supplier engagement, and design maturity through production ramp desired. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $165,000-$195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:We are seeking a Sensor Integration Engineer to support selection, characterization, calibration, and integration of multi-modal navigation and localization sensors for aerospace applications. This role operates at the intersection of electrical, mechanical, and software engineering, requiring the ability to work across disciplines and directly contribute to cross-functional engineering efforts. What you'll do:Sensor Selection, Integration & Characterization: • Support sensor integration activities from specification through production, • Develop and execute sensor characterization and calibration procedures for IMUs, GNSS receivers, cameras, and other navigation sensors, • Contribute to sensor trade studies and selection processes Cross-Functional Collaboration:, • Work closely with electrical engineering, mechanical engineering, and software engineering teams on:, • Electrical interfaces, power distribution, and signal conditioning, • Mounting solutions, alignment, and thermal/vibration considerations, • Software interfaces, drivers, data acquisition, and calibration implementation, • Participate in design reviews across EE/ME/SW disciplines, providing interdisciplinary perspective and coordination, • Willingness to support occasional travel to support teammates with integration and testingTechnical Contributions:, • Develop and execute test plans for sensor performance characterization and validation, • Document sensor characteristics, trade studies, and integration requirements, • Develop or modify calibration scripts and data processing tools, • Support development of calibration procedures and tooling, • Debug issues spanning hardware-firmware-software boundaries, • Review and contribute to schematics, CAD models, and code as necessary Required qualifications:Education & Experience:, • BS in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Physics, or related field, • 1-4 years of relevant experience (new grads with strong cross-functional internship/project experience will be considered), • Demonstrated ability to work across at least two of: electrical, mechanical, software domains Technical Skills:, • Understanding of sensor measurement principles and error sources, • Ability to read and understand electrical schematics and/or mechanical drawings, • Basic proficiency in scripting or programming for data analysis (Python, MATLAB, or similar), • Familiarity with sensor communication protocols (SPI, I2C, UART, CAN, etc.), • Hands-on experience with lab equipment and sensor testing Cross-Functional Aptitude:, • Comfortable learning and working outside primary discipline, • Ability to communicate effectively with engineers from different backgrounds, • Willingness to engage with hardware, firmware, and software aspects of sensor systems, • Strong analytical and problem-solving skills across multiple domains Preferred qualifications:, • Experience with navigation or localization sensors (IMUs, GNSS, cameras, altimeters, etc.), • Exposure to sensor calibration or characterization activities, • Basic proficiency with engineering tools such as Altium, NX, and Teamcenter, • Familiarity with embedded systems or real-time software, • Understanding of coordinate transformations or sensor fusion concepts, • Experience with automated testing or data acquisition systems Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.