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Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission. WHOOP is hiring a Software Engineer II focused on backend development to build and enhance systems that power our platform. This role will directly contribute to delivering scalable and secure services that support millions of members worldwide. While backend development expertise is the primary focus, familiarity with cybersecurity concepts (data privacy, AuthN/AuthZ, etc) or cloud infrastructure concepts (AWS, IaC, Kubernetes, etc) will be considered a strong plus. This is a top-funnel role: depending on your background and interests, you may align more closely with our Product Security team (focused on secure-by-default guardrails, compliance, and data privacy) or our Application Infrastructure team (focused on scalability, reliability, and developer enablement). Either way, you’ll have the opportunity to shape core platform practices and help WHOOP grow to the next level. This posting is for an immediate new hire to our team. For those graduating in the spring or fall of 2026 seeking entry level roles, we kindly ask that you check out this New Grad Opportunities job posting instead to be considered for roles opening at that time. Thank you.RESPONSIBILITIES: • Design, develop, and maintain robust, scalable backend systems that power WHOOP’s core infrastructure and member experience., • Collaborate with product managers, data engineers, frontend developers, and other cross-functional partners to deliver features that enhance member engagement., • Build and maintain APIs to enable seamless integration with frontend applications and third-party services., • Ensure system reliability, scalability, and performance through effective testing, monitoring, and optimization., • Implement secure coding practices and contribute to designing systems that safeguard member data., • Stay current with backend technologies and contribute to improving team engineering standards and best practices.QUALIFICATIONS:, • 2-4 years of backend software development experience, ideally in languages like Java, Python, or C#., • Experience designing and building RESTful APIs and microservices., • Exposure to event-driven architecture (messaging/streaming tech such as Kafka, RabbitMQ)., • Familiarity with database design and management (e.g., PostgreSQL, MySQL, or NoSQL databases)., • Understanding of cloud infrastructure (AWS, GCP, or Azure)., • Familiarity with cybersecurity principles (data privacy, authentication, and authorization) is a plus but not required., • Strong problem-solving skills and ability to work in a fast-paced environment., • Good communication skills and ability to collaborate across teams.BONUS QUALIFICATIONS:, • Experience working with infrastructure as code and developer enablement platforms., • Familiarity with containers and orchestration (e.g., Docker, Kubernetes)., • Background in cloud security or incident response., • Exposure to building translation or localization platforms to support multi-language content delivery., • Hands-on experience with observability tools (logging, monitoring, alerting) in production environments.ABOUT YOU, • You thrive on ownership and want to shape the foundation of WHOOP’s platform., • You automate everything you can, always seeking to replace manual work with scalable tooling., • You enjoy working cross-functionally and can communicate complex infrastructure and security topics clearly.

Job Description This is a fully remote opportunity. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team. About the Role: We are seeking a Staff Data Engineer with a deep understanding of healthcare data, including claims, clinical, patient-reported outcomes data, or bioinformatics, to design, build, and manage data pipelines for our health insurance clients. The ideal candidate is a lifelong learner with a proven ability to interpret complex health-related datasets. This role requires an expert in using Airflow to orchestrate ETL pipelines, ensuring the efficient, reliable movement of healthcare data across systems. A subject matter expert (SME) in health and bioinformatics data is essential for success in this role. How you will make an impact: • Design, build, and implement data systems to support ML and AI models for our health insurance clients, ensuring strict compliance with healthcare data privacy and security regulations (e.g., HIPAA)., • Develop tools for extracting, processing, and profiling diverse healthcare data sources, including EHRs, medical claims, pharmacy data, and genomic data., • Collaborate with data scientists to transform large volumes of health-related and bioinformatics data into modeling-ready formats, prioritizing data quality, integrity, and reliability in healthcare applications., • Build and maintain infrastructure for the extraction, transformation, and loading (ETL) of data from a variety of sources using SQL, AWS, and healthcare-specific big data technologies and analytics platforms., • BS in Computer Science, Bioinformatics, or another quantitative discipline with 10+ years working with Data and ETL Pipelines., • Experience with interpreting health, medical, or insurance data required., • Experience working with some form of IaC like Terraform or Jenkins, • Experience working with CI/CD like Github Actions., • Experience working with containerization, specifically related to Docker and Kubernetes., • Skilled in using data orchestration frameworks, specifically Airflow., • A fun, team-oriented startup culture., • Generous stock options - we all get to own a piece of what we're building., • Unlimited vacation days., • Flexible schedule that supports working from home., • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more. Salary Range: $150,000-185,000 base salary annually. This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.

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 DescriptionCloud Systems Architect Employment Type: Full-Time, Mid-levelDepartment: Information Technology We are seeking a Cloud Systems Architect with experience with cloud infrastructure to engineer and support public, private and hybrid clouds. The ideal candidate will be proficient in a variety of cloud hosts including Amazon Web Services and Microsoft Azure at a minimum. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- The candidate will be knowledgeable of the most recent updates and developments and act as an advisor to our customer in reference to the cloud management strategies to be employed to take advantage of the benefits offered by cloud computing such as being able to function without any restrictions to the workload, initiate as many workstations as necessary per time period and pay only for what they actually use. - The candidate will also work with the IT Security team to manage and maintain cloud systems security of the data and network resources. - The candidate will also be responsible for engineering on customer premise applications and systems interconnected to cloud resources. - Designs and defines system architecture for new or existing complex computer systems. - Determines systems specifications, input/output processes, and working parameters for hardware/software compatibility and maintenance of system security. - Coordinates design of subsystems and integration of total system. Identifies, analyzes, and resolves program support deficiencies. - Develops and recommends corrective actions. - May provide technical guidance for database administrators and software developers. Qualifications:- Experience with and a complete understanding of the technology required for cloud computing.- Experience with the skills to migrate applications to the cloud.- Be able to build relationships between the customers and the team members.- The ability and the knowledge to integrate services and tools to any and all areas to be used such as networks and data processing.- The ability and the knowledge to implement security information and event management to keep the customer's assets safe.- Experience with meeting or exceeding the requirements of cloud provider service-level agreements Experience with AWS and Azure.- Knowledge of a multitude of programming languages including Python, PHP, Java, Node and Ruby on Rails.- Typically a Bachelor's Degree and 6 years work experience or equivalent experience. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ 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 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. This position leads client projects in the conception, execution, and delivery of Master Data Management (MDM) systems for the commercial efforts of pharmaceutical and life science firms. Additionally, this position leads client interactions regarding existing and future MDM projects and identifies areas for future growth. We'll Trust You To: • Oversees and develops MDM projects to ensure methodological soundness; consistently delivers quality client services and drives high-quality work products within expected timeframes and on budget., • Leads project teams in the design and development of MDM projects, including the design and configuration of internal MDM platform and creation of MDM specific deliverables., • Advises on strategy, team resources, and deadlines, and assumes data investigation and platform configuration tasks as necessary to support internal team and clients., • Works with project leadership to define project scope and development approach for each project, including conducting issue analysis and hypothesis development., • Synthesizes findings, develops recommendations, and communicates results to clients and internal teams., • Assumes project management responsibilities for MDM implementation on each project with minimal supervision, including managing client communication, leading meetings, drafting agendas, managing timelines and serving as a regular point of contact for clients., • Works independently or with a team to build out data processes., • Coordinates with diverse teams, including those globally., • Frequently utilizes coding to facilitate data processing and reporting., • Provides project leadership for team members regarding process improvements, planned approaches for client requests, or transition of new deliverables., • Monitors progress, manages risk and ensures key stakeholders are kept informed about progress and expected outcomes; manages project finances by maintaining financial summaries, drafts SOWs for new work, and manages client invoices., • Assists in supporting management, including promoting employee engagement, recruiting, training, and providing ongoing education, employee mentorship and coaching; contributes to internal initiatives as needed., • Fosters an innovative and inclusive team-oriented work environment., • Coaches and mentors junior team members on their professional development and serves as their Professional Development Manager., • Bachelor’s or advanced degree with at least 8 years of relevant professional experience., • Experience implementing or supporting HCP, HCO, and payer MDM or other centralized data management solutions in the US pharmaceuticals market, • MDM experience in Oncology therapeutic area preferred, • CDW experience in US Pharmaceuticals market preferred, • Proficiency using Microsoft Office products, such as PowerPoint and Word; advanced Excel skills required., • Coding skills in Python, R or SAS required, • Advanced analytical and problem-solving skills., • Excellent verbal and written communication skills., • Strong organizational and time management skills., • Effective project management and people management skills., • Ability to work effectively with others and adapt quickly. 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 DescriptionCompany Profile Founded in 1977, GMO is a global investment manager committed to delivering superior long-term investment performance and advice to our clients. We offer investment strategies and solutions where we believe we are positioned to add the greatest value for our investors. These include multi-asset class, equity, fixed income and alternative offerings. We manage approximately $78bn for a client base that includes many of the world’s most sophisticated institutions, financial intermediaries, and private clients. Industry-wide, we are well known for our focus on valuation-based investing, willingness to take bold positions when conditions warrant, and candid and academically rigorous thought leadership. Jeremy Grantham, GMO’s Co-Founder and Long-Term Investment Strategist, is renowned as an expert in identifying speculative investment bubbles and also as a leading climate investor and advocate. GMO is privately owned and employs over 430 people worldwide. We are headquartered in Boston, with additional offices in Europe, Asia and Australia. Our company-wide culture emphasizes commitment to clients, intellectual curiosity, and open debate. We celebrate and respect our differences, while embracing and valuing what each of us brings to work, as we know that diverse teams in an inclusive, caring environment achieve higher engagement and better client results. Please follow the prompts included in this job posting to apply. The application window for this role is anticipated to remain open until the job is filled, or as otherwise determined by GMO. Department ProfileThe Technology Client Systems Team is responsible for the development and support of line of business applications that support GMO’s clients and their overall experience with GMO. This team consists of 10 technology professionals whose key functions include application development, system integration, application support, and production support. The supported business areas are Client Services and Sales, Marketing, Shareholder Services and Operations. Position OverviewThe Software Engineer will be a senior individual contributor responsible for the technical design, full stack implementation and maintenance for several systems built on Microsoft .NET in C# and Angular. This individual will also be responsible for contributions on a Python, data-centric architecture redefining how fellow developers and business partners access information within the firm. The candidate will work within an agile project team and will have close interaction with our business stakeholders.Primary Responsibilities • Design and implement technical solutions for our business partners, • Enhance existing applications and libraries, • Fix existing system issues, • Migrate existing systems to a cloud environment, • Work with business partners to develop requirements, • Produce effective technical documentation where neededMandatory Requirements, • Minimum 6-8 years of programming experience in C# and the Microsoft stack, • Working knowledge of Python, • Solid understanding of object-oriented design and architecture, • Proficient in SQL, preferably T-SQL in Microsoft SQL Server, • Experience with cloud-based platforms such as Microsoft Azure or AWS, • Strong understanding of software architecture and the design of distributed systems, • Strong grasp of web technologies including at least one prominent JavaScript framework, Angular preferred, • Familiarity with distributed enterprise applications, • Understanding of Agile practicesPreferred Requirements, • Experience migrating distributed applications to a cloud-based platforms, • Experience working with client reporting vendor systems such as Coric, • Experience working with web content management systems such as Optimizely or Sitecore, • Experience with marketing automation systems such as SeismicSkills & Characteristics, • Driven, intellectually curious, self-motivated, independent, and consistently demonstrates ownership, • Ability to work harmoniously and collaboratively within a teamThis is a reasonable, good faith estimate of the current salary range for this role. GMO’s salary range accounts for a wide array of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs. In addition, this position is eligible for a discretionary annual bonus award, which award may be determined by individual, team, department and firm performance, and is subject to the terms of GMO’s compensation plan. This position is also benefits eligible. GMO’s comprehensive benefits program includes medical insurance, dental insurance, life insurance, long-term disability coverage, a 401(k)/profit-sharing retirement plan, open paid time off, leaves of absences, dependent care resources, tuition reimbursement, charitable gifts matching, flexible spending accounts, and commuter benefits.GMO is committed to the recruitment, employment, and promotion of all candidates equally, regardless of an individual's gender, race, color, national origin, ancestry, age, religion, pregnancy, marital status, sexual orientation, gender identity or expression, military or veteran status, genetic information, physical or mental disability (except where such disability is a bona fide occupational disqualification) or any other classification protected under federal, state or local law.

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. Beghou Consulting is seeking an Associate Manager, Cloud Engineering to lead the design, governance, and operation of our internal cloud platforms that power customer-facing data and analytics solutions. This is a hybrid role combining hands-on engineering with strategic leadership, responsible for ensuring Beghou’s multi-cloud infrastructure — across AWS and Azure — is secure, scalable, and operationally excellent. The successful candidate will define technical direction, lead a team of cloud engineers, and collaborate with architecture, security, and product delivery teams to maintain the infrastructure that supports our clients’ most critical systems. We'll Trust you to: • Platform Strategy & Architecture, • Develop and maintain the strategic roadmap for Beghou’s internal cloud environments that support client-facing applications, APIs, and analytics workloads., • Architect and evolve secure, scalable, and resilient multi-cloud infrastructure leveraging AWS and Azure native services., • Establish platform governance, operational standards, and automation frameworks for consistent, compliant, and cost-effective cloud operations., • Partner with Information Security, Data Engineering, and IT teams to align infrastructure architecture with compliance (e.g., SOC 2, HIPAA) and data protection policies. - Evaluate and implement new technologies to improve platform performance, reliability, and developer efficiency., • Leadership & Team Management, • Manage and mentor a team of Cloud Engineers and DevOps professionals, ensuring high-quality delivery and adherence to best practices. - Provide technical leadership for cloud operations, automation, and security initiatives., • Balance priorities across enhancement projects, security hardening, and ongoing operational support., • Foster a culture of accountability, collaboration, and continuous improvement within the engineering team., • Operations & Security Oversight, • Oversee cloud operations supporting production and client environments, ensuring uptime, observability, and reliability., • Implement and maintain monitoring, alerting, and incident response frameworks for proactive risk management., • Enforce identity and access governance, encryption, and network security controls across AWS and Azure., • Partner with the Security and Compliance teams to ensure audit readiness and proper control documentation., • Lead cost management, usage reporting, and resource optimization efforts across platforms., • Hands-On Technical Contribution, • Contribute directly to design and deployment of cloud infrastructure, automation pipelines, and IaC frameworks using Azure DevOps and Terraform., • Provide escalation support and lead root cause analyses for high-impact platform incidents., • Participate in infrastructure reviews and ensure implementation consistency across global environments. You'll need to have:, • 8–12 years of experience in cloud or infrastructure engineering, with 3–5 years in leadership, architecture, or platform management roles., • Proven experience managing AWS and Azure environments hosting customer-facing applications or data services., • Deep understanding of networking, identity, security, and automation concepts in multi-cloud environments., • Experience with monitoring, logging, and security tools, including:, • AWS: VPC, EKS/ECS, EC2, S3, IAM, CloudTrail, CloudWatch, GuardDuty, KMS, RDS, Lambda., • Azure: App Services, Virtual Machines, SQL Database, Blob Storage, IAM, AKS, Azure Firewall, Policy, Monitor, Key Vault, Defender., • Proficiency in infrastructure-as-code, DevSecOps, and CI/CD pipelines using Azure DevOps, Terraform, or similar tools., • Strong scripting skills (Python and/or PowerShell)., • Cloud certifications such as AWS Solutions Architect Professional or Azure Solutions Architect Expert preferred., • Demonstrated ability to translate business objectives into secure, scalable technical architectures. What You Bring:, • Experience managing customer-facing SaaS, analytics, or data platforms., • Familiarity with cloud compliance and governance frameworks (SOC 2, ISO 27001, HIPAA)., • Understanding of cloud financial management (FinOps) and cost optimization practices., • Experience leading cross-functional engineering initiatives involving security, DevOps, and application delivery teams. 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 SimpliSafe We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping 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 who we protect. We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. Why are we hiring? Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. About the role SimpliSafe is seeking a highly motivated, detail-oriented Senior Manager, Marketing Analytics to build, maintain, and continuously improve forecasts for the company's most critical DTC metrics: sales, subscriptions, and key unit economics. This is a high-ownership, high-visibility individual contributor role. You will be the primary owner of daily and monthly forecasting, and a key contributor to quarterly outlooks and planning. You'll partner with Marketing, Finance/FP&A, Supply Chain/Operations and Product to ensure forecasts are trusted, decision-ready, and tightly connected to real business levers. You'll develop a deep understanding of the end-to-end customer funnel and subscriber lifecycle, translate promotions and marketing plans into forecastable drivers, and improve accuracy through better models, stronger assumptions, and systematic error analysis. You will be expected to proactively surface risks/opportunities and provide leadership with clear narratives on what changed, why, and what to do next. What you'll do 1. Own the forecast (system + cadence) • Own daily and monthly forecasts for: traffic/leads, orders, activations/installs, new subscribers, ARPU, and revenue., • Produce and publish weekly/monthly/quarterly forecast updates with clear assumptions, versioning, and stakeholder-ready outputs., • Maintain a driver tree that connects controllable inputs (media, promos, pricing, channel mix) to outcomes (sales, subscribers, revenue). 2. Build driver-based models that leadership can trust • Build and maintain forecasting models (time series + causal drivers) that incorporate seasonality, promo calendars, pricing/offer changes, channel mix, and operational constraints., • Layer assumption-driven adjustments on top of model outputs when business context changes (new promo mechanics, product launches, macro shifts), and document the "why.", • Develop scenario plans (base/upside/downside) and sensitivities for media spend, promo depth, pricing changes, and macro/competitive shifts. 3. Forecast marketing impact + lead media measurement (incrementality-first) • Translate marketing plans into forecast inputs: spend by channel, expected reach/response, lags, saturation/diminishing returns., • Incorporate incrementality learnings (A/B, geo, lift tests) and/or MMM/MTA outputs into response curves and forecast drivers—explicitly separating correlated performance from expected incremental impact., • Partner on media measurement and marketing performance analytics: design and analyze incrementality tests (A/B, holdouts, geo/lift), partner on MMM/MTA, and translate results into response curves, CAC/ROAS benchmarks, and planning assumptions., • Diagnose funnel shifts (conversion, approval, attach) and lifecycle shifts (retention/churn) and explain performance in plain language. 4. Own Direct P&L tie-outs and performance attribution • Own reporting that ties operating forecasts to Direct P&L outcomes (sales, subscription, revenue and unit economics), including clear bridges of forecast vs actuals., • Ensure consistent metric definitions and reconciliations across systems (billing, marketing, finance), with an audit-friendly methodology and change log., • Provide leadership with a tight "forecast vs actuals" story: what moved, what drove it, and what actions are recommended. 5. Innovate and improve forecast accuracy over time • Own forecast performance tracking (e.g., WAPE/MAPE, bias) and run root-cause error decomposition by channel/promo/segment/horizon., • Implement improvements: better features/drivers, segmentation/cohorts, hierarchical forecasts, improved promo pull-forward treatment, anomaly detection/alerting, and automation., • Forecast accuracy improves over time (lower error and bias) across sales, subscription, and unit economics at daily/monthly/quarterly horizons., • Media measurement + testing enablement: support team-wide measurement and testing initiatives for media investments, translating results into planning assumptions and forecast updates., • Forecast methodology innovation: stronger driver tree, better segmentation, improved promo and media response modeling, monitoring/alerting, and more automation., • Leadership impact: recognized as a go-to resource for business performance narratives, risk/opportunity surfacing, and decision support., • Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Operations/Supply Chain, Business Analytics). Master's/MBA preferred., • 7+ years in forecasting, planning, or advanced analytics (with exposure to marketing measurement/analytics); strong preference for DTC and/or subscription businesses., • Advanced SQL and Python are required (complex data extraction, transformation, modeling, automation, reproducible analysis)., • Strong forecasting toolkit: time series, regression/causal modeling, scenario/sensitivity modeling; experience with hierarchical forecasting a plus., • Strong grasp of marketing effectiveness measurement (incrementality, attribution limitations, media response, saturation)., • Experience analyzing experiments (A/B, holdouts, geo tests) and translating results into planning assumptions., • Strong Excel/Google Sheets skills for stakeholder-ready scenario models., • Executive-ready communicator turns complex modeling into clear decisions, tradeoffs, and recommendations., • Strong business judgment in DTC/subscription mechanics: funnel dynamics, subscriber lifecycle, pricing/promotions, and operational constraints that affect realized demand and revenue., • Self-starter with high ownership independently identifies problems/opportunities, drives work to completion, and escalates risks early., • Thrives in ambiguity defines problems, builds structure, and delivers on a cadence without being micromanaged., • Influences without authority builds alignment across Marketing, Finance, Operations, Product, and Engineering., • 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 DescriptionWhy Great Gray?At Great Gray Group, we strive to set the bar for the retirement services industry. Our goal is to deliver advanced retirement solutions that combine our core fiduciary services with robust investment options, innovative technology, and dedicated client service. We focus on making choices clearer, transitions smoother, and the client experience more delightful. Complacency isn't in our vocabulary. Every day, we look for opportunities to better serve our clients, be an excellent business partner, and earn the trust of those who rely on us. The RoleGreat Gray is looking to add a Full Stack Senior Engineer (.NET/React) on our Technology team. The engineer we seek comes with strong experience in compiled languages (ex. .NET, Java), and solid experience with frontend languages and frameworks (ex. JavaScript, Angular, React, Vue). You will be working collaboratively within an agile team, contributing to architectural decisions, and championing best practices in software development. If you believe in DevOps principles, value continuous delivery, and understand that quality is a shared responsibility you will do well here. Our team members are expected to take full ownership of our products as well as embrace efficiency and continuous improvement. We are not looking for a few rock stars, but rather very strong team players that wish to collaborate to create fantastic software. This is an exciting opportunity to grow alongside Great Gray as we expand, integrate, and build cutting-edge solutions. Your ability to mentor, solve complex technical challenges, and drive results will multiply the effectiveness of your team and shape the future of our technology LocationThis position will work from our Boston, MA office. Great Gray currently supports a hybrid work model with 4 days onsite, and 1 day remote. Visa sponsorship or transfer of an existing visa is not available for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship or transfer. Responsibilities · Develop and enhance scalable, maintainable, cost-effective cloud solutions using .NET Core, ensuring high performance and reliability.· Collaborate closely with cross-functional teams to translate business requirements into efficient, maintainable, scalable, and high-quality solutions.· Drive technical excellence through thorough code reviews, identifying opportunities for optimization, and enforcing best practices in code quality, security, and performance.· Proactively monitor and maintain business-critical platforms and services, ensuring high availability and seamless user experiences.· Diagnose and resolve complex technical issues, minimizing downtime and continuously improving system efficiency.· Contribute to innovation by exploring emerging technologies, design patterns, and architectural improvements to keep our solutions cutting-edge.· A problem-solving mindset and the ability to contribute to technical discussions.· Strong collaboration skills, fostering an environment of shared learning and innovation.· A passion for best practices, design patterns, and driving excellence in development.· The ability to balance multiple priorities while maintaining high-quality outcomes.· Complete other related duties as assigned Required Qualifications & Experience· Exhibits our Great Gray values: Growth Mindset, Disciplined Curiosity, Grit, Results Ownership, Collaboration.· 5+ years of software engineering or development experience with 3+ years of experience in a complied language (ex. .NET, Java).· Strong experience with RESTful APIs, microservices architecture, and event-driven systems.· Strong proficiency in SQL Server, PostgreSQL, or MySQL.· Experience with front-end technologies like Angular, React, or Next.js Preferred Qualifications & Experience· A solid understanding of software architecture principles and experience implementing design patterns.· Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.· A growth mindset with an eagerness to learn new technologies and adapt to evolving challenges.· Comfortable navigating ambiguity.· Entrepreneurial mindset to bring best practice ideas to the team.· Hands-on experience with Azure services and designing scalable, cost-effective cloud solutions. Tech StackOur current tech stack is a blend of existing and next-gen tools/languages, and like our company itself, our software is always evolving. · Frontend: Angular, React· Backend: C# .NET· Data Layer: MSSQL, Python, Postgres, Databricks· Infrastructure: Azure cloud· Tooling: Cypress, Docker, GitHub, Cursor, SonarQube Base Pay Range*$140,000-$170,000*This base pay range is subject to change and may be modified in the future. The pay range displayed above is the base pay compensation range that Great Gray expects to pay for this position at the time of this posting. Individual compensation within this range depends on multiple factors, including, but not limited to, candidate’s prior education and relevant work experience and training as well as position location and local market demands. Our pay-for-performance culture also includes participation in an annual incentive bonus plan for this position which is not included in the ‘Base Pay Range’ noted above.BenefitsWe have a comprehensive and competitive benefits package at Great Gray. Some of the highlights are:· Be an integral part of a high-growth organization!· Competitive compensation package· Group medical, dental and vision insurance· Employer-paid life and disability insurance· Annual well-being stipend· Eligible employees may also contribute to a 401(k) plan with an advantageous employer contribution model, upholding our mission to support our employees in retirement Company Background Great Gray is the leading independent provider of trustee and administrative services to Collective Investment Trusts (“CITs”), with over $315 billion in CIT assets under management, across more than 940 funds. We proudly work with more than 80 subadvisors, including leading firms such as AllianceBernstein, American Funds, BlackRock, Franklin Templeton, MetLife, Neuberger Berman, PGIM, PIMCO and Raymond James. CITs are more than just an investment vehicle. They represent a forward-thinking approach to retirement planning. These tax-exempt, pooled investment vehicles are offered to employer-sponsored retirement plans, like 401(k)s. CITs are comparable to mutual funds, but, because they are tailored for the institutional retirement market, they can offer distinct advantages, including efficient administration and cost-effectiveness. CITs have a history dating back over 90 years; but they have gained favor over the past decade, driven by innovations, and Great Gray has been at the forefront. Great Gray has consistently delivered year-over-year growth at an above market rate and is investing in the continued development of its core CIT business as well as complementary administrative services and technology solutions for the retirement market. Madison Dearborn Partners (“MDP”) purchased Great Gray from Wilmington Trust in April 2023. As a result, Great Gray is an independent company owned by funds affiliated with MDP. Investor Background MDP is a leading private equity investment firm based in Chicago. Since MDP's formation in 1992, the firm has raised aggregate capital of over $37 billion and has completed over 160 platform investments across nine flagship funds. MDP invests across five dedicated industry verticals, including financial services, healthcare, technology and government services. Equal Employment Opportunity PolicyGreat Gray Group, LLC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status or other non-merit factor. Accommodation StatementGreat Gray is committed to ensuring individuals with disabilities and/or those who have special needs participate in the workforce and are afforded equal opportunity to apply and compete for jobs. If you would like to contact us regarding the accessibility of our website, need assistance completing the application process, or need to request an accommodation for any part of our application or interview process, please contact us at:

Job Description Location: Waltham, MA (hybrid) ERGO NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you'll find ERGO NEXT. Since 2016, we've helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We're backed by industry leaders in insurance and tech, and we still have room to grow — that's where you come in. Our Backend Software Engineer can expect to work with the latest backend technologies and programming languages. We're big fans of server-side Kotlin, and we produce clean, testable code fast and push it into production several times a day via our CI / CD pipeline. What You'll Do: • You will work closely with other functional areas in the company—product, Marketing, and Front-end engineers—to rapidly iterate on our product and find the best solutions to our challenges., • At least 5 years of proven experience in Backend development. Java/Kotlin or similar languages (Python, .NET)., • A B.Sc. in Computer Science or equivalent is a must., • Excellent knowledge and understanding of OOP concepts and best practices, • Hands-on development of highly distributed, cloud-based environments - an advantage. We work with AWS, but any cloud experience is a plus., • Experience working with Relational Databases and good SQL skills., • Adaptable, with a passion for quickly learning new technologies and working effectively in a dynamic environment Don't meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. 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.

Job Description About Stackpoint Stackpoint is a venture studio that conceives, builds, launches, and scales AI-native companies in high-barrier verticals like real estate, construction, hospitality and financial services. Led by co-founders who have both built unicorn real estate tech companies from scratch, we're a tight team of engineers, product managers, designers, and operators with decades of experience building products, teams, and businesses from startup to scale. We focus all of our energy on discovering and solving customer and business problems, designing financially strong and defensible business models, activating growth engines, hiring world-class founding teams, and helping them thrive (and none of our energy on big-company b.s.). Our dedicated capital, experienced team, proven process, and deep strategic network supercharge founders and accelerate growth. We're based in Boston but have a distributed team, work remotely and come together every quarter for in-person team building. We're now evolving our engineering function from pod-embedded roles to a pooled, Studio-wide model — and we're looking for the person to lead it. The Role Context - How the Studio operates: We launch one new company per quarter. For each, we embed a pod — a dedicated PM, Designer, and (in the model we're moving toward) one or more Studio Engineers — for ~6 months alongside a founding CEO we recruit and back. The first three months focus on discovery: identifying the wedge product, assessing technical feasibility, and accumulating design partners. The second three months shift to building the wedge while hiring the company's founding technical team (Head of Engineering, sometimes 1-2 IC engineers or contractors) in parallel. Because launches are staggered quarterly, at any given time the Studio is hands-on in ~2 companies at different stages. Shared resources across Marketing, Sales, Finance, Ops, and Recruiting flex across companies during the first 6-12 months based on what's needed to hit key milestones. As Head of Engineering, you will own the technical direction of Stackpoint's Studio engineering function. This is not a role embedded inside a single portfolio company. You will operate across all active builds — making the highest-leverage architectural decisions, driving R&D, and building the systems and team that compound across everything we do. You'll build a small, high-caliber engineering team (3 IC engineers) with support from our in-house Head of Talent, and flex that team across companies and internal Studio product based on where demand is highest. You'll also oversee the hiring and technical evaluation of portfolio company Heads of Engineering and key contractors as companies graduate from Studio-led prototyping to company-owned execution. What You'll Do Technical Leadership Across the Portfolio Lead major architectural and feasibility decisions at the moments that matter most — wedge definition, MVP architecture, infrastructure choices, and build-vs-buy calls. You'll context-switch across multiple companies and domains, and your judgment will directly shape what gets built and how. R&D and Technical Frontier Keep Stackpoint on the cutting edge of AI-native development. Evaluate emerging tools, frameworks, and models. Run experiments. Make pragmatic adoption decisions that give our portfolio companies a technical edge from day one. Studio Tooling and Reusable Systems Build internal tools and frameworks that create compounding leverage across company builds — from shared infrastructure patterns to AI-powered internal capabilities that make the Studio operate faster and smarter. Team Leadership and Engineering Culture Build, lead, and develop the pooled engineering team. Set the bar for technical excellence, pragmatism, and speed. Create a working environment where strong engineers want to stay and grow. Hiring and Technical Evaluation Own the technical hiring process for portfolio company engineering leaders (Heads of Engineering, senior ICs). Evaluate candidates, design technical assessments, and ensure smooth transitions from Studio-led builds to company-owned teams. Cross-Functional Collaboration Partner closely with PMs, designers, and founding CEOs across pods. Translate technical constraints into business language. Contribute to feasibility assessments and help teams understand what's buildable, what's risky, and what's worth a bet. What We're Looking For Experience and Background • 10+ years of software engineering experience, with significant time in leadership roles (Staff+, Engineering Manager, VP Eng, CTO, or equivalent), • Multiple 0-to-1 builds — not just features at established companies, but products built from nothing to launch in startup or early-stage environments, • Experience leading and scaling small, high-performing engineering teams (3-10 people), • Track record of making high-quality architectural decisions across diverse domains and tech stacks, • Full-stack proficiency: strong across frontend (React, Vue, etc.) and backend (Python, Node.js, Go, etc.), • Cloud infrastructure: hands-on with AWS, GCP, or Azure — can stand up environments, make platform decisions, and operate without a dedicated DevOps team, • Database design: SQL and NoSQL, with sound judgment on data modeling and platform selection, • DevOps and CI/CD: Docker, GitHub Actions or equivalent, infrastructure-as-code (CDK, Terraform), • Context-switching is a feature, not a bug. You find variety energizing and ramp fast into new domains and codebases, • Speed and pragmatism define your output. You know the difference between "build to learn" and "build to scale" and make that call explicitly, • You're a strong cross-functional collaborator who translates technical complexity into clear language for non-engineers, • You lead by example — writing code, reviewing PRs, and staying close to the work while also thinking strategically about systems and people, • Breadth over depth: You'll touch more industries, domains, and technical challenges in a year than most engineering leaders see in five. Real estate, insurance, construction, finance — each portfolio company is a new problem space., • Leverage over headcount: You're not managing a 50-person org. You're leading a small, elite team where every person and every decision compounds across the entire portfolio., • Building the machine that builds the companies: Your tooling, systems, and R&D work don't just serve one product — they accelerate every future company Stackpoint creates., • Direct impact: You'll work directly with founders, the full Stackpoint Studio team, and portfolio company customers. No layers. No politics. Just building.Logistics, • Compensation: Competitive base, comprehensive health benefits + equity participation in every company we launch during your time here., • Location: Flexible within U.S. - we operate remotely, • Reports to: Matt Zisow (our Partner & Head of Platform)

Job Description Company Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. Rooted in academia, Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones. Ikigai Academy has already trained over 6000 students from 90+ countries on topics like “No Code AI” and “Time Series Forecasting”. Role Description: We are seeking a Data Scientist who thrives at the intersection of data transformation, analytics, and implementation. In this role, the Data Scientist will partner directly with clients to prepare, clean, and transform their data so it can seamlessly integrate with our aiCast platform. This Data Scientist will help customers unlock the value of their data—building pipelines, dashboards, and forecasts—and in many cases, own the end-to-end implementation from ingestion through delivery. This Data Scientist position is centered on data engineering, applied analytics, and client enablement. You’ll play a key role in helping customers get from raw data to actionable insights. Responsibilities: * Collaborate with client teams to understand their data sources, structures, and business requirements. * Design and implement data transformation pipelines to prepare data for aiCast ingestion. * Build reporting and dashboarding solutions to help clients interpret and act on their data. * Develop forecasting and analytics workflows to extend client use cases beyond data prep. * Support end-to-end solution delivery—covering extraction, transformation, validation, and deployment—when applicable. * Troubleshoot data quality issues and provide recommendations for improved structures or processes. * Partner with internal engineering and success teams to ensure smooth implementations and knowledge transfer. Qualifications: * At least 1-3 years of experience in a data role, preferably with enterprise clients * Associate’s or Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, or Applied Mathematics) preferred * Proficiency in Python, including libraries like NumPy and Pandas for data transformation. * Working knowledge of SQL for querying and joining datasets (intermediate level). * Experience building ETL/ELT pipelines or similar data processing workflows. * Familiarity with data visualization, reporting, or dashboarding tools. * Strong problem-solving skills with a focus on client outcomes and practical implementation. * Ability to work with incomplete or messy data and structure it for usability in production systems. * Excellent communication skills for translating technical work into business impact. Preferred Skills: * Knowledge of data transformation (e.g. using python Pandas library) database management, data integration, or data visualization is a plus * Experience with forecasting techniques or applied time-series analytics. * Background in client-facing or consulting roles where you owned implementation delivery. * Understanding of software engineering best practices (version control, testing, deployment). Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Powered by JazzHR sfmsCHcJWY

Job DescriptionAbout the Role Our client is seeking a Technical Lead / Principal Superconducting Systems Engineer to lead the design, development, and testing of low-loss, high-ampacity, high-temperature superconductor (HTS)-based power cables and their subsystems. In this role, you will take ownership of key HTS subsystem development efforts and play a critical part in advancing innovative power transmission solutions.You Are: • Experienced with HTS Systems: You bring a strong experimental and modeling background, with expertise in evaluating the performance of systems utilizing high-temperature superconductors. Experience with HTS tape is required., • An Excellent Communicator: You effectively articulate goals, progress, timelines, and risks to team members., • A Collaborative Team Member: You thrive in team environments and contribute to collective objectives while managing individual tasks effectively., • Adaptable and Driven: You excel in fast-paced settings, working independently and with a high degree of motivation., • Creative and Detail-Oriented: You approach challenges with innovative thinking and a meticulous eye for detail.Key Responsibilities:, • Provide engineering expertise for high-temperature superconducting cables in power transmission applications., • Lead the iterative design, construction, and testing of low-loss AC/DC power cables and associated testbeds., • Analyze experimental data, validate and refine designs, and strategize subsequent prototype iterations and testing campaigns., • Develop and utilize engineering analysis techniques, models, and simulations to enhance the performance, reliability, and cost-effectiveness of HTS-based power cables and related subsystems., • Oversee lab activities within the Superconducting Systems Team, ensuring high standards in testing and experimentation., • Mentor junior engineers, fostering a high-performance team culture and work processes., • Evaluate HTS material from vendors and establish methods for material characterization and quality acceptance., • Collaborate with multidisciplinary teams to integrate HTS cable designs with broader engineering efforts, including thermal and high-voltage systems., • Identify, evaluate, negotiate, and liaise with suppliers, academic collaborators, and consultants., • Document innovations and support the patent application process for key technological developments.Basic Qualifications:, • Bachelor’s degree in mechanical engineering, electrical engineering, or physics with 8+ years of experience working with high-temperature superconducting systems., • Proven expertise in testing HTS systems, including cables, magnets, and generators., • Hands-on experience in electrical characterization of high-current conductors and cables., • Skilled in integrating sensors and data collection systems with cryogenic testbeds., • Proficient in interpreting experimental results and correlating them with model predictions., • Experience with laboratory automation and data collection systems, such as LabView.Preferred Qualifications:, • Master’s or Ph.D. in mechanical engineering, electrical engineering, or applied physics with 12+ years of relevant experience., • Strong background in the analytical design and experimental testing of low-loss, high-ampacity AC/DC HTS power cables., • Demonstrated success in commercializing products utilizing high-temperature superconductors., • Proficiency in Python, COMSOL, and CAD tools (e.g., SolidWorks).Expected Outcomes:, • 3 Months: Gain a comprehensive understanding of the client’s technology, design specifications, constraints, and testing and modeling techniques for HTS-based power cables., • 6-12 Months: Take full ownership of experimental efforts to advance the development of HTS-based power transmission cables.BENEFITS & PERKS, • Healthcare coverage with 100% employer paid premiums for medical, dental, and vision, • 12 Company Holidays + Unlimited PTO, • 12 Weeks 100% Paid Parental Leave for all new parents, • Equity Options, • Employee Assistant Program (EAP), • Regular teambuilding, off-sites, and lunch & learns Additional Information Our client highly values having employees working in-office to foster a collaborative work environment and company culture. They consider working in the office five days a week to be an essential function of the employee's role. Equal Opportunity Our client is an Equal Employment Opportunity employer. We proudly recruit and hire a diverse workforce and are committed to creating an inclusive environment for all employees. About AdAstra This position is a direct hire, permanent placement for a client of AdAstra. AdAstra is building thriving teams within Hard-tech: Space, Climate, and Defense. Our commitment is to curate and close premier talent for our partners, achieved via specialized technical screening, personalized culture assessment, and high-touch candidate engagement. We are motivated to foster boundless team satisfaction and catalyze innovation for future generations, enabling inconceivable technology from Earth, to the stars. Connect with us on LinkedIn: Connect with us on Facebook:

Job DescriptionCompany Description We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch • Reinvent yourself: At Bosch, you will evolve., • Discover new directions: At Bosch, you will find your place., • Balance your life: At Bosch, your job matches your lifestyle., • Celebrate success: At Bosch, we celebrate you., • Be yourself: At Bosch, we value values., • Shape tomorrow: At Bosch, you change lives.Job Description, • Design, develop, and optimize cloud-native backend services using AWS services such as Lambda, DynamoDB, API Gateway, IoT Core, S3, IAM, and CloudWatch., • Build and maintain high-performance, secure, and scalable APIs to support mobile applications and downstream integrations., • Apply AWS Well-Architected Framework principles-with strong emphasis on security, reliability, performance, and cost efficiency-during application design and implementation., • Work hands-on with global engineering teams in Mexico, Germany and India to deliver mobile and cloud solutions deployed across the U.S. and Canada for next-generation HVAC systems., • Opportunity to have an end-to-end application ownership - To design and lead backend and cloud services that power mobile applications controlling physical HVAC equipment, directly connecting software with real-world systems., • Collaborate closely with front-end mobile teams (React Native) to ensure seamless integration, data consistency, and optimal end-to-end user experience., • Implement and evolve Infrastructure as Code (IaC) using tools such as AWS CloudFormation, Terraform, or SAM to support application environments., • Contribute to and improve CI/CD pipelines to enable automated testing, validation, and deployment of application code., • Monitor, troubleshoot, and optimize application-level performance, reliability, and operational health in production environments., • Partner with cloud and platform engineering teams to align on architecture standards and shared services, while maintaining ownership of application design and development., • Analyze existing codebases and architectures to recommend and implement performance, reliability, and maintainability improvements., • Actively participate in Agile ceremonies including sprint planning, stand-ups, demos, and retrospectives., • Produce and maintain technical documentation including data flow diagrams, sequence diagrams, and concepts of operation., • Stay current with emerging AWS services and cloud-native patterns, continuously improving application design and development practices Qualifications, • Bachelor’s degree in Computer Science, Computer Engineering, or a related field; Master’s degree preferred., • 4–5+ years of experience developing cloud-native applications, with a strong focus on backend or distributed systems., • 3+ years of hands-on AWS development experience, building production-grade applications., • Strong proficiency in Node.js, with working experience in Python and/or Java., • Solid experience designing and implementing RESTful APIs and event-driven architectures., • Hands-on experience with Infrastructure as Code (CloudFormation, Terraform, or SAM) in support of application delivery., • Familiarity with CI/CD pipelines and modern software delivery practices., • Understanding of mobile application release processes and backend support requirements., • Experience working in Agile ALM tools such as Jira, Confluence, or equivalent platforms (2+ years)., • Proficiency with Git-based version control systems (GitHub, GitLab, Bitbucket)., • AWS Certification (Developer, Solutions Architect, or DevOps Engineer) is a plus., • Have worked in Enterprise IoT solutions preferably AWS (Azure, GCP will be considered) Additional Information Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable. Additional Information The U.S. base salary range for this full-time position is between $120,000- 135,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success! #LZ-AZ1

Job Description Why Join Us? As a member of the Parabilis Medicines team, you will be a part of an organization dedicated to creating extraordinary medicines for diseases with urgent unmet needs, harnessing our proprietary peptide platform to transform treatment possibilities for patients. Parabilis is a clinical-stage biopharmaceutical company dedicated to unlocking high-impact protein targets long-considered undruggable. The company has developed a new class of stabilized, cell-penetrant alpha-helical peptides – Helicons™ – capable of modulating intracellular proteins that are inaccessible to traditional drug modalities. Headquartered in Cambridge, Mass., Parabilis is advancing a focused pipeline of multiple first-in-class therapies across both rare and common cancers. Its lead asset, zolucatetide (FOG-001), is a first-in-class, clinically validated direct inhibitor of the interaction between β-catenin and the T-cell factor (TCF) family of transcription factors, implicated in millions of cancer cases annually, including in colorectal cancer, desmoid tumors, hepatocellular carcinoma and a range of other Wnt/β-catenin-driven tumors. In Phase 1 clinical trials, zolucatetide produced the first-ever clinical evidence that it can directly inhibit this interaction, once previously considered "undruggable" despite its role across multiple cancer types. Parabilis is also advancing investigational degraders of ERG and ARON into clinical development for the treatment of prostate cancer, as well as progressing other preclinical programs. Backed by a recent $305 million Series F financing, Parabilis is entering an exciting phase of growth and execution. What's the opportunity? We are seeking a highly talented and self-motivated person to contribute to the development of the Computational Drug Discovery group, a strategic function in Data Science that is part of Parabilis's platform discovery engine for HeliconTM stapled-peptide drugs. The skill sets of the group includes state-of-the-art machine learning/generative AI, molecular modeling, cheminformatics and data science towards the discovery and development of HeliconTM stapled-peptide drugs. You'll be part of a data science team that is a central pillar of Parabilis's innovative discovery platform and pipelines targeting "undruggable" genes of major therapeutic interest to patients. Our data science team is an integrated team, ranging from computational biology, bioinformatics, computational drug discovery, research informatics and engineering. We work at the interface of chemistry, biology, clinical and computational sciences, and are responsible for all aspects of data science, from building the discovery pipeline to supporting and developing our discovery . Responsibilities • Provide computational expertise towards, but not limited to, ternary complex designs for degraders and other proximity-based modalities, hit-to-lead progression using multi-objective optimization, initiating new projects, new drug-target assessments and advancing drug-pipeline projects towards the clinic., • Identify, implement, and apply 3D modeling techniques for sampling HeliconTM peptide conformations in presence of a target, in ternary complex, and in different physiological environments., • Analyze and derive 3D peptide-structure relationships., • Exemplify scientific leadership by partnering across functions and working within a team of talented and passionate scientists to discover drugs., • Interface with internal and external partners. What you'll need to be successful: • PhD in Computational Chemistry, Protein Engineering, Chemistry, Physics, Macromolecular sciences or close-related field, • 5+ years of pharma/biotech industry experience in computational rational drug ., • Demonstrated experience with ternary complex design and understanding, peptide design or protein engineering and a good understanding of peptide structure-property relationships (e.g. helicity and amphiphilicity metrics, cell penetration)., • Demonstrated mastery of modern computational chemistry including, but not limited to, peptide folding and docking, use of co-folding foundation models, such as Boltz, structure-based design (receptor and ligand-based), scaffold hopping, docking and conformational analysis., • An understanding of modern drug discovery including, but not limited to, medicinal chemistry, multi-parametric optimization, molecular recognition principles, and the ability to adapt and translate these principles to stapled peptides., • Excellent communication and collaboration skills, with the ability to work well in a multidisciplinary environment, • Excellent organizational skills and attention to detail, with a strong passion for learning new concepts and technologies, • Expertise in one or more peptide modeling environments (e.g. ICM, Rosetta, Amber, GROMACS) and methods (enhanced sampling MD, Monte Carlo, MSM)., • Demonstrated understanding of critical assessment of molecule-property data and predictive model quality., • Demonstrated understanding of experiments behind the data that can be translated to computational analysis., • Experience with command line modeling applications., • Familiarity with cloud computing environments., • Strong scientific programming skills (Python) in a Linux environment., • Experience with enterprise research informatics systems such as Dotmatics and chemical and biological data warehouses is a plus., • Familiarity with concepts in machine learning., • Familiarity with cheminformatics techniques is a plus., • Familiarity with use of LLMs and IDEs, such as Cursor, to enhance workflows, productivity and innovation is a plus., • Demonstrated use of AI tools in your current role and responsibilities is required. Advanced or innovated use of AI is a strong plus. Core Values Parabilis is a team of passionate pioneers who are trailblazing the future of precision medicine with the aim of making a meaningful difference in the lives of patients. The company is committed to promoting an inspiring and flourishing working environment for all employees across the business, in all departments, and driving innovation for patient benefit. • Growth-Minded. We're inventing a new class of medicines—one applicable to therapeutic targets that have been dreamt about, but always considered impossible to drug. Our work requires us to be curious, humble and adaptable., • In(ter)dependent.We are fiercely independent as a leader in defying the limitations of current therapeutic modalities, and interdependent as a team as we work collaboratively to shift drug discovery paradigms and provide patients with better treatment options., • Patient-focused.We are deeply focused on patient outcomes, and all energy in the company is focused on science as it translates to patient impact. As an equal opportunity employer, Parabilis values an inclusive workplace and welcomes applicants of all backgrounds and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.

Job Description Plastik AI is harnessing the power of artificial intelligence to revolutionize the plastic and plastic compounding industries, bridging the gap between engineers using plastics and manufacturers creating them. At the core of our platform is Herman, an advanced AI agent designed to match product requirements with ideal plastic compounds. Herman leverages a combination of public and proprietary data to enable rapid and precise material recommendation, which can be easily ordered within a marketplace. We are looking for a skilled Full-stack Software Engineer to play a key role in building the front-end and back-end infrastructure for tools and interfaces that make Herman accessible to engineers and manufacturing companies. In this role, you will mainly drive and implement the design, development, test, and delivery of UI features that expose the portfolio’s rich capabilities for users while providing exceptional easy-to-use experiences. Our ideal candidate has more experience with front-end development but is capable of interfacing with the entire stack for rapid feature deployment. We see a combination of these skills as crucial for helping us meld our novel user experiences with AI Agents to enable easy plastic selection, sourcing, and logistics. This transformative approach unlocks new possibilities in plastics innovation, enabling faster, smarter, and more efficient product development and material discovery. As part of our cross-disciplinary team, you will work alongside MIT-trained engineers, scientists, and business professionals to build a groundbreaking AI platform for the plastics industry. Join us in transforming how the world approaches plastic materials through cutting-edge technology and innovation. Our stack: Javascript, React, React.js, Postgres, AWS, Kubernetes, Python, PyTorch Job Responsibilities Collaborate with software, the executive team, and developers to automate business-critical workflows. • Web Application Development – Owning and developing all aspects of the front-end web applications, infrastructure, and analytics. Implement UIs with clean, responsive, and accessible Javascript, Typescript, HTML, and CSS as needed to support the back-end team. Work with other engineers and designers to bring UI designs from concept to implementation through rapid prototyping and evaluation of design ideas., • Data & Analytics – Develop custom dashboards, automate reports, and provide insights for data-driven decision-making. Write automated tests for the continuous delivery pipeline and meet development quality objectives., • Software development and integration - Integrating our application with various third-party applications, systems, and APIs to ensure seamless data flow and process automation., • Project management and leadership - Collaborating with cross-functional teams, including business analysts, project managers, and quality assurance, to gather requirements, provide technical insights, and ensure successful project delivery., • Troubleshooting and support - Identifying, diagnosing, and resolving technical issues and bugs within our applications to ensure a smooth user experience. Creating and maintaining technical documentation for our custom modules, and integrations for future reference and knowledge sharing., • Bachelor’s or Master’s degree in Design, Computer Science, or related fields, or equivalent professional experience., • 5+ years of experience as a Front-end developer with experience building out back-end services., • Expertise in web application development – customization, module development, and system administration., • Strong programming skills in JavaScript, Python, and PostgreSQL., • Experience building APIs, databases, and front-end development., • Experience with server-side web application development. Full-stack development experience preferred., • Familiarity with IT security, cloud hosting, CI/CD, and DevOps best practices., • Competitive salary and equity options., • Health insurance and other benefits., • A collaborative and innovative work environment with opportunities for professional growth., • The chance to work on transformative technologies in the plastics and AI space.

Job DescriptionCompany Profile Founded in 1977, GMO is a global investment manager committed to delivering superior long-term investment performance and advice to our clients. We offer investment strategies and solutions where we believe we are positioned to add the greatest value for our investors. These include multi-asset class, equity, fixed income and alternative offerings. We manage approximately $78bn for a client base that includes many of the world’s most sophisticated institutions, financial intermediaries, and private clients. Industry-wide, we are well known for our focus on valuation-based investing, willingness to take bold positions when conditions warrant, and candid and academically rigorous thought leadership. Jeremy Grantham, GMO’s Co-Founder and Long-Term Investment Strategist, is renowned as an expert in identifying speculative investment bubbles and also as a leading climate investor and advocate. GMO is privately owned and employs over 430 people worldwide. We are headquartered in Boston, with additional offices in Europe, Asia and Australia. Our company-wide culture emphasizes commitment to clients, intellectual curiosity, and open debate. We celebrate and respect our differences, while embracing and valuing what each of us brings to work, as we know that diverse teams in an inclusive, caring environment achieve higher engagement and better client results. Please follow the prompts included in this job posting to apply. The application window for this role is anticipated to remain open until the job is filled, or as otherwise determined by GMO. Position Overview: GMO’s Emerging Debt Team is a focused team that manages $9.5 billion in dedicated EMD AUM for a variety of clients (pension funds, endowments, sub advisory, etc). It has a first-decile, 30-plus-year track record in managing hard currency strategies (EMBIG-D benchmark), and a first-decile 17-year track record in managing local currency strategy (GBI-EMGD benchmark). It also manages a select set of bespoke mandates. The team is currently seeking an experienced sovereign credit analyst to join its 7-member group of portfolio managers and analysts. The sovereign credit team covers roughly 80 countries that span investment-grade, sub-investment grade, and defaulted countries. We are looking for a strong team player with a demonstrated passion for emerging markets economic and political analysis. It is imperative that the successful candidate have the initiative and ability to work independently, while collaborating with teammates within a small, collegial setting. This position is based in Boston. Key Responsibilities: The candidate will be expected to contribute to the team’s best-in-class alpha strategies by:· Working with the sovereign team to price relative country risk across the investment universe, using the team’s models and processes.· Providing input into improvements and enhancements to the sovereign credit models.· Contributing to default recovery analysis for countries in distress.· Sourcing and maintaining data necessary for the above.· Meeting with policymakers of countries in the investment universe, both virtually and in-person.· Working with corporate/quasi-sovereign analysts when necessary to provide a joint assessment of the likelihood of support. · Assisting in analysis of emerging market currencies and local interest rate markets.· Responding to client requests for information and analysis on economic and financial developments. Requirements and Desired Skills and Characteristics: • Education: Undergraduate degree holders with a strong academic background will be considered. An advanced degree in economics, quantitative methods, or a related field would be preferable., • Experience: A minimum of ten years of relevant economic research focused on emerging and developing economies is required. Work in the specific area of sovereign credit analysis would be desirable, as would knowledge of exchange rate and local interest rate modeling in emerging markets., • Communication Skills: Ability to understand and work with a culturally diverse population of issuers is critical. The ability to communicate concisely in writing is critical., • Professional Skills: Ability to take initiative and successfully follow through on tasks; accept compromise and deliver results to meet deadlines; manage multiple projects and set priorities. The ideal candidate will also show a desire for achievement and commitment to the investment process and to growing their expertise in the field., • Data Analysis: Advanced capability in MS Excel required. Python would be an added plus, as would relevant work with statistical packages such as Stata., • Language Skills: Proficiency in a foreign language is desirable but not required. This is a reasonable, good faith estimate of the current salary range for this role. GMO’s salary range accounts for a wide array of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs. In addition, this position is eligible for a discretionary annual bonus award, which award may be determined by individual, team, department and firm performance, and is subject to the terms of GMO’s compensation plan. This position is also benefits eligible. GMO’s comprehensive benefits program includes medical insurance, dental insurance, life insurance, long-term disability coverage, a 401(k)/profit-sharing retirement plan, open paid time off, leaves of absences, dependent care resources, tuition reimbursement, charitable gifts matching, flexible spending accounts, and commuter benefits.GMO is committed to the recruitment, employment, and promotion of all candidates equally, regardless of an individual's gender, race, color, national origin, ancestry, age, religion, pregnancy, marital status, sexual orientation, gender identity or expression, military or veteran status, genetic information, physical or mental disability (except where such disability is a bona fide occupational disqualification) or any other classification protected under federal, state or local law.

Job Description About Us: Transmit Security is a leader in identity and fraud prevention, empowering organizations to stop fraud while delivering seamless user experiences. Our Mosaic platform combines advanced fraud detection, machine learning-driven risk assessment, and real-time decision-making across customer journeys. As we continue to grow, we're seeking a dedicated and customer-focused Tier 3 Support Engineer to join our team and provide high-impact technical support. We're seeking a dedicated and customer-focused Senior Tier 3 Support Engineer to provide excellent customer service, lead processes and work on a mission critical product. About the Role: As a Tier 3 Support Engineer at Transmit Security, you will serve as a critical escalation point within the Customer Support organization, handling the most complex and technically challenging issues related to our identity security, fraud prevention, and CIAM platform. You'll work directly with enterprise customers, engineering teams, and product management to ensure timely resolution of incidents while delivering a white-glove support experience. This role requires deep technical expertise, excellent problem-solving skills, and a proactive mindset. You'll be expected to perform in-depth root cause analyses, manage critical incidents, and contribute to product improvements by identifying recurring issues and suggesting enhancements. What you'll do: • Provide advanced technical support within the desired SLA while ensuring that customer satisfaction goals are achieved, • Take ownership of customer issues and follow problems through to resolution, • Manage escalations, • Evaluate root cause analysis to eliminate recurring customer issues, • Handle complex customer issues through the Support portal independently and in a professional way, • Troubleshoot Transmit Security Platform issues reported by Transmit Customers, including Functionality and usability related complex issues, • Interact effectively with a wide variety of customers with different requirements and backgrounds, including the Customer's development teams to understand the nature of the issue, communicate steps to resolve, and provide consultation on best practices, • Replicate customer issues in the support test environment, • At least 6 years of technical Support engineering experience, • Experience working in mission critical environments, • Experience in working with multi-tier and complex applications, • Hands on experience with Linux operating system, • Strong analytical and troubleshooting skills is a must, • Service-oriented personality with a can-do attitude is a must, • A team player with the ability to work independently is a must, • Excellent interpersonal and communication skills both written and verbal English, • BS/BA in Information Technology, Computer Science, or a related discipline; professional certification is an advantage, • Familiar with one of the programing language such as Java, Scala, Python, bash scripting is nice to have, • Experience with database management is an advantage, • Practical knowledge of REST API, • Familiar with SaaS and Cloud environments like GCP, Azure, AWS, • Familiar with web-based products - different OS browsers (Cookies, local storage, incognito), • Knowledge on authentication technologies such as FIDO-based biometrics, authentication, Federation SSO protocols such as OIDC, OAuth, SAML, etc., • Public Key Infrastructure (PKI), X.509 certificates, SSL/TLS, • Impactful Role: Play a key role in delivering a market-leading solution to our customers, ensuring fraud protection and frictionless user experiences., • Growth Opportunities: Be part of a fast-growing company with plenty of opportunities for professional development and career advancement., • Flexible Work Environment: Remote work options available for North American candidates. Transmit Security is committed to fostering, cultivating and preserving a culture of Diversity and Inclusion. Our human capital is the most valuable asset we have. The collective sum of the individual differences, life experiences, knowledge, inventiveness, innovation, self-expression, unique capabilities and talent that our employees invest in their work represents a significant part of not only our Culture, but our Reputation and Achievements as well. We encourage diversity and embrace our employees' differences in age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical ability, political affiliation, race, religion, sexual orientation, socioeconomic status, veteran status, and other characteristics that make our employees unique. #LI-TL1 #LI-Hybrid

Job Description Mission Summary: We are looking for a highly motivated intern to join our Behaviors team and conduct research on Machine Learning for prediction and planning. Here, you will work with the team behind nuScenes, nuPlan, PBP Trajectory Prediction and DriveIRL to deliver ML technologies aligned with the core values of Motional, ensuring the highest standards of quality, scientific rigor and innovation. What you'll be doing: • Conduct research on driving behavior related topics, such as motion prediction and planning, agent simulation, scenario generation, Vision-Language-Action model(VLA), etc., • Work with large-scale internal realworld driving datasets to demonstrate the effectiveness of your research, • Collaborate with different teams to deploy your research results into the autonomous vehicles and test it onroad., • Enrolled in a PhD program in Computer Science, Electrical Engineering, Robotics or similar technical field of study, • Strong Machine Learning research background with publications in any of the top-tier conferences(RSS, ICRA, CoRL, CVPR, ICRL, ICML, NeurIPS, etc.), • Proficiency in Python coding and PyTorch or other commonly-used deep learning frameworks, • One-team mindset and effective collaboration with other researchers and engineers, • Strong communication and interpersonal skills, • Previous experience in autonomous driving is preferred Note: This will be a hybrid onsite internship position in Boston or Pittsburgh. We will accept resumes on a rolling basis until the role is filled. Compensation will be based on location and degree level. 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 Data Warehouse QA Tester Quincy, MA(Hybrid) Long term contract 37.5 hours per week Summary Client seeks a highly motivated individual as a Quality Assurance Tester to join its Data Warehouse Systems Quality Assurance (SQA) team. The Quality Assurance Tester will be responsible for working on complex projects within the Healthcare Domain and applying knowledge of software testing and analysis concepts, practices, and procedures. Requires experience in all phases of software development life cycle and testing methodologies. Experience should include testing of functional/non-functional scenarios in support of integrated multi-platform systems. The individual should work in compliance with HIPAA requirements. Detailed List of Duties and Responsibilities: • Create test models for release testing (plans, data, and scripts) including the identification, collection and/or Creation of test data., • Lead coordination and execution of release testing as appropriate., • Determine and meet time estimates and schedules for testing efforts., • Define Release Test Plans and criteria for user acceptance including entry/exit criteria., • Develop, update, and maintain quality testing standards and procedures., • Communicate effectively with customers and software vendors as appropriate., • Assist in the planning, creation, and control of the test environment(s)., • Follow standard testing methodology frameworks, and testing processes as a standard., • Coordinate testing specific release activities., • Determine and meet time estimates and schedules for testing efforts., • Create test models for release testing (plans, data, and scripts), and participate in structured walkthrough and Peer reviews., • Participate in the coordination and execution of release testing., • Participate in Lessons Learned as appropriate., • Identify defects and questionable functionality; manage defects through closure., • Resolve issues with unclear requirements and achieve a successful result., • Triage and solve complex problems using structured troubleshooting methodologies., • Work independently as well as work collaboratively in a team environment., • Ability to design and develop scalable and reliable automation test scripts., • Identify areas of optimization and improvement in the testing process., • Document test automation framework design., • Hands on experience of end-to-end integration testing, Ability to Come up with the End-to-end test scenarios and test cases., • Understanding of companion and implementation guides of Health care EDI format., • Strong experience in Test Automation and EDI, HIPAA, PHI and NCPDP Testing., • Should have good experience in Claims, Eligibility, Membership, Enrollment process, diagnosis, and procedure codes., • Database knowledge to run DDL, DML, and other SQL commands., • Ability to review scenarios with Business and get sign off on Testing scenarios/strategies., • Experience with participating in daily Scrum, Sprint Planning and Status reports., • Must have Tools: Selenium, Client Load Runner, TOAD for Oracle 12.6, Python, Oracle SQL Developer 18.2, PL/SQL, NIX, AW, FileZilla, MS Visio, WinSCP, Java, MS Office, Atlassian JIRA, Putty, COGNOS., • Prior experience working in healthcare or government setting with a strong knowledge base in healthcare insurance principles, eligibility, and Medicaid Management Information System (MMIS)., • Ability to independently query transactional and Data Warehouse databases., • Experience with data quality and remediation, data flows and mapping, or comparable experience (system or Data conversions, for example)., • Test automation framework development using Selenium, Junit/TestNG, REST Assured tools., • Programming language, preferably JAVA and good understanding of object-oriented design techniques., • Proficient using XPath and CSS Selectors. Able to derive customized Xpaths., • Experience in Jenkins, Maven, SVN, Git, and XL Deploy., • Experience using Version controller tools like SVN / GIT., • Experience in test management, Build and CI/CD tools like ALM, Maven, Jenkins, and XL Deploy as preferred., • Must possess excellent verbal and written communication skills., • Familiarity of testing types: black-box, white-box, functional, smoke, and regression., • Strong analytical, troubleshooting, and problem-solving skills., • Bachelor of Science in Computer Science, related degree, or equivalent work experience., • Knowledge of QA Methodologies and the software development lifecycle., • 5 years of experience blackbox, white-box, functional, smoke, and regression testing., • Years of experience designing and maintaining test automation frameworks for web based applications., • 3 years of experience designing and maintaining web service automation test suites and frameworks., • Strong analytical, troubleshooting, and problem solving skills., • Strong verbal, written and presentation skills., • Proficiency in MS Office, i.e., Word, Excel, PowerPoint, Access, and Visio., • Government and or Healthcare prior experience desired., • #TB_EN #ZR Why TalentBurst? At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth. Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships. We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options. TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce. Company DescriptionFounded in 2002 by three former Monster.com executives; TalentBurst is an award-winning full-service Staffing Firm working directly with Fortune 500 companies in the US and Canada. We specialize in Contract and Contract to Permanent roles across many industries and have direct/contractual relationships with all our clients. Please visit our website or come meet us at our offices in Natick, MA, Miami, FL, Christiansburg, VA, Vineland, NJ, Houston, TX & downtown San Francisco, CAFounded in 2002 by three former Monster.com executives; TalentBurst is an award-winning full-service Staffing Firm working directly with Fortune 500 companies in the US and Canada. We specialize in Contract and Contract to Permanent roles across many industries and have direct/contractual relationships with all our clients. Please visit our website or come meet us at our offices in Natick, MA, Miami, FL, Christiansburg, VA, Vineland, NJ, Houston, TX & downtown San Francisco, CA

Job Description This is a remote opportunity. Strong preference to candidates that can work in Eastern timezone. We are not able to consider candidates internationally located at this time. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team. About the Role: We are looking for a detail-oriented and creative thinker to join our team as a Senior QA Engineer. The successful candidate will be responsible for ensuring the quality of our software products through the design, development, and execution of manual and automated test cases. This individual will collaborate with other members of the development team to identify and resolve issues before they are released into production. The ideal candidate is meticulous, comfortable working in an agile environment, a team player, strong communicator, and is ready to hit the ground running at a fast-growing AI startup. How you will make an impact: • Work collaboratively with cross-functional teams to identify business and functional test scenarios., • Develop, maintain, and execute test plans and test cases to ensure that all software features and functionality are thoroughly tested., • Document test cases of new features or existing functionality where applicable., • Develop and execute automated front-end testing scripts using industry-standard tools and technologies., • Maintain and update automated test cases to ensure that they meet functional and non-functional requirements., • Prepare and modify test data where needed., • Identify, troubleshoot, record, and document software defects., • Provide timely and detailed feedback to developers, stakeholders and project managers on software quality issues, test results and product performance. Communicate issues and risks to project teams and stakeholders., • 7+ years of professional experience within software engineering and quality assurance of products., • Professional experience within data testing., • Strong verbal and written communication skills, including the ability to write clear and concise bug reports and test cases., • Experience writing manual test cases., • Experience with automated front-end testing using tools such as Selenium, Cypress, or automation frameworks such as WebDriver IO or Protractor., • Professional experience within data testing., • Strong knowledge of web development technologies such as JavaScript and React., • Solid understanding of software testing principles and methodologies, including functional testing, integration testing and regression testing., • Ability to work independently to solve complex problems and coach others on testing best practices., • Excellent problem-solving, analytical and debugging skills., • Experience with Python., • Experience with Zephyr., • A fun, team-oriented startup culture., • Generous stock options - we all get to own a piece of what we're building., • Unlimited vacation days., • Flexible schedule that supports working from home., • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more. Salary Range: $130,000-150,000 base salary annually. This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.

Job Description Title: Analyst, ETL Development Reports to: Director of Health Data Integration Classification: Individual Contributor Location: Boston (Hybrid) Job description revision number and date: V 1.0; 11.18.2025 Organization Summary: Community Care Cooperative (C3) is a 501(c)(3) non-profit, Accountable Care Organization (ACO) governed by Federally Qualified Health Centers (FQHCs). Our mission is to leverage the collective strengths of FQHCs to improve the health and wellness of the people we serve. We are a fast-growing organization founded in 2016 with 9 health centers and now serving hundreds of thousands of beneficiaries who receive primary care at health centers and independent practices nationally. We are an innovative organization developing new partnerships and programs to improve the health of members and communities, and to strengthen our health center partners. Job Summary: The ETL Developer/ Data Analyst is a key member of the Technology team working closely with the Director of Health Data Integration, Director of Technology, Director of Analytics, and other members of the C3 team. The Analyst works collaboratively with all internal departments and with the Company’s FQHC partners to support the vision, mission, and strategy of the organization. The ETL Developer/Analyst will design, develop, and support data pipelines and analytics solutions that ensure accurate, timely, and compliant data integration across clinical, operational, and payer systems. The Analyst should have a strong healthcare data background, particularly in HIPAA 834 enrollment files, claims/encounter data, and Federally Qualified Health Centers (FQHCs). The Analyst must also have a customer-service mentality, recognizing the importance of both internal and external customers. Responsibilities: ETL Development & Data Integration: • Design, build, and maintain ETL workflows to ingest, transform, validate, and load healthcare data from multiple sources, • Develop robust pipelines for processing 834 enrollment files, ensuring accurate member eligibility and plan data, • Integrate and process data relevant to FQHC reporting, and population health analytics, • Maintain and optimize ETL processes within enterprise data warehouses, data lakes, and reporting environments Data Analysis & Quality Assurance: • Analyze enrollment, eligibility, encounter, and claims data to identify discrepancies, trends, and quality issues, • Perform data validation, reconciliation, and root-cause analysis for data integration problems, • Create data mapping documents, data dictionaries, and technical specifications Collaboration & Stakeholder Support: • Work with clinical, operational, billing, and IT teams to understand data needs and support reporting initiatives, • Collaborate with payer partners, clearinghouses, and vendors on data transmission, troubleshooting, and compliance, • Support FQHC reporting requirements, including UDS data submissions and payer quality measure programs Operational Support: • Monitor scheduled ETL jobs and resolve runtime issues or failures, • Provide production support, documentation, and version control for all ETL processes, • Ensure compliance with HIPAA, data governance, and organizational security policies Required Skills: • 3–5+ years of experience in ETL development, data engineering, or data analytics, • Hands-on experience processing 834 enrollment files (parsing, transforming, validating), • Strong understanding of FQHC data needs, including UDS reporting, encounters, quality measures, and patient demographic workflows, • Proficiency in SQL (e.g., T-SQL, PL/SQL, PostgreSQL), • Experience with ETL tools such as SSIS, Informatica, Talend, Matillion, or similar, • Familiarity with healthcare data formats including 837, 835, CCD/C-CDA, or HL7 (nice to have), • Experience with data warehousing concepts, dimensional modeling, and relational database design, • Strong analytical, troubleshooting, and problem-solving skills, • Ability to create clear documentation and communicate technical concepts to non-technical stakeholders, • Working knowledge of HIPAA, PHI handling, and healthcare data compliance standards, • Must be able to remain in a stationary position 50-75% of the time Desired Other Skills: • Familiarity with MassHealth ACO Program, • Experience in FQHC environments, community health centers, or value-based care organizations., • Familiarity with EHR systems common to FQHCs (eClinicalWorks, NextGen, OCHIN Epic, etc.), • Exposure to modern data stack tools (dbt, Snowflake, Azure Data Factory, AWS Glue, Databricks, etc.), • Experience automating workflows using Python, PowerShell, or other scripting languages., • Knowledge of payer data requirements and enrollment/eligibility reconciliation processes., • Experience with anti-racism activities, and/or lived experience with racism, is highly preferred Qualifications: • Bachelor’s degree required In compliance with Infection Control practices per Mass.gov recommendations, we require all employees to be vaccinated consistent with applicable law.

Job Description Capgemini is a leading technology consulting company specializing in insurance product innovation, technology modernization and operational transformation. We partner with top-tier U.S. insurers to enhance personal lines product portfolios, drive growth, and modernize operations. We are seeking a Senior Property & Casualty Insurance Product Manager – Personal Lines with expertise in product rationalization, new product development, product run-offs, regulatory strategy, InsurTech enablement, and claims transformation. This role requires deep industry knowledge and strategic consulting skills to advise insurers on optimizing personal lines products, navigating compliance requirements, and implementing emerging technologies. Key responsibilities include leading product portfolio optimization, rate filings, and competitive market assessments. The candidate will also drive digital transformation initiatives, evaluating InsurTech solutions such as telematics-based pricing, AI-driven claims automation, and predictive analytics for risk segmentation. Additionally, they will support regulatory advisory projects, ensuring compliance with state DOI regulations, NAIC model laws, and evolving legislative changes. The ideal candidate will have 10+ years of P&C insurance product management or consulting experience, strong expertise in personal lines pricing, underwriting, and compliance, and familiarity with technology platforms like Guidewire, Duck Creek, and Majesco. Preferred qualifications include CPCU, AINS, ARM, Lean Six Sigma, or PMP certifications. This is an exciting opportunity to work with leading insurers on high-impact projects, leveraging data-driven strategies and InsurTech solutions to reshape the future of personal lines insurance. Join us and contribute to strategic innovation, regulatory excellence, and digital transformation in the insurance industry. Key Responsibilities: The key responsibilities of this role will include supporting Client and Internal Project Teams with a mix of the following capabilities: Strategic Consulting & Client Advisory • Act as a trusted advisor to top-tier insurers on personal lines insurance products, including homeowners, auto, renters, and umbrella., • Lead product rationalization efforts, optimizing insurers’ portfolios to reduce complexity, enhance profitability, and improve customer experience., • Drive new product development, leveraging telematics, usage-based insurance (UBI), embedded insurance, and AI-driven pricing models., • Develop and implement product run-off strategies, ensuring compliance, financial stability, and seamless transition for policyholders., • Guide insurers through regulatory advisory initiatives, ensuring product strategies align with state DOI regulations, NAIC model laws, and evolving consumer protection standards. Regulatory Compliance & Market Strategy • Advise on state and federal regulations, helping clients navigate rate filings, compliance risks, and policyholder protections., • Manage engagements related to state DOI rate filings, competitive benchmarking, and regulatory impact assessments., • Provide insights on emerging legislative changes (e.g., climate risk mandates, AI-driven underwriting guidelines, and telematics regulations). InsurTech Enablement & Digital Transformation • Partner with technology teams to implement digital underwriting, AI-based risk models, and automation tools., • Evaluate and recommend InsurTech solutions such as:, • Telematics-based pricing (e.g., Cambridge Mobile Telematics, Arity), • AI-driven claims processing (e.g., CCC Intelligent Solutions, Snapsheet), • Fraud detection & predictive analytics (e.g., Shift Technology, FRISS), • Customer experience & digital distribution (e.g., Cover Genius, Trov), • Support insurers in modernizing core platforms, working with vendors like Guidewire, Duck Creek, and Majesco. Claims Transformation & Risk Management • Assist clients in claims process optimization, leveraging automation, AI, and predictive analytics for faster claims adjudication., • Develop strategies for fraud detection, litigation management, and claims efficiency improvements., • Work with claims and risk teams to align product design with evolving risk trends (e.g., climate change impact, cyber risks in personal lines, and increased litigation costs). Project Leadership & Stakeholder Engagement • Lead cross-functional consulting engagements involving actuarial, underwriting, IT, claims, and distribution teams., • Develop and present strategic recommendations to C-suite executives, supporting data-driven decision-making., • Manage multiple client engagements, ensuring timely delivery, regulatory alignment, and measurable business impact. Requirements • Education: Bachelor’s degree in Business, Finance, Insurance, or a related field (MBA, CPCU, or AINS preferred)., • Experience: 5+ years in P&C insurance product management, consulting, or strategy roles, with a strong focus on personal lines., • Industry Certifications (Preferred):, • CPCU (Chartered Property Casualty Underwriter) – Deep expertise in P&C insurance., • AINS (Associate in General Insurance) – Strong foundational knowledge of insurance operations., • ARM (Associate in Risk Management) – Specialization in risk assessment and mitigation., • Lean Six Sigma or PMP – For project management and operational efficiency., • Technical Expertise:, • Deep knowledge of personal lines product development, pricing, underwriting, and risk management., • Experience with product rationalization, run-off strategies, and market repositioning., • Strong understanding of state insurance regulations, rate filings, and DOI compliance., • Familiarity with InsurTech solutions, AI-driven pricing models, and claims automation technologies., • Proficiency in data analytics tools (e.g., SQL, Python, Tableau, Power BI) for actuarial and risk modeling., • Consulting & Leadership Skills:, • Proven ability to develop strategic recommendations and present to C-suite executives., • Strong project management skills with experience leading cross-functional teams in product transformation., • Excellent problem-solving, analytical, and communication abilities., • Expertise in Agile methodologies for product development and market deployment., • Use of Lean Six Sigma frameworks for process optimization and operational efficiency. This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally renowned group, • Private Health Insurance, • Retirement Plans, • Paid Time Off, • Training & Development About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55+ year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported €22.5 billion in revenues in 2023.

Job DescriptionAbout Skyhook Bio:Launched by RA Capital, Skyhook is an early-stage biotechnology company building a modular, next-gen platform to unlock previously unavailable biomolecule design spaces to transform the discovery and development of differentiated therapeutic, diagnostic, and industrial products. Our team is an innovative group of domain experts in AI/ML computational modeling, advanced synthetic biology, microfluidics, protein engineering, and single-cell profiling who are deeply passionate about the power of the platform to invent the future today. World-class scientific founders from the Broad Institute, cutting-edge technology, and backing from RA Capital come together in a dynamic start-up environment. About the Role: We are seeking a collaborative and motivated Machine Learning Scientist II or Senior Scientist with a passion for working at the intersection of human and synthetic biology. In this role, you will develop deep-learning methods and models to design functional proteins and analyze large proprietary data sets from high-throughput functional assays. As part of a growing multidisciplinary team, you will have the opportunity to take part in innovative research and development in a dynamic startup environment. Key Responsibilities: * Develop and advance deep-learning methods to design and optimize proteins * Train and evaluate machine learning models using proprietary high-throughput assay data and public protein sequence, structure, and function datasets * Design and deploy active learning strategies to accelerate protein design cycles * Analyze large-scale experimental datasets to extract insights and inform protein engineering strategy * Collaborate closely with experimental and computational scientists to integrate laboratory and in silico workflows, including NGS-based analyses * Communicate computational strategies, results, and recommendations to multidisciplinary teams and leadership Education & Experience: * PhD in Computer Science, Machine Learning, Computational Biology, Biophysics, Bioinformatics, Statistics, or related field with a minimum of 2+ years industry experience in pharma or biotech R&D required. * Titling will be commensurate with experience Required Qualifications: * Strong foundation in machine learning, including model development, training, evaluation, and application to large-scale biological datasets * Experience with exploratory data analysis, statistical analysis, and data visualization to interpret experimental results and guide modeling decisions * Proficiency in modern ML frameworks such as PyTorch or TensorFlow, and writing efficient, well-structured, and maintainable code (Python required) * Experience working with cloud-based ML workflows and data pipelines (AWS preferred) * Strong analytical and problem-solving skills; comfortable working in a dynamic, collaborative startup environment * Clear written and verbal communication skills, with the ability to explain technical concepts to diverse audiences Preferred Qualifications: * Experience with protein-focused ML models and tools (e.g., ESM, AlphaFold, or related frameworks) * Experience designing or improving ML infrastructure and data pipelines, including cloud-based training, inference, data versioning, automation, and deployment * Experience with NGS data analysis pipelines and integrating experimental data with computational workflows We kindly ask that recruiting agencies and third-party recruiters do not contact us regarding this position. We are not seeking assistance or accepting unsolicited resumes from agencies at this time. About Raven: Raven is RA Capital’s healthcare incubator. From discovery to delivery, whether Raven incubates, accelerates or rejuvenates, Raven’s goal is to turn scientific breakthroughs into transformative therapies and get them quickly, safely and efficiently to the patients that need them most. Raven’s experienced scientists, operators, and healthcare innovators have deep sector expertise across therapeutics, diagnostics, devices and services. They have brought hundreds of therapeutics into development, managed hospital systems, optimized clinical trials and navigated payor and regulatory systems to deliver patient impact - and they are ready to work with you. About RA Capital: Founded in 2004, RA Capital Management is a multi-stage investment manager dedicated to evidence-based investing in public and private healthcare, life sciences, and planetary health companies. RA Capital creates and funds innovative companies, from private seed rounds to public follow-on financings, allowing management teams to drive value creation from inception through commercialization and beyond. RA Capital's knowledge engine is guided by our Tech Atlas internal research division, and Raven, RA Capital’s company building team, offers entrepreneurs and innovators a collaborative and comprehensive platform to explore the novel and the re-imagined. RA Capital has more than 150 employees and over $10 billion in assets under management. 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 Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Job DescriptionThe Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system.In this role, you will: • Develop multimodal large language models that enhance our robotaxis' understanding of complex urban environments, • Implement model architectures and sophisticated training techniques, • Build large high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox., • Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities., • Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline., • Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous systemQualifications, • MS or PhD in Computer Science, Machine Learning, or related technical field, • Demonstrated experience training and deploying large language models (LLMs), • Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation, • Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects, • Experience training models with large scale dataBonus Qualifications, • Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)

Job Description Job Summary Nanobiosym is an innovative, high-tech company that is developing novel technologies at the nexus of physics, nanotechnology, and biomedicine. Founded by MIT/Harvard alum and located in Cambridge, Massachusetts, Nanobiosym was awarded the first X-Prize to be given for healthcare. This hyper growth company allows for unique career opportunities with strong long-term incentives. We are seeking a highly skilled Network Engineer & Systems Architect to design, implement, and manage our company's network and IT infrastructure. This role is crucial for ensuring our systems are robust, secure, and capable of supporting our business operations. The ideal candidate will have a strong background in network engineering and systems architecture, with experience in virtualization and secure network configurations. Job Responsibilities • Develop and implement network architectures that meet the company's needs, ensuring optimal performance, scalability, and security., • Oversee the setup and maintenance of the company's IT infrastructure, including servers, workstations, and network devices., • Set up and manage virtual environments to support various business functions effectively., • Configure and manage firewalls, VPNs, and other security measures to safeguard our systems., • Diagnose and resolve network issues, providing technical support to staff as needed., • Create and maintain detailed documentation for network configurations, system architectures, and standard operating procedures., • Work closely with other IT team members and departments to understand requirements and implement solutions that enhance productivity., • Monitor network performance and conduct regular assessments to identify potential improvements., • Liaise with vendors and service providers to procure hardware and software solutions that align with the company's infrastructure needs., • Bachelor's or Master's degree in Computer Science, Information Technology, Network Engineering, or a related field., • Minimum of 5-7 years of experience in network engineering, systems architecture, or a related role., • Strong knowledge of firewall technologies and network security best practices., • Experience with virtualization technologies and secure network configurations., • Proficient in managing server operating systems (Windows Server, Linux)., • Proficiency in containerization technologies such as Docker, with experience in orchestrating containers using Kubernetes for application deployment and management., • Familiarity with designing and implementing air gap networks or similar isolated network architectures to enhance security in sensitive environments., • Proficient in networking protocols (TCP/IP, DNS, DHCP, etc.)., • Knowledge of networking hardware such as routers, switches, and access points., • Familiarity with performance monitoring tools to assess network performance., • Knowledge of disaster recovery planning and backup solutions., • Strong analytical and troubleshooting skills with the ability to think critically and make sound decisions., • Understanding of cloud services and architectures (AWS, Azure, etc.)., • Basic understanding of scripting languages (e.g., PowerShell, Python) for automation., • Relevant certifications such as Cisco Certified Network Professional (CCNP), Certified Information Systems Security Professional (CISSP), or AWS Certified Solutions Architect., • Familiarity with security frameworks and compliance standards (e.g., NIST, ISO 27001) relevant to network security. Job Posted by ApplicantPro

Job Description Apiphani is a technology-enabled managed services company dedicated to redefining what it means to support mission-critical enterprise workloads. We're a small but rapidly growing company, which means there's lots of room for growth and learning opportunities abound! Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. Diversity and inclusion are the bedrock of creativity and innovation. Without diversity of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered. We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table. SAP Basis Engineer a.k.a. Application Support Engineer Job Description SAP Basis Engineers are responsible for providing technical support to client SAP basis systems. They are responsible for the technical aspects of enhancing, updating and deploying critical changes, designing new solutions, and creating procedures in the SAP area. They will report to the SAP Basis Manager. Job Duties • Perform project-based and production support responsibilities as needed to support apiphani managed client environments inclusive of SAP system migrations, SAP landscape refreshes, data protection including database backup & recovery, HA configurations and ongoing SAP system maintenance activities, e.g., SAP performance management, patching, problem management, etc., • Work within and outside the SAP department to determine best practices for future landscapes;, • Build and maintain comprehensive documentation for problem resolution actions, root cause, procedures, etc., • Drive continual improvement in systems operations through collaboration with both delivery and development teams., • Actively engage in root cause analysis, in collaboration with software development and other delivery teams., • Collaborate with team leaders and team members to review workflow processes and SOPs., • Execute against defined project goals. Required Skills • Bachelor of Science in Computer Science, Engineering, Applied Sciences, or equivalent work experience, • 3+ years of experience as an SAP Basis engineer in a service provider or advanced IT organization operating in a 24/7 environment, • Solid background administering the SAP HANA database, • Understanding of SAP security principles, • Experience with Red Hat Enterprise Linux and Ansible preferred, • Experience with configuration management and automation tools, • Experience with Sybase a plus, • Experience with SAP Business Objects a plus, • Familiarity with agile engineering practices (Kanban, continuous delivery, etc.), • Experience working in ITSM tools, ServiceNow preferred, • AWS and Azure service usage on commercial or government cloud, • Development experience with a high-level language such as python or java a plus, • Experience with Sybase ASE a plus, • Strong analytical and critical thinking skills, • Strong ownership bias, • Deadline and detail-oriented This position is fully remote. This position requires US Citizenship—work must be done within the borders of the US. Base Salary$110,000—$125,000 USDCompany Benefits* • Medical/dental/vision - 100% paid for employees, 50% paid for dependents, • Life and disability - 100% paid for employees, • 401K - 3% contribution, no employee contribution necessary, • Education and tuition reimbursement - up to $50K annually, • Employee Stock Options Plan, • Accident, critical illness, hospital indemnity benefits offered through our providers, • Employee Assistance Program, • Legal assistance, • Paid Time Off - up to 6 weeks per year, • Sick Leave - up to 2 weeks per year

Job Description Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the largest and most complicated machine ever built. Yes Energy's industry-leading electric power trading analytics software provides real-time visibility into the massive amount of data generated by the North American electrical grid daily. Our unique and innovative view of the data informs real-time trading decisions and mid-to-long-term investment decisions that keep utility prices low, support the energy transition, and keep the grid running. It's both challenging work and work with a purpose. Be a part of our successful, growing business during international transformation. Position Summary As a Security Analyst II, you will be helping keep the grid safe and our customers secure. You will be part of our growing Security & Compliance team, building security automations, creating baselines for on-premises and cloud environments, assisting teams with vulnerability scans and management, supporting our compliance team with evidence gathering and audits, and more. This is an opportunity to be part of a small team with increasing importance and responsibility. You will help Yes Energy stay secure into the future. Position Details • Salary range: 80,000 - 95,000, • Location: Yes Energy Core Offices or Remote, • Full-time, • Reporting to: Senior Manager, IT and Compliance, • Review and triage findings from vulnerability scans, penetration tests, and configuration assessments to identify potential security risks., • Work with DevOps, engineers, and system owners to remediate vulnerabilities across multi-cloud and on-prem assets., • Support secure configuration baselines for AWS, Azure, and Oracle Cloud resources., • Monitor cloud environments for misconfigurations and suspicious activity., • Assist with IAM policy reviews and privilege audits., • Write scripts (Python, PowerShell, or Bash) to automate detection, reporting, or remediation of security issues., • Integrate security tools and data into dashboards or workflow systems (e.g., Jira, SIEM, or ticketing)., • Provide technical evidence and control implementation support for SOC 2, ISO 27001, or customer security assessments., • Partner with the compliance team to map technical controls to framework requirements., • Assist with incident triage, response, and root cause analysis., • Bachelor's degree in a related field or equivalent related experience, • Minimum of two years of experience with security exposure in information security, systems administration, or DevOps., • Proficient in at least one scripting language (Python, PowerShell, or Bash)., • Strong understanding of operating systems, networking, and cloud fundamentals., • Knowledge of security frameworks such as NIST, • Familiarity with vulnerability management tools (e.g., Tenable, Qualys, Rapid7, AWS Inspector, or Microsoft Defender)., • Working knowledge of AWS, Azure, and/or Oracle Cloud security controls and services., • Ability to travel up to 15% to assist in team building and planning exercises., • Strong, professional communication skills, both verbal and written, including the skill in articulating and translating technical language to non-technical customers., • Ability to plan for contingencies and anticipate problems., • Experience with SIEM or SOAR platforms (e.g., Splunk, Microsoft Sentinel)., • Familiarity with infrastructure such as code (Terraform, CloudFormation)., • Exposure to compliance frameworks such as SOC 2, ISO 27001, or NIST 800-53., • Security certifications (Security+, GSEC, AWS Security Specialty, or similar)., • Endpoint Security/Patching/Inventory experience At Yes Energy, we value connecting directly with candidates. We kindly ask that third-party recruiters and agencies not submit resumes, as we are not open to external recruiting partnerships. ABOUT YES ENERGY Overview Yes Energy delivers real-time market data and electric power trading decision solutions. Over 1,000 market participants use Yes Energy solutions daily. The business is a leader in all aspects of information content collection and management, developing and delivering data and market analytics solutions. Since its inception in 2008, Yes Energy has become a trusted and respected supplier of innovative and reliable solutions focused on the needs of power market analysts, traders, and trade managers. Yes Energy has a team of over 350 amazing professionals in Boulder, CO (HQ); Boston, MA; Chicago, IL; Glendora, CA; Richmond, VA; London, United Kingdom; Auckland, New Zealand, Tokyo, Japan; and Bucharest, Romania. Culture Yes Energy has been named one of the Best Places to Work in Colorado, and we have the culture to prove it. At Yes Energy, we care about saying "Yes" to customers. We like to listen, learn, and develop our solutions in line with their needs. We think about customers as business partners, and when we help them be more successful … we are more successful, too. Around the office, our culture is driven by some pretty fundamental values that we're proud of: • We love innovation and solving tough challenges;, • We are "high standards people" who combine passion and pride with hard work and rewards of all kinds-- in an ethic that is consistent across the company;, • We're team-focused with a flat hierarchy-- we work in small teams on well-defined projects that directly impact the success of the business;, • We play to the strengths and experience of each person while each of us also works along a continuum of roles adjacent to our focus area. This presents the challenge of maintaining a broad set of skills as well as an opportunity to learn and contribute in many ways; We offer highly competitive salaries and real bonuses that are achievable and that you can impact. Our benefits package is also very competitive, including medical insurance, a 401 (k) Plan with matching, flexible vacation, and flexible work schedules. Yes Energy encourages and funds investment in both formal and informal professional development. At Yes Energy, we are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. In accordance with Colorado law, the range provided is Yes Energy's reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as location, experience, knowledge, skills, and abilities. Yes Energy 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, Yes Energy complies with applicable state and local laws governing nondiscrimination in employment in every location where 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. #LI-Hybrid

Job Description Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You Are You are a product-minded, outcome-obsessed driver of technical scientific solutions. You a high velocity self-starter. You refuse to let uncertainty obstruct your path to designing and building solutions. You roll up your sleeves, try things out, and get things done. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions. You are an insatiable learner, with a track record of deeply learning new tools, methods, and domains. You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML. This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry. What You Have Done • PhD with 7+ years / Masters with 10+ years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing., • Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments, • Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders., • Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible., • Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities., • You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston Region, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions., • Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability., • Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform., • Own, scope, prototype, and implement solutions including:, • Data model design (tabular & JSON), • Python-based parser development., • Lab software (e.g., ELN/LIMS) integration via APIs., • Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly), • Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid), • Programmatically interrogating proprietary instrument output files., • Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings, • Proactively communicate implementation progress and deliver demos to customer stakeholders., • Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform., • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Company paid Life Insurance, LTD/STD, • Remote Work, when not visiting customers onsite We are not currently providing visa sponsorship for this position.

Job Description Verve is building a world-class team to commercialize wearable solutions that empower the way people move in the world. Our first product is a lightweight, connected wearable system that can be worn all day, every day by industry associates to improve worker safety, and experience. Verve is growing and launching partnerships with some of the leading companies in the world to augment and protect their workforce and we have the unique potential to change the lives of millions of workers. Verve is dedicated to building a diverse team of individuals who are committed to contributing to an inclusive environment and value respect for all, serving the greater good, and welcoming individuals from a wide range of backgrounds, experiences, and perspectives. Role • Work with product management & design engineering to develop test plans based on system/software specifications, requirements, and conops, • Work with project management to develop and execute software product release schedules, • Execute developed test plans using a combination of manual and automated system & subsystem testing, • Develop new tests and capabilities within the QA function, • Continuously improve testing methodologies, tools, and processes to enhance efficiency and effectiveness., • Provide clear, thorough, and accurate reporting of test results, highlighting any issues discovered during testing., • Collaborate with design engineers to identify root causes and resolve performance issues, • Help to institute and improve engineering best practices using industry experience following a quality-driven stage gate process, • 5-10 years of experience as an SQA or software systems engineer for complex network-enabled IoT hardware devices and web applications, • Proficient in scripting languages such as python, golang, bash, • Proficient with monitoring and test tools such as Mezmo, Postman, and Metabase, • Experience using AWS services including S3, Lambda, RDS, Amplify, • Experience with software QA automation, building software test automation infrastructure & processes, • Experience with bug tracking systems such as Jira, Bugzilla, etc, • Experience working with engineering and product teams to capture, triage, and review bug reports, • Experience mentoring other QA engineers, • Familiar with hardware V&V testing, • Solid analytical skills, strong attention to detail, and communication/presentation skills, • Proficiency in test development, including creating test plans, test cases and test scripts., • Competitive salary and stock options., • Generous premium coverage for medical and dental insurance., • Unlimited PTO, • The opportunity to make an immediate impact in a fast-growing start-up and industry. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Not sure if you meet every single requirement? That's fine! Everything is a balance, and more of one experience can make up for less of another. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day. Powered by JazzHR eh3OLucaOE

Job Description About GrapheneDx: GrapheneDx is a new diagnostics technology company with a mission to transform consumer diagnostics. Our employees gain experience in a multidisciplinary, fast-paced start-up and have ample opportunities to acquire new skills, engage with emerging technologies, and collaborate closely with an accomplished team, all within in a supportive and energetic environment. GrapheneDx offers a competitive compensation package including base salary, performance bonuses, paid time off, health and dental benefits, and excellent growth opportunities. GrapheneDx is seeking a Research Scientist who will apply their expertise to advance our R&D efforts in biosensor development and communicate valuable insights to a highly collaborative and dynamic team. Summary: The Research Scientist in Assay Development will design and execute experiments to functionalize sensors with nucleic acid or antibody probes for biomarker detection, contributing to the development of a groundbreaking, point-of-care diagnostic platform. Collaborating closely with a senior scientist and a cross-functional team of materials scientists, electronics engineers, and data scientists, this role drives forward a disruptive diagnostic technology poised to redefine the field. Key Duties and Responsibilities: • Drive the development of a novel GFET-based point-of-care diagnostic platform., • Design, execute, and optimize experiments for biomarker detection, including feasibility, pilot, and process optimization studies., • Perform data analysis, critically interpret results, and prepare reports and presentations tailored to the needs and expertise of internal and external stakeholders., • Collaborate with a cross-functional team of scientists and engineers to design experiments aligned with R&D objectives, ensuring sensor technology integration into scalable diagnostic solutions., • Document, refine, and optimize protocols, creating actionable plans to improve processes and advance R&D milestones, • Ph.D. in Biochemistry, Biology, Chemistry, Electrochemistry, Biophysics, or a related discipline, or a Master’s degree with 1-5 years of relevant academic or industry experience., • Proven experience in creating and developing biosensor immunoassays and/or nucleic acid detection assays through probe hybridization., • Strong problem-solving skills, with the ability to identify challenges and propose alternative approaches., • Excellent organizational and analytical skills, including the ability to summarize and translate data into actionable plans., • Effective oral and written communication skills to convey technical information to both supervisors and team members. Desirable Experience: • Experience with non-optical-, electrical-, or electrochemical-based sensors, especially graphene-based or carbon nanotube-based sensing platforms., • Experience functionalizing GFETs with biological probes, such as nucleic acids or antibodies, to enable biomarker detection., • Experience defining and improving biosensor performance metrics, such as sensitivity, specificity, limit of detection (LOD), and other industry-standard used to quantify biosensor efficacy and reliability., • Proficiency in coding or data visualization using Python, Origin, and/or Minitab for data analysis and visualization., • Working knowledge of statistical analysis and design of experiments., • Ability to coordinate effectively across multiple functional areas., • Highly motivated and adaptable, with the flexibility to thrive in a dynamic and interdependent environment.

Job DescriptionDescriptionWe are seeking a Principal Engineer to spearhead the development of cutting-edge Application Security products. This high-impact role involves working closely with Product and Engineering teams to build scalable security solutions, integrating AI-driven security alert detection, and driving strategic partnerships with top organizations. As a technical leader, you will shape the future of Application Security through innovation, efficiency, and collaboration. Key Responsibilities • Part of a team that is developing and integrating code scanning and application security products to proactively detect and remediate vulnerabilities., • Build a next-generation application scanner that seamlessly integrates with VIPR and AppScanner to enhance security measures., • Work with top-tier organizations as a design partner to refine and scale security solutions from inception., • Develop and optimize a multi-agent AI pipeline to improve application security operations., • Detects security alerts and contextualizes them using an AI-first approach for improved incident response., • Drive NPI (New Product Introduction) strategies, ensuring efficient resource allocation and cost-effective security solutions., • Join an established high-growth development team and influence security architecture and strategy across the organization Skills, Knowledge & Expertise • 7+ years of experience in Software Engineering, with some level experience in App Security Engineering or DevSecOps. (Developer Security operations experience), • Deep expertise in security vulnerability management, secure coding practices, and security automation., • 5+ years of experience with Python, Node, AWS, GIT Administration and CI/CD Pipelines, • 5 years of experience with MongoDB or S3 Architecture, • Ability to influence cross-functional teams and work with executive stakeholders., • Experience working with large enterprises and high-profile partners to drive security innovation and adoption., • Experience with embedding Security Controls in CI/CD Pipelines Job BenefitsThe salary range listed does not include other forms of compensation or benefits (e.g. i.e. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionAt 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 Sensor Intelligence Engineer at WHOOP, you will be part of a cross-functional team composed of DSP, Apparel & Accessories, WHOOP Labs, Firmware, and Data Science. You will work on the core, fundamental features at WHOOP. This role is tasked with solving the technically challenging problem of extracting physiological information from noisy sensor data, while enhancing diagnostic tools and control methodologies.RESPONSIBILITIES • Collaborate closely with Data Science and Research teams to enhance user metrics by developing innovative and creative algorithms., • Partner with WHOOP Labs to plan data collections, define acceptance criteria, and assess algorithm readiness for real-world deployment., • Validate wearable technology in clinical settings, analyze biomedical data, and prepare comprehensive reports for cross-functional teams., • Monitor and ensure the proper functioning of algorithms across our diverse user population, addressing issues related to data quality., • Contribute to ongoing research efforts and explore new features to improve the overall performance of our products., • Help establish standards and workflows for data analysis, reporting, and dashboard development., • Participate in software development, debugging, and validation processes to ensure code and results are production-ready., • Utilize expertise in signal processing and time-series analysis to analyze biosensor systems and optimize their performance., • Create and implement mathematical models and machine learning algorithms for processing large-scale data and extracting valuable insights.QUALIFICATIONS:, • Bachelor’s or Master’s degree in applied mathematics, statistics, electrical engineering, biomedical engineering, or a related field., • A minimum of 2 years of industry or research experience in signal processing and/or machine learning., • Ability to work with time-series data; familiarity with core signal processing concepts (filters, spectral analysis/FFT, peak detection, windowing)., • Domain exposure to wearable biosignals and real-world noise and artifacts., • Experience developing back-end tools for data processing and analysis., • Proficiency in C and/or Python programming languages., • Solid grounding in statistical inference (e.g., study design, hypothesis testing, regression analysis, bootstrapping), with the ability to choose appropriate methods and articulate trade-offs., • Familiarity with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, Keras, etc., • Strong communication skills with a track record of concise, visual storytelling and documentation., • Demonstrated ability to think innovatively and adapt to changing requirements while consistently producing high-quality reports within tight deadlines., • Experience with version control systems (e.g., Git), CI/CD pipelines, and cloud computing platforms (e.g., AWS).

Job Description About SimpliSafe SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home. With a mission to provide accessible and comprehensive security solutions, we design and build user-centric products that empower individuals and families to protect what matters most. We believe in a collaborative and agile environment where learning and growth are continuous. Our teams are composed of talented individuals who are passionate about technology, security, and delivering exceptional customer experiences. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. Why are we hiring? Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. About the Role We are seeking a highly motivated and experienced Computer Vision Applied Research Engineer to join our growing Edge AI team. As a key contributor, you will lead development of on-device machine learning for outdoor monitoring in the home security space. You will build and optimize computer vision models that run in real time on resource-constrained embedded devices like outdoor cameras and doorbell cameras, balancing accuracy with latency, memory, power, and reliability in challenging conditions (night, weather, motion blur, occlusions). Responsibilities: • Lead end-to-end development of edge ML models for outdoor monitoring (e.g., person/vehicle/package detection, classification, tracking, segmentation, event understanding)., • Architect, train, and deploy transformer-based vision models (e.g., compact ViTs, hierarchical transformers, DETR-style detectors) and hybrid CNN-transformer backbones optimized for embedded inference., • Drive model efficiency through resource-aware design and training, including:, • Architecture: Token/patch reduction, efficient attention variants, early-exit / conditional compute, • Training: distillation from large transformer teachers to edge students, • Compression: Quantization (PTQ/QAT), pruning, mixed precision, and operator-aware optimization, • Translate product requirements into model targets (accuracy, FPS, memory footprint, power/thermal) and ensure models meet budgets on doorbell/outdoor camera hardware., • Partner with embedded/firmware and platform teams to integrate models into production pipelines; profile bottlenecks and improve end-to-end runtime performance., • Define evaluation strategies tailored to outdoor edge deployments; perform failure analysis and improve long-tail robustness (nighttime, rain/snow, backlight, fast motion)., • 8+ years in applied ML/ML engineering, including shipping production CV models., • Strong computer vision background with deep learning expertise across detection/classification/segmentation/tracking., • Hands-on experience with vision transformers and/or DETR-style architectures, including practical knowledge of efficiency trade-offs for edge deployment., • Demonstrated success deploying models in resource-constrained, real-time environments (embedded/mobile/IoT/edge)., • Deep experience in model optimization: QAT/PTQ, distillation, pruning, compression, mixed precision, and hardware/runtime-aware training., • Proficiency in Python and PyTorch and/or TensorFlow; ability to productionize models and collaborate with systems engineers (C++ experience strongly preferred)., • Expertise in efficient transformer techniques (e.g., attention approximations, windowed/local attention, KV caching where applicable, token merging, sparsity) and their deployment implications., • Experience building model "ladders" across multiple chipsets/device tiers with consistent KPIs and automated regression testing., • Experience with embedded inference tooling and runtimes (e.g., TFLite, ONNX Runtime, TensorRT) and model export/compatibility constraints., • Familiarity with embedded accelerators and profiling (ARM NEON, DSP/NPU toolchains), kernel/operator tuning, and real-time video pipelines., • 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 Cambridge, MA (In-person) About Us: GT Biosciences is a seed-stage techbio startup building Deliveromics, the first AI-powered, high-throughput, multiplexed in vivo data engine for cracking the design rules of drug delivery. Founded by MIT PhDs and an MIT professor, backed by top-tier investors, we’re creating next-generation, non-viral, cell-type-specific delivery vehicles. We’re a small, fast-moving, science-obsessed team on a mission to make routine in vivo cell reprogramming possible. We’re a small, fast-moving, science-obsessed team on a mission to make routine in vivo cell reprogramming possible. We value transparency and collaboration, and seek teammates who thrive in an open, cooperative environment and want to grow together with the team and the company. Job Description: GT Biosciences is seeking a mission-driven, multidisciplinary LNP Scientist to join our Deliveromics Platform Development team to advance the next generation of non-viral delivery technologies. In this role, you will design and develop novel ionizable lipids, engineer ligand-conjugated lipid nanoparticle formulations, support Deliveromics in vivo screening, and evaluate performance using both in vitro assays and in vivo animal models. You will be responsible for experimental planning and execution, data analysis and interpretation, and the clear communication of results. As one of the earliest scientific hires at an emerging techbio company, you will have the opportunity to shape platform development, collaborate across disciplines, and contribute directly to transformative delivery solutions for genetic medicines. This is a full-time, in-person position based in Cambridge, MA. Responsibilities: * Lead the discovery and development of innovative ligand-LNP delivery technologies, with a focus on improving biological performance, biophysical properties, and in vivo targeting. * Design and develop novel ionizable lipids, ligand-conjugated LNP formulations, and related chemistries for targeted delivery applications. * Develop, optimize, and implement high-throughput assays to evaluate LNP systems, including stability, delivery efficiency, and critical quality attributes, in both in vitro and in vivo models. * Design and execute experiments at the intersection of chemistry, molecular biology, and formulation science, including spatial or sequencing-based readouts when appropriate. * Independently plan, execute, and analyze experiments while also overseeing work performed by supporting scientists. * Stay current with emerging research, technologies, and competitive landscapes across lipid nanoparticles, nucleic acid delivery, targeted therapeutics, automation, and gene editing modalities. * Collaborate closely across chemistry, biology, and automation scientists within the Deliveromics Platform group to troubleshoot challenges and integrate new methods into the screening and development pipeline. * Analyze and interpret experimental data using rigorous quantitative and statistical frameworks; generate high-quality reports and provide actionable insights that inform design decisions and platform direction. * Establish and maintain complete, well-organized documentation, including protocols, SOPs, experimental records, and data summaries to ensure reproducibility and compliance. * Drive process and platform innovation, contributing to technology transfer efforts as workflows mature toward automation, scale, and production readiness. Qualifications: Required: * PhD in Chemistry, Bioengineering, Biomedical Engineering, Biochemistry, Biophysics, or a related field. Exceptional candidates with substantial relevant experience will also be considered, regardless of degree. * Hands-on experience with ionizable lipids, LNP formulation, RNA/LNP nanoparticle preparation, targeted delivery systems, or related technologies, with a strong track record in industry or academia. * Deep expertise in the design, synthesis, purification, and characterization of novel ionizable lipids, lipid conjugates, lipid-like compounds, or related molecular platforms. * Practical experience with lipid biology, LNP formulation development and optimization, and in vitro and/or in vivo assays assessing delivery performance. * Strong problem-solving skills, meticulous attention to detail, and a high level of experimental rigor. * Excellent written and verbal communication skills with the ability to collaborate effectively across diverse scientific and technical teams. * A resourceful, adaptable, and emotionally intelligent team member who thrives in a fast-paced, cross-functional environment. * Ability to work onsite five days per week at our Cambridge, MA location. Nice to have: * Prior experience working with non-human primate models will be a strong plus. * Experiences with nucleic acid chemistry (mRNA, ASO, and siRNA, etc.). * Basic coding skills (e.g., Python, R, or MATLAB). * Hands-on experience troubleshooting liquid-handling platforms or automated lab systems. What we offer * Competitive salary and equity. * Flexible, generous health benefits. * Work with a small, world-class team that values rigorous science and candid collaboration. * Opportunity to work with experts from diverse scientific backgrounds. Equal Opportunity Employer: GT Biosciences is an Equal Opportunity Employer. We celebrate diversity and are committed to fostering an inclusive, supportive environment for all employees. All qualified applicants will be considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We don't expect anyone to know everything. We learn together, support each other, and get better every day! If you are ready to make an impact, we would love to hear from you.

Job Description Withings revolutionized connected health by launching the world's first Wi-Fi scale in 2009. Our award-winning ecosystem includes beautifully designed, easy to use connected devices for monitoring blood pressure, weight, activity, sleep, temperature, and more. Now our devices are used for preventive health and weight-loss programs, telehealth and remote patient monitoring, and clinical studies. They are the key enabling technologies which support our partners’ strategies by accurately and reliably providing the data & metrics they need in order for their programs to be successful. We are looking for a VIE – Supply & ADV Analyst to strengthen our Operations team and support the efficiency, reliability, and continuous improvement of our end-to-end supply chain and order management processes. In this role, you will contribute to automation initiatives, operational performance analysis, and cross-functional collaboration to enhance both internal workflows and the customer experience. The main missions will include: 1. Process Automation & Continuous Improvement • Develop Python scripts to automate recurring manual tasks (e.g., data cleaning, data extraction & upload between systems)., • Set up retro-control tools to check on operation accuracy (e.g. ensure consistency between price invoice in ERP and confirmed prices from the Sales team), • Streamline B2B customer order entry through automation tools (e.g. firebase, python script) 2. Operational Analysis • Conduct cost analysis on US logistics activities (transportation, rework, returns, warehousing)., • Identify cost reduction opportunities and propose actionable improvements to enhance operational efficiency. 3. Cross-Functional Collaboration • Coordinate with Sales, Customer Success, and Customer Service teams to improve communication and alignment through shared KPIs., • Support US Supply chain leader to create and follow tickets with the platform team on various automation projects., • Master’s degree in Engineering, Supply Chain Management, Data Analytics., • Solid understanding of supply chain operations and data-driven analysis., • Strong command of Python, Excel & automation tools., • Excellent communication skills in English and French., • Analytical mindset, attention to detail, and passion for process improvement., • To be eligible for a VIE, candidates must be over 18 and under 28 years of age, and be of European nationality. Nice to Have • Previous experience in an international environment or e-commerce/logistics sector., • Becoming part of one of the pioneers and global leaders in connected health, multiple-time award winner at the Consumer Electronics Show., • Contributing to innovative and ambitious projects shaping the future of health, within an agile and fast-evolving environment., • Joining an international company, member of the FrenchTech 120, with teams based in Issy-les-Moulineaux, Boston, Hong Kong, and Shenzhen., • Actively participating in the continuous improvement of our products and services by beta-testing them before release — including during our many sports sessions with colleagues.

Job Description Mission Summary: The Behavior Understanding and Evaluation team at Motional is responsible for defining how we measure and validate autonomous vehicle behavior at scale. To prepare for large-scale driverless deployment, manual review and static metrics thresholds are no longer sufficient. We aim to build automated, statistically rigorous systems using cutting-edge machine learning techniques to understand and evaluate our vehicles' performance, both in real-world deployment and within simulated environments. Determining whether a simulation "Passed" or "Failed" is a particular challenge given the multi-modal complexity of real-world human driving.This is a research-forward engineering role focused on helping us build a Next-Generation Semantic Validator: a production-grade machine learning evaluation system that learns the distribution of valid human driving behavior and uses it as a "Safety Ruler" for autonomous vehicle releases. This internship is based in our Boston office and requires in-office days each week. What you'll do: • Develop Advanced Models: Leverage Transformer-based Generative Models (e.g., Trajectory Transformers or MotionLM architectures) to learn the 'grammar' of valid human driving knowing ground truth of the past and future, allowing rapid assessment of large scale simulations that may otherwise require a human in the loop, • Establish Statistical Safety Guarantees: Pioneer the definition and implementation of key evaluation metrics using techniques such as Conformal Prediction to establish rigorous, dynamic safety envelopes around predicted trajectories., • Benchmark Methods: Own the benchmarking initiative comparing traditional geometric methods (e.g., single trajectory comparison) against cutting-edge generative / ML based approaches to prove a reduction in "False Fails.", • Collaborate: Partner cross-functionally with Behaviors, Actions, Simulation, System Engineering, and Research to share insights on multi-modal truth and probabilistic safety. What we're looking for: • Currently a PhD in Computer Science, Robotics, Machine Learning, Statistics, or a related field., • Strong foundation in scientific and statistical methodologies., • Expertise in Machine Learning and Deep Learning, specifically modern Sequence Modeling (Transformers, Self-Attention, and Cross-Attention applied to time-series or trajectory data)., • Hands-on experience with Generative AI paradigms (e.g., treating motion as a generative next-token prediction task, or using Diffusion Models)., • Strong grasp of Probabilistic ML and uncertainty quantification to distinguish between "rare but safe" behaviors and out-of-distribution failures., • Strong software engineering skills in Python and standard deep learning frameworks (PyTorch or TensorFlow). Ideally, you also have: • Domain knowledge in Autonomous Vehicles, specifically Motion Planning, Kinematics, or Behavior Prediction., • Familiarity with Conformal Prediction or other distribution-free uncertainty quantification techniques., • Experience with Inverse Reinforcement Learning (IRL) or inferring intent from human driving., • Experience with JAX / Flax and composable function transformations (jit, vmap) for high-performance computing. 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 DescriptionWe are seeking an experienced and highly skilled data scientist to join the Perception Data and Labeling team.. The team is responsible for training and evaluation data powering the perception (vision, lidar, and other modalities) ML models at Zoox. The candidate will work alongside data ops partners, ML engineers, software developers, and data engineers to improve model performance through high quality human- and auto-labeled data. In this role, you will: • Define and implement scalable data quality measures across complex, multimodal data labeling pipelines, • Drive data-centric ML model improvements to achieve critical Zoox milestones, • Support an org-wide data ontology and class structure for perception models, • Determine trade-offs and integrations between human-labeled, human-in-the-loop, and zero-shot autolabeled data, • Build metrics to quantify labeling throughput, capacity, and annotator/vendor qualityQualifications:, • Master's or PhD degree in a field relevant to autonomous driving (computer science, robotics) to the analysis of human data (computational neuroscience, cognitive science) or a related field, • Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code, • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business., • Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact., • Experience with data-centric ML development and data curationBonus Qualifications:, • Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)

Job Description Mission Summary: You will be joining a tight-knit group of IT professionals chartered with providing the best outcomes for our customers. In this role you will be pivotal in how the Motional IT infrastructure functions and how we maintain and improve operational stability and efficiency. You will be at the forefront of ensuring consistent performance of the network at Motional. What you'll be doing: • You will maintain software patching, upgrades, and backup processes for all network devices., • You will provide support for our infrastructure operations globally by interacting with others to troubleshoot and resolve a variety of issues., • You will create technical documentation and runbooks used by other IT members to reduce time to resolution of incidents and service requests., • You have the opportunity to review and analyze the effectiveness and efficiency of existing systems and develop strategies for improving or further leveraging these systems What we're looking for: • You have performed in an IT networking role for 2-4 years, • You can work effectively with limited oversight, • You can demonstrate experience with technical troubleshooting, diagnosing, and problem-solving, • You're capable of initiating actions to reduce barriers and leverage the advantages of a diverse team and individual styles, ideas and professional or educational backgrounds., • You have experience with WAN/LAN/Firewall/Wireless systems with emphasis on Cisco and Palo Alto solutions, • You have some knowledge of network technologies such as SNMP, BGP, LACP, 802.1q, etc, • You have some knowledge of hosting and virtualization technologies such as Hypervisors (VMWare), Windows Servers, Ubuntu Servers, Dell Open Manage, etc., • You have good verbal/written communications skills and are able to translate technical information into understandable terms to a variety of audiences. Bonus points (not required): • Any basic technical certifications such as Cisco CCNA, VMWare VCP, Palo Alto, Dell and/or AWS are not required but are a plus, • Knowledge of scripting and automation tools, including Python, Ansible, and PowerShell a plus Why you should join us: • Exposure to modern and complex infrastructure architecture, • Opportunity for Hybrid work, • Part of a team that works hard but has fun while doing it This role is hybrid from our Pittsburgh office. It requires two in-office days each week, ideally Tuesday and Thursday. 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$98,000—$129,500 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 DescriptionDescriptionOPENING DATE: March 23, 2026 CLOSING DATE: April 3, 2026 TYPE OF POSITION: Trust Indefinite (Non-Federal) DIVISION: ATOMIC AND MOLECULAR PHYSICS LOCATION: CAMBRIDGE, MA AREA OF CONSIDERATION: This position is open to all eligible candidates. Conditions of Employment • Pass Pre-employment Background Check and Subsequent Background Investigation, as required., • Complete a Probationary Period if applicable., • Maintain a Bank Account for Direct Deposit/Electronic Transfer., • The position is open to all candidates eligible to work in the United States. Proof of eligibility to work in U.S. is not required to apply. SUMMARY This is the position of Atmospheric Physicist in the Atomic and Molecular Physics Division of the Smithsonian Astrophysical Observatory (SAO). The employee will perform research on atmospheric composition measurements, including aerosols and trace gases from Earth satellites’ observations. The employee will be part of a research group working on the design, development and implementation of software for atmospheric measurements and on the application of the measurements for scientific studies. The software will involve advanced algorithms for generation of data products for aerosols, gases, and clouds from UV/visible spectra. Research includes data analysis and sensitivity studies for satellite observations, especially for TEMPO (Tropospheric Emissions: Monitoring of Pollution) and its synergistic missions. MAJOR DUTIES1. Define scientific and system requirements to develop and evaluate advanced scientific and numerical algorithms, especially for aerosols and trace gases. This will involve implementing retrieval algorithms for remote sensing of atmospheric constituents, testing software, improving algorithm, and assessing result.2. Assist other scientists and/or programmers in developing programs for retrieval and application of satellite data products.3. Perform scientific studies involving atmospheric measurements, radiative transfer, chemical transport modeling, tropospheric chemistry, and spectroscopy. 4. Prepare refereed publications and present results at professional meetings.5. Contribute to the enhancement or enrichment of the research portfolio of the atmospheric measurement group at SAO through innovative retrieval method, science application, or modeling for satellite observations. QUALIFICATION REQUIREMENTSBasic Requirements A) Degree in physics; or related degree that included at least 24 semester hours in physics; or B) Combination of education and experience -- courses equivalent to a major in physics totaling at least 24 semester hours, plus appropriate experience or additional education. In either A or B above, the courses must have included a fundamental course in general physics and, in addition, courses in any two of the following: electricity and magnetism, heat, light, mechanics, modern physics, and sound. Additional Requirements In addition to the Basic Requirements above, you must have: a) One year of specialized experience that is equivalent in difficulty and responsibility to grade 11 level work in the Federal government. The experience would have included operating with wide latitude for independent judgment, performing complex analysis in the field of aerosol / trace gas remote sensing, and collaborating effectively with colleagues. OR Education for Grade 12: Ph.D. or equivalent doctoral degree. OR Combinations of successfully completed graduate level education and specialized experience may be used to meet total experience requirements. Knowledge, Skills, and Abilities (Required) • Knowledge of Fortran 90/95, Python, IDL, MATLAB, shell script, and Linux operating systems, • Knowledge of scientific software development, • Experience in the concepts, principles and practices of atmospheric science or a related field, as evidenced by a PhD, • Experience in developing operational retrieval algorithms for satellites, especially Geostationary, • Knowledge of mathematics and physics of satellite remote sensing, • Knowledge of radiative transfer, • Skill in developing new software, modifying existing programs, and designing, coding, testing, and maintaining complex programs, • Demonstrated ability to present in conferences/meetings and publish in peer-reviewed papers., • Skill in oral and written communication as evidenced by refereed journal publications and scientific presentations What To Expect Next: Once the vacancy announcement closes, a review of your resume will be compared against the qualification and experience requirements related to this job. After review of applicant resumes is complete, qualified candidates will be referred to the hiring manager. Commitment to Diversity, Equity, and Inclusion The Smithsonian Institution provides reasonable accommodation to applicants with disabilities where appropriate. Applicants requiring reasonable accommodation should contact . Determinations on requests for reasonable accommodation will be made on a case-by-case basis. To learn more, please review the Smithsonian’s Accommodation Procedures. The Smithsonian Institution is an Equal Opportunity Employer. We believe that a workforce comprising a variety of educational, cultural, and experiential backgrounds support and enhance our daily work life and contribute to the richness of our exhibitions and programs. See Smithsonian EEO program information: . The Smithsonian Astrophysical Observatory is an equal opportunity employer committed to diversity in our workplace. Please visit the SAO website at .

Job DescriptionWHOOP is an advanced health and fitness wearable, on a mission to unlock human performance and healthspan. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team is responsible for developing novel algorithms and features that expand our health capabilities. Our work spans several key areas, including women’s health, medical device–grade metrics, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. As a Senior Machine Learning Engineer on our Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineering, and cloud infrastructure—deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML services.RESPONSIBILITIES: • Create, improve, and maintain production services that provide analysis for health features in collaboration with Data Scientists and MLOps Engineers., • Collaborate with Data Engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance., • Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency., • Collaborate with researchers and product teams to align model development with health insights and member impact., • Participate in on-call rotations for data science services, ensuring uptime and performance in production environments.QUALIFICATIONS:, • Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field. Master’s preferred., • 5+ years of professional experience as a Machine Learning Engineer or Software Engineer with focus on ML systems., • Proven expertise working with time series data (wearable, physiological, or high-frequency sensor data strongly preferred)., • Experience designing and deploying ML inference systems at scale: both real-time streaming and large-scale batch pipelines., • Strong coding skills in Python (scientific stack) and SQL, with a track record of writing clean, production-quality code., • Strong communication skills to collaborate across engineering, research, and product teams., • Proven experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), • Working familiarity with MLOps best practices: model versioning, CI/CD for ML, observability, and monitoring for inference systems., • Ability to reason about and design for performance trade-offs (latency vs. throughput vs. cost) when building ML inference systems.

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. Team Overview: The Amplify Engineering team builds internal tools, platforms, and AI-powered automation that help Klaviyos work more efficiently and at scale as the company grows. We partner across the organization, including Sales, Marketing, Engineering & Product, Customer Service & Success, and Finance, to solve real operational problems with practical, well-designed software. Our work spans internal applications, 3rd-party integrations, interactive dashboards, CMS integrations, and robust AI systems and agents that automate repetitive tasks, surface the right information at the right time, and help teams make better decisions. We operate in tight feedback loops with our internal customers, shipping quickly, learning fast, and seeing the impact of our work immediately in how deals move faster, tickets resolve sooner, and launches go more smoothly. This role is for builders and leaders who enjoy turning real-world pain points into reliable, scalable solutions. The work is highly visible and deeply impactful, shaping how thousands of Klaviyos get their work done every day through fast iteration, high ownership, and clear outcomes. How you'll make an impact: The Amplify team builds the internal platforms, automation, and AI-driven systems that power how Klaviyos work every day. As an Engineering Manager, you will: • Lead multiple engineering teams and set the technical vision for internal tools and platforms that drive efficiency, automation, and productivity., • Own a portfolio of internal systems supporting Sales, Marketing, Customer Service & Success, R&D, and Finance, including AI-powered workflows, internal web applications, data and event pipelines, 3rd party integrations, and support tooling., • Balance technical leadership and people leadership, setting direction, modeling best practices, and enabling teams to deliver efficiently., • Partner closely with engineers, product managers, designers, and senior stakeholders to translate organizational challenges into scalable, high-quality software solutions., • Learn and evolve Klaviyo's end-to-end internal workflows, scaling platforms and processes to support the company's next phase of growth., • Foster a culture of innovation, systems thinking, technical excellence, and an AI-first mindset., • Make a direct, visible impact on how thousands of Klaviyos get their work done every day. Who you are: • You are passionate about building software effectively and for the long term, balancing technical quality, velocity, and business impact., • BA or BS Degree in Computer Science, related field, or equivalent experience., • You have 6-8+ years of hands-on software development experience building and operating highly available, full-stack SaaS products at scale, and a strong understanding of modern web architectures and scalable, multi-tenant design patterns., • You have 5+ years of experience as an engineering manager, leading high-performing teams that deliver complex, cross-team initiatives over multiple quarters using an agile, iterative approach., • You are an AI-native technical leader. You have hands-on experience using modern AI tools and workflows (e.g., OpenAI, Anthropic, Gemini, N8N) in your own work and enabling teams to do the same. You are excited to experiment with various AI tools to increase team productivity and innovation., • You are comfortable setting technical direction and standards, partnering with peers and senior leadership to evolve architecture, development practices, and shared engineering processes., • You have a strong track record of end-to-end ownership, from design through delivery and deployment, including estimating work, managing risks, and ensuring teams reliably meet their commitments., • You are an effective cross-functional leader and communicator, serving as a clear interface between engineering, product, and business stakeholders to align priorities and drive execution., • You are a people-first leader and coach, experienced in hiring, onboarding, mentoring, and developing engineers through constructive feedback and growth opportunities, while fostering a healthy, collaborative team culture., • You enjoy leading teams that build internal platforms, tools, or systems that improve end-user productivity, automation, and operational efficiency., • You like to question convention, continuously improve how work gets done, and thrive in small, autonomous teams that ship early and often in close partnership with product and business stakeholders. 30 / 60 / 90 / 6-12 month Plan 30 Days: Build context across the Amplify domain by learning the teams' areas of ownership, architecture, and core workflows. Establish trust with engineers and partners while participating in technical discussions and tradeoff decisions. 60 Days: Assess team roadmaps and delivery practices, incorporating stakeholder and team input. Align priorities and plans with the technical vision and business goals you're helping to set. Start assisting the Amplify team with hiring. 90 Days: Improve how teams and stakeholders work by introducing or refining tools, processes, or architectures. Provide technical leadership through reviews, guidance, and targeted hands-on contributions when useful. 6-12 months: Be a trusted owner of your teams' platforms and systems, known for delivering meaningful, scalable impact. Partner closely with product and design to drive adoption of Amplify systems and evolve them to support Klaviyo's continued growth. Nice to have: • Experience building internal tools and automations for developers and/or non-technical stakeholders as well as operational systems that improve reliability and productivity., • Hands-on experience in full-stack environments, including diagnosing and improving application performance., • Deep practical experience using AI tools and patterns (e.g., APIs/SDKs, prompt and context design, agentic or automated workflows, RAG, and evaluation/monitoring) to solve real user problems. Klaviyo's platform is primarily built with Python and React and runs on AWS. New hires join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include: • Python / Django / FastAPI, • Typescript / React, • MySQL / Redis / Memcached, • RabbitMQ / Celery / Apache Kafka / Apache Pulsar This role is based in Boston, Massachusetts and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position. At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds. 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 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 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. Role Summary Klaviyo is seeking a Manager of Advanced Analytics & Automation to lead strategic analytics programs and AI first automations for our Customer Success Strategy and Analytics team. This role owns the development of scalable customer intelligence systems, and spans customer cohorting, health and success signals, churn and expansion drivers, and AI-powered workflows that translate insight into action. You will operate as a senior technical individual contributor with program-level ownership, combining advanced data analytics and applied AI in partnership to build durable tools and processes used across GTM. This role is ideal for someone who can architect, build, QA, and operationalize advanced analytics and insights projects end-to-end while partnering deeply across Product, Ops, and Data teams. What You'll Do • Own Customer Success Intelligence & Advanced Analytics & Insights, design Production-Grade Data Models & Analytics Pipelines, and champion AI Tooling, Automation & Workflow Orchestration, • Build and maintain customer cohorting, segmentation, and benchmarking frameworks, in collaboration with our Product Data Science team, that captures meaningful differences in Customer behavior, maturity, and value, • Define and evolve customer health, adoption, and success scoring and signals, including leading indicators of churn and expansion, • Design and scale advanced analytics projects and models, including cohort analysis, statistical inference, and impact measurement systems, that connect product usage and engagement to customer retention outcomes, • Act as a technical program owner for complex analytics initiatives, driving roadmap definition, sequencing workstreams, coordinating dependencies, and delivering outcomes, • Create advanced SQL and Python outputs that power customer insights, forecasting inputs, and operational reporting, using GitHub for version control and change management, and applying strong data modeling and governance practices, • Partner closely with Data Engineering, CS OPs, Data Science and Product Analytics, to deliver strategic analytical tools and insights that inform GTM priorities, roadmap decisions, and customer strategy, and collaborate to deliver prototype AI-assisted tools that provide GTM teams real time actionable insights into customer behavior, • Design and deploy workflow automations using n8n, Airflow or other AI tools, and establish integrated AI driven alerts that surface real-time customer risk and opportunity, • Lead initiatives end-to-end: problem framing, design, build, QA, documentation, rollout, and iteration, • Maintain a high bar for execution quality, accuracy, reliability, and long-term scalability, • Translate complex technical outputs into clear, actionable narratives for senior business and GTM stakeholdersWhat We're Looking For, • 5+ years of experience in advanced analytics, technical analytics or data analytics (SaaS strongly preferred), • Advanced proficiency in SQL and GitHub, with experience owning complex analytical data models, • Strong hands-on experience with Python and/or R, including statistical inference, cohort analysis, and advanced research, • Tableau Developer–level fluency, with solid understanding of dashboard logic, metrics, and database structures, • Confident using AI tooling (e.g., Cursor, Glean, Codex, GitHub AI etc.) to accelerate development, and familiarity with workflow automation platforms (n8n, Airflow, DBT); experience with LangChain a plus, • Demonstrated ability to build and operationalize analytics and AI workflows used by CS, Sales, or GTM teams, • Experience operating as a technical program manager for analytics or data initiatives, • Strong communication skills and comfort partnering with senior, non-technical stakeholders, • High standards for analytical rigor, QA, documentation, and system reliability, • 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. #LI-Abbey #LI-hybrid 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:$124,000—$186,000 USD 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 DescriptionFieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI is seeking passionate engineers to play a vital role in the development of our humanoid robot software stack. You will work with a focused team in a fast-paced environment to integrate perception, planning, locomotion, and manipulation subsystems into a single cohesive system that runs reliably on real hardware in unstructured, real-world environments. A core part of this role will be working with integrating and graduating research-grade capabilities into robust, production-quality systems. The ideal candidate will have a strong understanding of robotic software systems and the practical skills to deliver high-quality, maintainable code on a small, focused team.What You’ll Get To Do • Develop and maintain the core software framework that composes perception, planning, locomotion, and manipulation into a deployable system on humanoid platforms., • Define and enforce subsystem interfaces, communication patterns, and data contracts for reliable, independent module development., • Own system bring-up, sensor calibration, and validation workflows for new sensor/platform revisions and configurations., • Partner with research engineers to take algorithms from prototype to production-quality, tested, maintainable code., • Identify and close reliability gaps with fault handling, performance budgets, integration/regression tests, and hardware validation., • Build repeatable “graduation” pipelines so new capabilities land without breaking existing functionality., • Design and run end-to-end integration tests across hardware and simulation., • Build tooling for automated diagnostics, telemetry, and post-run analysis to speed up debugging., • Coordinate integration milestones across teams, flag risks early, and keep the system continuously shippable., • Profile and optimize latency, throughput, and memory on embedded platforms under real-time constraints., • Harden the stack against real-world failure modes (sensor dropouts, comms loss, thermal throttling, degraded modes)., • Implement runtime monitoring and health checks so the robot can detect, log, and recover from faults autonomously.What You Bring, • Bachelor’s or Master’s in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent industry experience)., • 7+ years hands-on experience developing and integrating robotics software, including work on physical hardware., • Strong C++ and Python proficiency with modern best practices; able to work in large, multi-language codebases., • Strong understanding of ROS/ROS2 and experience designing, building, and deploying nodes in complex robotic systems., • Solid understanding of real-time systems, inter-process communication, and resource-constrained embedded compute environments., • Experience hardening research/prototype code into production-quality software with testing and fault handling., • Strong problem-solving skills, attention to detail, and ability to work independently while managing multiple priorities., • Strong work ethic, self-motivated, and excellent written/verbal communication skills.What Will Set You Apart, • Experience with humanoid robots, legged locomotion platforms, or complex dexterous manipulation systems.Familiarity with motion planning, whole-body control, or contact-rich manipulation pipelines., • Experience working with computationally constrained platforms and designing efficient, real-time software with low overhead., • Background in CI/CD, automated testing, and release engineering for robotics software., • Contributions to open-source robotics frameworks or tools.

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 careers.klaviyo.com to see how we empower creators to own their own destiny. At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business. As a Sr. AI Engineer at Klaviyo, you'll play a key role in designing and building scalable backend systems and user experiences that power our AI products and AI agent solutions. You'll partner closely with product managers, machine learning engineers, and data scientists, to drive real-world impact at scale. This is a backend-heavy role with opportunities to influence architecture, async processing pipelines, distributed systems, and more. How You Will Make a Difference * Design and build backend systems that support scaling our AI solutions for 167K+ customers. * Develop robust, reliable and scalable data collection and processing pipelines for machine learning models to train and consume. * Develop robust, reliable and scalable services to serve AI models in production environments. * Contribute to evolving our agentic architecture — making our AI agents more self-sufficient and performant. * Contribute to a culture of ownership, experimentation, and customer-centric product thinking. Who You Are * 5–7 years of professional experience in software engineering, with a strong focus on backend systems and distributed architectures. * Have hands-on experience building and deploying generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation. * Experienced backend engineer with a strong track record of building scalable, distributed systems, especially in the service of AI agent capabilities. * Proficient in Python and modern backend frameworks (FastAPI, Django preferred). * Experience creating human and automated evals to ensure high AI model quality. * Proficient in big data tools such as Apache Spark and Hadoop. * Deep experience with asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis). * Strong understanding of database technologies and ORMs (SQLAlchemy, Alembic). * Comfortable with cloud-native architectures (AWS) and container orchestration (Kubernetes); can manage infrastructure and CI/CD pipelines. * Skilled at designing and building robust APIs. * Able to operate with a high degree of autonomy, handle ambiguity, and thrive in a fast-moving, startup-like environment. * Driven by curiosity. You're someone who learns and stays up to date with this rapidly evolving field. * Comfortable collaborating directly with product managers and customers to shape solutions. Nice to Have * Trained ML models in the past and deployed them in production systems to generate impact to businesses. * Experience in reinforcement learning. 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:$152,000—$228,000 USD 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).