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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 systems that do the hard work for them. We've built the infrastructure and applications that power the interface between businesses and consumers — supporting over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer interactions. Now, we're building the next generation of AI agents that can automatically create, execute, and optimize marketing and customer experience strategies for any business. As a Senior Software Engineer at Klaviyo on the Marketing Agent team, you'll play a key role in designing and building the system that autonomously creates and executes high impact marketing strategies on behalf of our customers. Partnering closely with product managers and technical product owners, you'll help define scope, translate ideas into practical implementations, and build intuitive tools that delight our customers. This role is primarily backend, with a strong focus on crafting robust and maintainable AI powered systems that deliver high quality strategies and marketing content that's ready to use to our customers. There are ample opportunities for growth given the scope of this role and the team's central role in Klaviyo's product. How you'll make a difference: • You will dramatically increase ROI for Klaviyo customers by automating most of the marketing process for them., • You will lead and design the next generation of agentic systems at Klaviyo, pushing the frontier of AI capabilities., • You will collaborate with AI Engineers and AI Infra Engineers to ensure our system consistently produces high quality outputs at low latency., • You will leverage your experience to mentor and level up junior team members on engineering best practices and patterns., • You will transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up. Who you are: • A proven track record of building high-quality products and systems, with pride in writing clean, high-quality code., • 7+ years of experience in a software engineering role., • Experience leading projects and being accountable for their outcomes., • Experience mentoring team members or driving initiatives that help the team learn new skills., • Experience conducting code reviews and running a robust testing cycle., • Experience working in agile, fast-paced environments., • Proficient in Python and modern web stack components such as FastAPI, Django, MySQL, Postgres., • Experience working in cloud environments (AWS preferred)., • 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. Nice to have: • Prior work experience with AI tools such as Arize, Langgraph, Langchain, • Prior work experience building with LLMs such as GPT, Gemini, Claude 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).

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. As the Software Engineer, Product Recommendations at Klaviyo, you'll help build the machine learning–powered systems that decide which products to show to whom and when across our platform. You'll work on large-scale backend and data systems that turn billions of behavioral events into real-time, personalized product recommendations that drive revenue for merchants of all sizes. You'll join the Product Recommendation team, partnering closely with Machine Learning Engineers, AI Engineers, other engineers, Product Managers and Designers to design, build, and operate services and data pipelines that power our recommendation features end to end—from data ingestion and feature generation to ranking models and APIs exposed in product. This is a hands-on backend role with a strong focus on building scalable systems and data processing frameworks, with prior ML system experience as a plus (not a hard requirement). How you'll make a difference Design, build, and operate backend services that power product recommendations across Klaviyo experiences (email, SMS, KAgent, onsite, etc.), with a focus on reliability, performance, and clear APIs. Build and maintain large-scale data processing pipelines (e.g., using Apache Spark or similar frameworks) that transform raw events and catalog data into high-quality features and inputs for recommendation models. Collaborate with ML engineers to productionize recommendation models—defining interfaces, feature contracts, and deployment patterns for batch and/or real-time inference. Build ML/AI systems such as vector search that power recommendation, semantic search, and agentic use cases. Implement and evolve data and service observability (metrics, logging, tracing, dashboards) to ensure recommendations are correct, fast, and available when customers need them. Contribute to and improve shared data frameworks, libraries, and patterns that make it easier to build new recommendation use cases and iterate quickly. Work with product managers to break down complex recommendation initiatives into clear milestones, helping balance experimentation speed with reliability and technical soundness. Partner on data-driven decision making and A/B testing—ensuring recommendation systems are instrumented with the right metrics, and helping interpret results to guide future iterations. Participate in on-call and incident response for the systems you own, driving follow-ups that improve the resilience and operability of our recommendation stack. Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up—for example, using AI to accelerate development, automate tests, or better monitor and debug recommendation behavior. Share knowledge and mentor other engineers on working with large-scale data frameworks, distributed systems, and best practices for integrating ML into production systems. Who you are 3+ years of software engineering experience, including building and operating backend services in production. Strong focus on backend and distributed systems at scale; you've worked on high-throughput or highly available services and care about latency, reliability, and operability. Proficient in Python, and comfortable working in at least one modern language used for backend/data work (e.g., Java or Scala). Proficient with big data frameworks such as Apache Spark (or similar technologies like Flink, Beam, etc.) for building batch or streaming pipelines. Comfortable with cloud-native architectures (AWS preferred) and container orchestration (e.g., Kubernetes); able to work with infrastructure and CI/CD pipelines as part of your day-to-day development. Comfortable with data-driven decision making and A/B testing—you understand how to instrument experiments, read results, and fold learnings back into the system. Comfortable designing and querying data models in relational or analytical datastores (e.g., Postgres, MySQL, data warehouses). Familiarity with modern DevOps practices (CI/CD, monitoring, alerting) and how they apply to large-scale data and recommendation systems. Proven track record of owning projects end-to-end—from design and implementation through rollout, monitoring, and iteration—ideally across multiple components or services. Excellent collaborator and communicator: you can explain tradeoffs to technical and non-technical partners and work effectively with ML Engineers, Software Engineers, PMs, and other teams. 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. Nice to haves Previous experience working on product recommendation systems or adjacent ML-powered features (ranking, personalization, search, or similar). Experience in AI/ML systems and products, such as integrating models into production systems or building features powered by ML. Experience training machine learning models (e.g., for ranking, prediction, or personalization), even if you don't consider yourself a full-time ML engineer. Experience with ML and distributed compute frameworks such as Ray or similar tools. Experience partnering with data science or ML teams to productionize models (feature stores, offline/online parity, model deployment and monitoring). Experience with additional data technologies (e.g., Kafka, Kinesis, Redis, feature stores, or vector databases). Background in e-commerce, marketing tech, or consumer personalization products 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:$120,000—$180,000 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 Our Client A fast growing standards and insurance startup based in San Francisco, they have raised 15 million dollars in funding and are reinventing how enterprises adopt AI agents. Their two pronged model, which includes creating the industry’s first AI agent standard and pairing it with bespoke insurance coverage, gives AI companies a trusted pathway to certify their agents and reduces enterprise risk. By helping AI vendors earn credible certification and providing insurance protection against failures such as hallucinations, data leaks, or control breakdowns, they enable enterprise buyers to deploy AI with confidence rather than fear. With deep expertise in AI risk, insurance, and standards, they are building the essential “confidence infrastructure” that will support safe AI scale up. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead end-to-end development of AI agent products and infrastructure, collaborating closely with the founding team. * Build and scale evaluation pipelines to detect AI agent failures in deployment (e.g., hallucinations, jailbreaks, brand risks, data leakage). * Design and implement the gold standard for secure, safe, and reliable AI agents. * Develop and maintain full-stack systems, including backend (Python, LangChain) and frontend (React, TypeScript) components. * Create monitoring tools, filters, and authorization frameworks to support AI agent builders. * Work on-site in San Francisco, contributing to a fast-paced, high-agency startup environment. * Ship products frequently, gather user feedback, and iterate rapidly to improve reliability and safety of AI systems. Qualifications * Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. * 1+ years of experience as an AI Software Engineer with active coding responsibilities. * Proven expertise developing AI agents and LLM-based systems (e.g., published research or work in a leading AI team). * Founding or early-stage startup experience, with demonstrated ability to own end-to-end product development. * Strong understanding of AI evaluation methodologies and deployment reliability standards. * Excellent problem-solving and communication skills with the ability to articulate technical impact in business terms. * Evidence of high agency, ownership, and execution velocity (e.g., promotions in <2 years, side projects, or rapid iteration). * Can work full-time on-site in San Francisco (5 days a week).

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. AI Platform Engineer 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 AI Platform Engineer, you'll play a key role in designing and scaling the backend systems that power our AI products and agent solutions. This backend-heavy role gives you opportunities to influence architecture, async processing, and distributed systems. You'll collaborate closely with product managers, ML engineers, and data scientists to deliver real-world impact at scale. This role is hybrid and based in Boston. What You'll Do • Design and build backend systems to scale AI solutions for 167K+ customers., • Contribute to our agentic architecture to support performant AI agents., • Build tools to tune LLM-based features, deploy agents, MCP and RAG in production, and evaluate performance using tools like Arize, OpenAI, Bedrock, LangChain, vLLM and Ray., • Develop reliable, scalable data pipelines and APIs for AI systems. We encourage candidates to apply even if they do not meet all the qualifications listed. AI Ops is a rapidly evolving space and we are all constantly learning! • 3+ years of experience as a backend software engineer, building scalable, distributed systems., • Experience working in production environments., • Hands-on experience with generative AI and agentic AI applications in production., • Proficient in Python (or similar)., • Comfortable collaborating with cross-functional technical partners., • Experience with big data tools (e.g., Apache Spark, Ray)., • Familiarity with cloud infrastructure (AWS, Terraform, Kubernetes). 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:$120,000—$180,000 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 careers.klaviyo.com to see how we empower creators to own their own destiny. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last. Klaviyo operates a real-time data platform coded in Python built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines. Team Overview: DevX is a hybrid product–platform team focused on empowering external developers and partners by supporting applications they build on top of Klaviyo's Public APIs and features. Examples of these areas of ownership include: • our Application directory, which is used to promote and allow Klaviyo customers to discover applications that they can enable for their account, • the self-serve application process for a Partner to submit an Application and the ability for Klaviyo staff to review and approve an Application, • API Analytics is a system used by developers and partners to diagnose issues in their applications and understand their API usage. It is powered by a near real–time data pipeline that processes over 160,000 events per second. You will have an opportunity to make a major impact on the direction and priorities of the team. As an engineer on this team, you will work on Klaviyo's app marketplace, application publishing workflows, and the developer-facing tools and systems that support our app ecosystem. Additional responsibilities include providing quality PR reviews for our code-owned areas of the application, collaborating with product owners and providing technical expertise on upcoming Product Specifications, and participating in the definition of well-defined, estimated, and planned scopes of work. Required Skills: • 3-5+ years of experience in a software engineering discipline, • Experience with full stack application development, • Experience working with both monolithic and microservices architectures, • Experience with CI/CD pipelines, • Python, • Django REST Framework, Django, fastAPI, • React, React Query, • MySQL / postgreSQL, • DocumentDB, • Clickhouse, • JSON Forms, • Redis, • Memcached, • Experience working with Service Oriented Architecture (preferably in Python) 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:$120,000—$180,000 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 Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Principal Software Engineer to join our Xometry Partner Experience Technology Organization. In this role as a senior individual contributor, you will guide software implementation across several engineering teams and influence decisions across our technology organization. You will bring deep expertise and technical leadership to help us build fast, reliable, and intuitive solutions that empower our partners – enabling them to more easily manage jobs, streamline operations, and maximize their growth potential within our manufacturing marketplace. Responsibilities: • Hands-On Technical Leadership: Your primary role is writing and reviewing architectural plans for new projects, and then participating in implementation with the team., • Guide Innovation: Champion the adoption of a good mix of traditional and cutting-edge technologies and methods. You have the experience to guide us out of "our way" of doing things when needed, and to double down on our existing tech and methods where appropriate., • Teaching & Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills., • Code Review: You will do code review and mentor others within the organization to perform good code reviews., • Operational Excellence: Guarantee the delivery of superior software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines., • 10+ years of professional software development experience in a fast-paced, product-driven environment., • Marketplace product experience is highly desirable, with an understanding of scaling multi-sided platforms., • Strong technical expertise in full-stack development, including:, • Backend development with Python (services, APIs, data-driven systems)., • Backend microservices and REST API design using Node.js., • Frontend development with React and TypeScript, with a focus on scalable UI design and usability., • Experience with AWS is required, including deploying, monitoring, and scaling production workloads., • Proven leadership skills, with the ability to set technical direction, mentor engineers across levels, and influence product and business decisions., • Excellent communication and collaboration abilities, comfortable engaging with both technical and non-technical stakeholders, from junior ICs to executives. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job Description About Vizgen Vizgen is a rapidly growing company that has commercialized the next generation of single cell spatial genomics tools that enable researchers to gain new insight into the biological systems that underlie human health and disease. The company's groundbreaking MERSCOPE product utilizes MERFISH spatial transcriptomics technology to image RNA molecules with high accuracy and unrivaled detection efficiency at subcellular resolution. MERFISH provides transformative insight into a wide range of tissue-scale basic research and translational medicine in oncology, immunology, neuroscience, infectious disease, developmental biology, and regenerative medicine. For more information, go to The Role We are seeking a Senior Cloud Software Engineer to help build and operate the software ecosystem behind Vizgen’s spatial genomics technology. This individual will be responsible for developing high-quality, maintainable software and ensuring its reliable deployment via modern DevOps practices. The role blends hands-on cloud engineering with close collaboration across software, hardware, wet lab, and field support teams to deliver tools that scientists and customers depend on every day. Responsibilities • Architect, build, and deploy efficient, robust, and maintainablecloud-based services, • Implement new capabilities across Vizgen’s cloud, instrument-adjacent, and customer-facing software systems., • OwnIaC-based deployments, CI/CD automation, environment management, and operational stability, • Identify, diagnose, and resolve issues across AWS-based services and operational workflows to ensure reliable system behavior and excellent user experience., • BS/MS in Computer Science, Engineering, or equivalent professional experience, • Strong programming skills in Python, including writing production-quality backend code, • Experience building applications that leverage AWS managed services (e.g., Lambda, AppSync, API Gateway, S3, Cognito, DynamoDB, RDS), • Experience withinfrastructure-as-codetools and cloud deployment workflows (e.g., Terraform, CDK, Pulumi, or SST), • Ability to write effective SQL queries for relational databases (e.g., PostgreSQL), • Solid understanding of authentication and authorization concepts (Cognito, OAuth2/OIDC, JWT, IAM policies), • Strong Linux command-line skills for day-to-day development, debugging, and operations, • Effective communication skills and ability to collaborate across software, scientific, and hardware teams, • Familiarity with Type Script and its use inIaC (e.g., CDK/SST) or AppSync resolver workflows, • Experience with Reactor other modern front-end frameworks sufficient to support and troubleshoot customer-facing SPAs, • Experience with CI/CD tools (GitHub Actions, Code Build, or similar) and Git best practices, • Familiarity with PL/pgSQL or procedural SQL languages (not required), • Exposure to cloud cost optimization and efficient cloud architecture, • Experience working in a product development environment, • Familiarity with genomics, spatial biology, or laboratory work WE ARE AN EQUAL OPPORTUNITY/AFFIRMATIVE ACTION EMPLOYER. Vizgen affords equal employment opportunity to all qualified persons regardless of race, color, religious creed, national origin, age, military status, sexual orientation, disability, genetic information, gender identity, gender expression or gender unless based upon a bona fide occupational qualification.

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. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last. Klaviyo operates a real-time data platform built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines. Responsibilities The Data Automation team builds tooling that helps our Data Platform engineers provision and test infrastructure to power core Klaviyo functionality and generate data-driven insights. As an engineer on this team, you will be responsible for designing, building, and maintaining systems that help us operate our mission critical analytics infrastructure. You will work with a cross functional team to help design systems, create infrastructure, write high quality code, and operate large scale systems in a production environment. Team Tech Stack • AWS, • Python, • Terraform, • Kubernetes, • Clickhouse, • DynamoDB, • MySQL, • Kafka, • Spark, • Flink, • Iceberg, • AirflowRequired Skills, • Degree or equivalent experience in a software engineering discipline, • Proficient in using at least one modern programming language, • Able to communicate well, • Able to work with others on a team, • Able to learn continuously and adapt to a high growth environment, • Able to stick with and solve difficult problems, • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.Preferred Skills, • Experience designing, building, and operating distributed systems in a cloud computing environment, • Experience provisioning infrastructure using Terraform or a similar infrastructure as code tool, • Experience performance tuning and scaling systems, • Experience with OLTP and OLAP databases, • Experience with high volume data processing and storage systems, • Experience using Linux operating systems We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$120,000—$180,000 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 Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior Software Engineer to join our software engineering organization. In this role, you'll work as part of a skilled, collaborative team to build and maintain solutions for the Post Order/Order Management team. You will play a crucial role in the Xometry platform, ensuring the reliability, scalability, and security of our services. Responsibilities: • Software Development – Design, code, test, and release software across the stack, • Infrastructure & DevOps – Configure, optimize, and troubleshoot CI/CD pipelines and infrastructure-as-code (IaC), • Cloud Engineering – Build and maintain scalable, event-driven architectures using AWS services, • Observability & Reliability – Own operational responsibility for team microservices, implementing monitoring, logging, and alerting best practices, • Collaboration – Work closely with engineers, product managers, and designers to deliver high-quality solutions, • On-Call Support – Participate in an on-call rotation for critical systems, • 5+ years of professional software development experience in a fast-paced, product-driven environment., • Marketplace product experience is highly desirable, with an understanding of scaling multi-sided platforms., • Strong technical expertise in full-stack development, including: • Backend development with Python (services, APIs, data-driven systems)., • Backend microservices and REST API design using Node.js., • Frontend development with React and TypeScript, with a focus on scalable UI design and usability. • Experience with AWS is required, including deploying, monitoring, and scaling production workloads., • Proven leadership skills, with the ability to set technical direction, mentor engineers across levels, and influence product and business decisions. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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. Why You Should Join the Billing Team: The Billing team at Klaviyo is at the heart of how we deliver value to our customers and drive revenue for the business. We're responsible for everything from pricing and payments to product entitlements. Our systems ensure customers are billed accurately and have access to the features they've selected. As Klaviyo expands globally and launches new product offerings, our team plays a pivotal role in enabling speed, flexibility, and scale across the company. As an Lead Software Engineer on this team, you'll lead a group of engineers focused on building internal platforms that empower teams across Klaviyo to self-serve product packaging, entitlements, and billing logic. You'll oversee work to build a pricing and packaging platform, and to build scalable infrastructure that supports international growth. This is a hands-on leadership role where you'll contribute to code, design, and strategy. Your work will directly enable faster product launches, better customer experiences, and improved business outcomes. How You Will Make a Difference: • Lead a team of engineers building a new internal pricing and billing platform, • Own Klaviyo's 3rd party payment and billing integrations and expand payment capabilities, • Build scalable systems to support international markets and payment flexibility, • Contribute directly to architecture and code, driving best practices and quality, • Collaborate with cross-functional teams to unlock product revenue opportunities, • Grow and mentor engineers while helping shape the future of billing at Klaviyo, • Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.Who You Are:, • 8+ years of engineering experience with strong backend skills (Python or similar), • Comfortable coding and reviewing complex systems — this is a hands-on role, • Experience with fullstack development (React familiarity is a plus), • Proven experience with third-party APIs, especially Stripe or payment systems, • Skilled in system design and scaling infrastructure using AWS, • Experience building developer platforms or internal tooling is a strong plus, • Clear communicator and collaborative team player, • 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.Technologies We Use:, • Python, Django, • React, TypeScript, • Stripe API, RESTful integrations, • AWS, Terraform, Redis, MySQL Location: This is a hybrid role based in Boston, with 3 days in office and 2 days remote per week. 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:$188,000—$282,000 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 careers.klaviyo.com to see how we empower creators to own their own destiny. Lead Site Reliability Engineering (SRE) is what you get when you treat system operations as a software engineering problem. The mission of the Site Reliability Engineering team is to ensure uninterrupted service for Klaviyo customers and act as a force multiplier for Klaviyo product teams to deliver better software faster. The SRE team builds foundational backend services as well as tooling and automation to allow product teams to release and scale their software reliably and predictably. Lead SREs are team players who embed themselves within product teams as needed to advance the architecture and performance of software systems and train their peers in topics such as debugging distributed systems, building self-healing applications and eking out every drop of performance possible. As a Lead Site Reliability Engineer, you will own the ways we solve problems for our customers, and make a big impact on the productivity of our product engineering teams. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at How You'll Make a Difference • Ship foundational services to enable Klaviyo engineering to move faster with confidence, • Design and develop systems and processes that enable highly available & scalable systems, • Uncover and advocate for preventative, upstream solutions with internal stakeholders, • Own the technical vision and roadmap for your area, working with stakeholders to solve pain points and deliver value to engineering, • Achieve break-throughs in systems throughput by identifying and eliminating bottlenecks, • Leverage technology such as Python, AWS, Django, Kubernetes, Bash, Terraform, MySQL, Redis, Postgresql to advance Klaviyo's platform, • Champion best practices by actively collaborating with other teams in a culture that values whiteboarding and technical design review, • Contribute to the company in multiple areas, constantly pushing yourself to be a better engineer and to level up all of your peers within your team and within Klaviyo., • Design, write and deliver software to dramatically improve the availability, scalability, latency, and efficiency of Klaviyo's services, • Participate in periodic on call duties with a focus on solving issues when they are discovered, preventing recurrences and minimizing alert fatigue, • Implement architectural improvements to achieve breakthrough results in Klaviyo systems' operational scalability and reliability., • Work hand-in-hand with product-facing engineers and other SREs to ship impactful code, • Perform quantitative analysis to understand and scale Klaviyo systems, • Solid 10+ years of experience in the SRE/Devops field, • BA or BS Degree in Computer Science, related field, or equivalent experience, • Ability to handle yourself in outage situations and to drive failures to root cause analysis and prevention of future issues, • Understanding of Linux (we run Ubuntu) and all layers of the networking stack, • Experience working on an engineering team building software, • Experience writing code using best practices in a language such as Python, Ruby, Go, etc., • 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. 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:$188,000—$282,000 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 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. Senior Software Engineer — Agentic AI Platform Location: Remote | Full-time | Competitive Compensation Apiphani is building the future of intelligent infrastructure automation through agentic AI. We're looking for a Senior Backend Engineer to help design and build the systems that power Luumen — an AI-driven automation platform used by enterprise IT and managed service providers around the world. This is a high-impact, zero-to-one engineering role focused on building the backend foundations for large-scale AI orchestration. You'll work on distributed systems that combine traditional infrastructure automation with large language models (LLMs), retrieval-augmented generation (RAG), and intelligent agents. What You'll Do • Design and implement backend services that enable intelligent agent workflows and autonomous infrastructure actions, • Develop APIs and orchestration layers in Python and TypeScript, integrating LLMs, vector databases, and observability pipelines, • Build scalable systems to support LLM-based reasoning, retrieval, and decision-making across cloud infrastructure, • Integrate with AWS Bedrock and other LLM platforms to support multi-model capabilities, • Develop data access and semantic search layers using vector databases (e.g., pgvector, Pinecone, Qdrant), • Build robust monitoring, testing, and CI/CD systems to ensure reliability and reproducibility of AI workflows, • Collaborate closely with the product and DevOps teams to design architecture diagrams, plan deployments, and monitor system health, • Write clean, maintainable code with clear documentation and strong adherence to security and performance best practices, • Participate in code reviews, design discussions, and iterative delivery cycles to improve product velocity and quality What We're Looking For • 6+ years of backend engineering experience in production environments, • Strong proficiency in Python and TypeScript for building distributed, event-driven systems, • Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.), • Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models, • Familiarity with vector databases and concepts like embeddings, similarity search, and retrieval-augmented generation, • Experience with infrastructure-as-code tools such as Terraform or AWS CDK, • Understanding of SQL and schema migration workflows (PostgreSQL or similar), • Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflows, • Ability to diagram systems, communicate architecture decisions clearly, and work asynchronously in a distributed team, • Strong sense of ownership and ability to deliver in fast-moving, ambiguous environments Bonus Points • Experience working with LangChain, OpenAI, or Anthropic APIs, • Familiarity with agentic frameworks or AI orchestration systems, • Background in observability or APM tooling (e.g., Datadog, Dynatrace), • Prior experience building automation or infrastructure management tools, • Contributions to open-source LLM or MLOps projects, • Interest in shaping how AI is applied to real-world IT operations Why Join Apiphani You'll be joining a globally distributed, high-performing team focused on redefining how enterprises manage infrastructure. Every feature you build will directly impact how engineers interact with intelligent systems in production environments. This is an opportunity to help architect the foundations of a platform that blends infrastructure automation, AI, and agentic reasoning — where your technical decisions will shape the next generation of enterprise operations. Base Salary$120,000—$160,000 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, • Parental Leave - up to 12 weeks

Job Description Owl Labs is seeking a highly skilled and experienced Audio Digital Signal Processing (DSP) Engineer to join our team. In this role, you will be responsible for designing, developing, and optimizing advanced audio signal processing algorithms for our cutting-edge communications and conferencing products. WHAT YOU'LL DO • Design and implement state-of-the-art audio signal processing algorithms for real-time communication systems, • Develop and optimize audio enhancement features such as noise reduction, echo cancellation, and voice activity detection using both analytic and AI techniques, • Collaborate with cross-functional teams to integrate audio processing solutions into our product ecosystem, • Conduct research on emerging audio technologies and recommend innovative solutions to improve product performance, • Bachelor's degree in Acoustics, Audio Engineering, Electrical Engineering, or related field (Masters preferred)EXPERIENCE, • 5+ years of experience in DSP and audio signal processing, preferably in the conferencing, communications, and/or pro audio industry, • Strong expertise in digital signal processing techniques, particularly those applicable to voice and audio, • Proficiency in MATLAB, Python, C/C++ programming and optimization for embedded systems, • Experience with audio coding standards and wireless audio technologiesSKILLS, • Experience with real-time audio processing and low-latency systems, • Familiarity with audio codecs, internet audio protocols, and relevant industry standards, • Demonstrated ability to translate complex mathematical concepts into efficient, production-ready code, • Excellent problem-solving and analytical skills, • Passion for creating high-quality, innovative audio solutions, • Adaptability to rapidly changing technology landscapes, • Strong communication abilities, both written and verbal, • Ability to work independently and as part of a collaborative team, • Fully paid medical, Dental, and Vision Insurance for you and your dependents, • Unlimited PTO, • Generous Parental Leave, • Work From Home Stipend, • Commuter Benefit, • Flexibility to work remotely or in a hybrid setting (based on location) Our award-winning product, the Meeting Owl Pro, was named one of TIME magazine's 100 Best Inventions of 2020 and has been recognized by CES Innovation Awards 2020, Red Dot Design Awards 2020, SXSW Innovation Awards 2020. Our team was recognized as an Inc. Best Workplaces 2020 and 2021 and named on the esteemed Inc.'s Editor's List.

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. Lead AI Engineer At Klaviyo, we believe the future of software lies not in productivity tools for human users but in systems that can learn, run, and optimize themselves based on measurable outcomes. We've built the infrastructure and applications that power the interface between businesses and consumers — supporting over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer interactions. Now, we're building the next generation of AI and machine learning technologies to power these products — enabling AI agents that can automatically create, execute, and optimize marketing and customer experience strategies for any business. As a Lead AI Engineer, you'll take ownership of designing, building, and scaling the backend and machine learning systems that form the foundation of Klaviyo's AI strategy. You'll partner closely with product managers, data scientists, and engineers to deliver intelligent, outcome-driven systems that operate at massive scale — while mentoring others and setting technical direction for the team. How You Will Make a Difference • Lead the design and development of backend and ML systems that scale to serve 167K+ customers., • Build robust, reliable, and efficient data processing and model-serving pipelines that power production ML models., • Develop and optimize predictive systems (e.g., conversion likelihood, engagement ranking, personalization, anomaly detection)., • Architect systems and services that enable our AI agents to learn and improve autonomously from reward or outcome signals., • Collaborate cross-functionally to translate business challenges into scalable, measurable ML solutions., • Collaborate with software engineers and product managers to turn predictive models into intuitive product features for our customers., • Mentor engineers and help evolve Klaviyo's ML engineering best practices, tooling, and architecture., • Foster a culture of ownership, experimentation, and data-driven innovation across teams. Who You Are • 7–10 years of experience in machine learning engineering or applied software engineering, with a focus on classical ML and predictive modeling., • Deep understanding of supervised learning methods such as random forests, XGBoost, logistic regression, and ensemble techniques., • Proven track record of building and scaling production-grade ML systems end to end (data pipelines, training, deployment, and monitoring)., • Experienced backend engineer comfortable with distributed systems and high-scale architectures., • Proficient in Python and modern frameworks (FastAPI, Django preferred)., • Skilled with big data and streaming technologies (Apache Spark, Kafka, Hadoop)., • Hands-on with asynchronous processing and distributed task queues (Celery, SQS, RabbitMQ, Redis)., • Strong understanding of databases and ORMs (SQLAlchemy, Alembic) and cloud-native architectures (AWS, Kubernetes, CI/CD)., • Excellent communicator who can set technical direction, influence product strategy, and mentor junior engineers., • Curious, pragmatic, and passionate about building AI systems that drive measurable business impact. Nice to Have • Experience training and deploying ML models in production environments that generated measurable impact., • Familiarity with reinforcement learning or agentic AI systems that adapt based on outcome or reward signals. 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:$188,000—$282,000 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).

A leading software company is seeking a Senior Python Backend Engineer to develop backend services that power next-generation applications. This full-time, onsite role in Boston requires strong Python expertise and experience in building scalable systems.

Minimum of 5 years of full life cycle backend development experience, preferably with Python.

A leading financial technology firm is seeking a Senior Software Engineer for back-end development in a remote setting.The successful candidate will collaborate within Agile teams to solve complex business problems, utilizing programming languages such as Java, Python, and SQL, alongside AWS and var

A leading cryptocurrency platform in Boston is seeking a Software Engineer to boost their Core Automation Team.You will explore advanced GenAI techniques, lead project execution, and write code in Python and Golang.The ideal candidate has over 5 years of software engineering experience, especially i

A leading advertisement technology firm is seeking a Software Developer with expertise in Python and Pandas.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation, • Work on building the most human sounding AI speech model in the worldAn Ideal Candidate Should Have, • Experience with research and development in NLP or TTS or CV with a focus on image generation., • Experience in ML, • Preferred:, • Experience deploying NLP or TTS models to production at a large scale, • Experience managing engineers and growing a research & development team, • A fast-growing environment where you can help shape the culture, • An entrepreneurial crew that supports risk, intuition, and hustle, • A hands-off approach so you can focus and do your best work, • The opportunity to make an impact in a transformative industry Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Backend Development (Python, APIs, Data Integration).

A full-time DevOps Architect & Team Lead role is available in Boston, MA (hybrid onsite) for an organization modernizing and scaling a cloud-native SaaS platform.This position is ideal for someone who enjoys shaping DevOps strategy while staying hands-on with AWS, CI/CD, automation, GitHub, Terrafor

Job Description MERL is looking for a self-motivated intern to work on visual-LiDAR/point cloud fused object detection and recognition using computer vision. The relevant topics in the scope include (but not limited to): open-vocabulary or auto-vocabulary visual-LiDAR/point cloud object detection and recognition, domain adaptation or generalization in visual-LiDAR/point cloud object detection, data-efficient methods for visual-LiDAR/point cloud object detection, small object detection with visual-LiDAR/point cloud input, etc. The candidates with experiences of object recognition in LiDAR/point cloud are strongly preferred. The ideal candidate would be a PhD student with a strong background in computer vision and machine learning, and the candidate is expected to have published at least one paper in a top-tier computer vision, machine learning, or artificial intelligence venues, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI. Proficiency in Python programming and familiarity in at least one deep learning framework are necessary. The ideal candidate is required to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The duration of the internship is ideally to be at least 3 months with a flexible start date. Required Specific Experience Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

We are looking for a highly skilled.The ideal candidate will design, develop, and optimize scalable applications and APIs, while driving automation and performance across modern cloud‑based environments.Deploy, manage, and monitor applications using.Lambda, ECS, EKS, EC2, S3, API Gateway, DynamoDB

Job Description Job Title: STEM Teacher General Responsibilities: Under the supervision of the Director of Educational Development, plans and facilitates collaborative STEM learning sessions. Major Duties: • Meets regularly with the Director of Educational Development, • Plans and facilitates learning sessions, • Assists students in the development of computer science, coding, and digtial arts skills, • Maintains consistent communication the Director of Educational Development, • Models appropriate academic and social behaviors, • Ability to work with students of diverse ethnic backgrounds, academic profiles, and skill levels., • Possess good interpersonal and organizational skills., • Must demonstrate responsibility, a desire to help others, discretion, and flexibility., • Knowledge and ability to instruct students in coding languages such as Scratch, Blockly, Swift, and Python., • Ability to instruct students in Robotics using coding languages., • Ability to instruct students on how to use digital video editing skills to create promotional videos., • Ability to collect and analyze data to drive future instruction., • Ability to work independently applying critical thinking skills and problem solving to various situations., • Must be able to instruct students of varying skill and experience levels in multiple programs based on interest and ability. Qualifications: Must possess a bachelor's degree, teaching and/or tutoring experience, and have extensive computer science and/or coding experience.

Job DescriptionDescriptionOPENING DATE: December 2, 2025 CLOSING DATE: December 31, 2025 SERIES/GRADE: IS-2210-11/12* TYPE OF POSITION: Trust Indefinite (Non-Federal) DIVISION: High Energy Astrophysics LOCATION: Cambridge, MA AREA OF CONSIDERATION: All current qualified candidates *This is a career ladder opportunity with promotion potential up to grade 13. Selection for this position to be made at the grade 11 level, or grade 12 level. Candidates may be non-competitively promoted to the next grade level, up to grade 13, upon the recommendation of the supervisor based on classification requirements, satisfactory performance, and qualifications of the employee. What are Trust Fund Positions?Trust Fund positions are unique to the Smithsonian. They are paid for from a variety of sources, including the Smithsonian endowment, revenue from our business activities, donations, grants and contracts. Trust employees are not part of the civil service, nor does trust fund employment lead to Federal status. The salary ranges for trust positions are generally the same as for federal positions and in many cases trust and federal employees work side by side. Trust employees have their own benefit program, which may include Health, Dental & Vision Insurance, Life Insurance, Transit/Commuter Benefits, Accidental Death and Dismemberment Insurance, Annual and Sick Leave, Family Friendly Leave, 403b Retirement Plan, Discounts for Smithsonian Memberships, Museum Stores and Restaurants, Credit Union, Smithsonian Early Enrichment Center (Childcare), Flexible Spending Account (Health & Dependent Care). 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 The Information Technology Specialist (Configuration Management Specialist) is responsible for extending and maintaining the software configuration management infrastructure for the Chandra X-ray Observatory and to support the release and build cycles of the software team that supports the mission. This includes working with the existing configuration management team to modernize system infrastructure and procedures, maintain software development utilities, configure and deploy releases, and support the software system through all phases of the software development cycle MAJOR DUTIES Function as part of a team to maintain and improve the Data System internal software build, test, and deployment infrastructure. Develop and maintain scripts, operational procedures, and internal documents following the software development lifecycle: requirements generation, design, code, verification and test, and maintenance; Generate all documentation according to Data System guidelines. Monitor automated build and test pipelines/infrastructure routinely and for new releases. Validate the results and provide solutions when errors are encountered. Actively coordinate with the software team when the responsibility for solutions falls to them. Build and deploy software releases; Coordinate configuration of test and release platforms with the system group; manage the deployment of software releases as part of the team. Perform a regular inventory of 3rd party software with dependencies in the Data System (OTS, COTS, AOTS). Monitor and manage system infrastructure (OS, compiler, libraries) and licenses (JetBrains, Atlassian, GitLab) for the Data System. Coordinate upgrades that fit into the overall goals and schedule and perform those upgrades as part of an overall data system schedule and plan in coordination with the CM lead and supervisor. Provide support to the software development team with portability, configuration, and compilation issues; Mentor team members, respond to problem reports, and use available systems (i.e., Jira) to record and monitor issues. Grade 12 In addition to the duties listed above, duties at the grade 12 may include but are not limited to: Recommend and coordinate upgrades that fit into the overall goals and schedules and perform those upgrades as part of an overall data system schedule and plan in coordination with the CM leader and supervisor. QUALIFICATION REQUIREMENTS For all positions, individuals must have IT-related experience demonstrating each of the four competencies listed below. • Attention to Detail - Is thorough when performing work and conscientious about attending to detail., • Customer Service - Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations ;knows about available products and services; is committed to providing quality products and services., • Oral Communication - Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately., • Problem Solving - Identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations.AND Candidates for grade 11 must possess a minimum of one year of specialized experience equivalent to at least the grade 9 in the normal line of progression for this occupation. Specialized experience is experience that has equipped the applicant with the particular competencies/knowledge, skills, and abilities to successfully perform the duties of the position such as developing and maintaining CM scripts, operational procedures, and internal documentation. Candidates for grade 12 must possess a minimum of one year of specialized experience equivalent to at least the grade 11 in the normal line of progression for this occupation. Specialized experience is experience that has equipped the applicant with the particular competencies/knowledge, skills, and abilities to successfully perform the duties of the position such as managing the configuration and licenses of various software development tools. OR Education: All academic degrees and coursework must be from accredited or pre-accredited institutions. Undergraduate or Graduate Education: Degree in computer science, engineering, information science, information systems management, mathematics, operations research, statistics, or technology management or degree that provided a minimum of 24 semester hours in one or more of the fields identified above and required the development or adaptation of applications, systems or networks. Grade 11: Ph.D. or equivalent doctoral degree or 3 full years of progressively higher level graduate education leading to a Ph.D. or equivalent doctoral degree. Grade 12: There is no education substitution. Knowledge, Skills, and Abilities required:• Knowledge of and the ability to configure and utilize distributed version control systems (e.g., Git) • Knowledge of and the ability to utilize scripting languages (e.g., Python, Bash) and Unix based operating systems, • Knowledge of and ability to utilize and manage software support tools (e.g., Atlassian products such as Jira/Confluence)., • Skill in organizing and utilizing continuous integration environments (e.g., gitlab, github actions) and containers (eg., podman, docker), • Skill in organizing and utilizing package managers (e.g., conda, pip) 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. Relocation expenses are not paid. 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. Please visit the SAO website at

Job DescriptionAbout Merlin: Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world’s leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation’s biggest challenges. About You: You’re a computer vision specialist who loves turning raw sensor data into actionable insights. You thrive at the intersection of algorithms, hardware, and real-world deployment—designing systems that can see, understand, and interact with the physical world. You’re comfortable moving between high-level model development and low-level camera calibration, and you take pride in building robust solutions that work reliably outside the lab. Responsibilities: • Develop and implement object detection and identification algorithms for real-time applications., • Design and optimize depth sensing and 3D mapping pipelines, integrating data from cameras and other sensors., • Specify, configure, and calibrate camera systems, including selection of optics, sensors, and hardware., • Develop tools and processes for camera calibration, synchronization, and data acquisition., • Fuse data from multiple cameras/sensors to improve accuracy and robustness in perception systems., • Collaborate with robotics, controls, and systems engineers to integrate computer vision into robotic platforms., • Conduct experiments, evaluate performance, and refine algorithms for accuracy, efficiency, and scalability.Qualifications:, • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field., • Strong experience with computer vision algorithms (object detection, tracking, identification, SLAM)., • Proficiency in depth sensing and 3D reconstruction techniques (stereo vision, structured light, ToF, LiDAR integration)., • Hands-on experience with camera setup, specification, and calibration (intrinsic/extrinsic, distortion models, multi-camera rigs)., • Proficiency with computer vision libraries and frameworks (OpenCV, PyTorch/TensorFlow, CUDA)., • Experience developing in C++ and/or Python for high-performance vision applications., • Strong understanding of camera hardware and imaging pipelines., • Ability to design experiments, analyze results, and iterate quickly in a collaborative engineering environment.Nice to Haves:, • Experience with ROS/ROS2 integration for robotic vision., • Familiarity with real-time embedded systems or GPU optimization., • Knowledge of multi-sensor fusion (IMU, LiDAR, radar) for perception.

Job Description The Computational Sensing Team at MERL is seeking an intern to work with MERL researchers on algorithms based on interacting particle systems for solving inverse problems. The focus of the project is particle-efficiency and applicability to non-log-concave posterior distributions (which may result from nonlinear forward operators). The project includes algorithm design, (finite-particle) convergence analysis, and/or empirical evaluation for challenging inverse problems such as full waveform inversion. The ideal candidate would be a PhD student with a solid background in applied probability or Bayesian sampling. Programming skills in Python or MATLAB are required. The duration is anticipated to be at least 3 months with a flexible start date. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job Description Job Title: Web Application Development, Web Application Engineering Adjunct Instructor Supervisor’s Title: Director of Academics/Academic Dean/Program Manager Department: Academics Schedule: Web Application Development, Web Application Engineering Instructor will teach the following courses: • User Interface Design, • Introduction to Programming, • Web Application Development, • Database Administration, • Application Server Administration, • Software Development Lifecycle, • Web Security and Privacy, • Advanced JavaScript The instructor will be responsible for planning and delivering in-class instruction with approved curriculum. Essential Job Duties & Responsibilities: • Teach up to 27.5 hours week., • Prepare lesson plans for each class session., • Deliver lectures and facilitate Project-Based Learning (PBL) on various business-related topics., • Assist students in the learning process., • Evaluate and monitor student progress through the use of various assessment tools., • Keep necessary records to report Satisfactory Academic Progress (SAP) to the Academic Dean., • Attend and participate in quarterly campus-wide instructor in-service meetings as required. Stay well-informed with the advancements in teaching by attending professional development activities outside of CSI., • Organize and lead field outings for student enrichment once per module., • Actively contribute to program improvement through the use of committee involvements., • Provide support through academic advising to ensure student growth and retention., • Additional tasks as needed. Education and Experience: • Bachelor’s degree or higher in a field of study related to computer and information science, web development, user interface design, programming or similar fields., • Five years or more of industry related experience preferred., • Five years of practical experience with HTML, CSS, and JavaScript., • Three years or more of experience using Python programming language and Django framework., • Three year of experience in Database administration and SQL language., • Good understanding of Software Project Management procedures and documentation., • Three years of experience using iterative lifecycle models (Agile), • Three years of experience using Application Servers and containers., • Familiarity with cyber security basics. Physical Requirements: While performing the duties of this job, the instructor is regularly required to stand; walk; sit; use hands to finger, handle, or feel; reach with hands and arms; talk and hear. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment: Normal office working conditions. The noise level in the work environment is usually moderate. Benefits Offered

Job DescriptionWHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance. We are seeking a Staff Machine Learning Engineer to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members.RESPONSIBILITIES: • Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data., • Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities., • Develop scalable, distributed training pipelines for large models on high-performance compute environments., • Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability., • Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value., • Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP., • Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration., • Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI.QUALIFICATIONS:, • Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience., • 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems., • Expertise in modern deep learning (e.g., transformers, state space models) and multimodal model training., • Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)., • Experience building and scaling large datasets and training large models in distributed compute environments., • Strong applied experience with representation learning, self-supervised methods, and fine-tuning for downstream applications., • Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute., • Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams.

Job Description MERL is looking for a self-motivated intern to work on anomaly localization in industrial inspection setting using computer vision. The relevant topics in the scope include (but not limited to): cross-view image anomaly localization, how to train one model for multiple views and defect types, how to incorporate large foundation models in image anomaly localization, etc. The candidates with experiences of image anomaly localization in industrial inspection settings (e.g., MVTec-AD or VisA datasets) and usage of large foundation models are strongly preferred. The ideal candidate would be a PhD student with a strong background in computer vision and machine learning, and the candidate is expected to have published at least one paper in a top-tier computer vision, machine learning, or artificial intelligence venues, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI. Proficiency in Python programming and familiarity in at least one deep learning framework are necessary. The ideal candidate is required to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The duration of the internship is ideally to be at least 3 months with a flexible start date. Required Specific Experience Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job DescriptionPlease feel free to send your resume directly to Rekhu Chhetri, Sr. Recruiter, YOH-Day & Zimmerman Inc. LinkedIn profile: Title: IT Desktop Support Specialist Location: Boston, MA ( Onsite 5 days/week) Type: Direct Hire/Full Time Description: The ideal candidate will have 7+ years of relevant experience in a customer-facing role with a strong track record of achievement and demonstrated technical leadership and mentorship capability. The candidate will have the right experience and skills, including but not limited to: • Strong scripting and automation experience (PowerShell, Bash, or Python)., • Deep expertise in Microsoft 365 (Outlook, Teams, SharePoint, Intune, OneDrive), Azure AD, and Windows 11., • Proficiency with Windows and mobile device management (Intune)., • Familiarity with networking fundamentals (VPN, DNS, DHCP, switches, and wireless troubleshooting)., • Experience supporting AV/conference room technologies (Zoom, Cisco, Crestron)., • Familiarity with endpoint security and management tools (Defender for Endpoint, CrowdStrike, SentinelOne)., • Experience with monitoring and deployment tools such as Microsoft Endpoint Analytics, Autopilot, SCCM, Datadog, or LogicMonitor., • Excellent communication and problem-solving skills, with the ability to clearly explain complex technical topics., • Customer-focused approach with exceptional attention to detail and follow-through., • Proven reliability, accountability, and ability to work independently within a global team structure., • Experience mentoring or providing technical guidance to other support staff. Preferred: • Advanced PowerShell scripting for automation of M365, Intune, and Azure AD tasks., • Familiarity with API integrations, workflow automation, and version control (Git/GitHub)., • Experience with endpoint and identity management (Conditional Access, MFA, Azure AD roles)., • Certifications such as:, • Microsoft Certified: Endpoint Administrator Associate (MD-102), • Microsoft Certified: Azure Administrator (AZ-104), • ITIL v4 Foundation, • CompTIA Network+ or Security+, • Microsoft Certified: Power Automate RPA Developer Associate (preferred but not required), • Experience within the Financial Services Industry Estimated Min Rate: $59500.00 Estimated Max Rate: $85000.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. 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. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: Company DescriptionFounded in 1940, Yoh operates from 75 locations throughout North America and is headquartered in Philadelphia, PA. Yoh was the nation’s first technology staffing firm. As a business unit of Day & Zimmermann, Yoh has a flourishing global footprint, as our parent company operates from more than 150 worldwide locations. Company Website: in 1940, Yoh operates from 75 locations throughout North America and is headquartered in Philadelphia, PA. Yoh was the nation’s first technology staffing firm. As a business unit of Day & Zimmermann, Yoh has a flourishing global footprint, as our parent company operates from more than 150 worldwide locations.\r\nCompany Website:

Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are looking for a highly skilled Senior Software Engineer to join our MLOps team, focusing on the development and optimization of ML cloud infrastructure. In this role, you will play a critical part in supporting our Data Science and AI teams by building robust, scalable systems for the productionalization of machine learning models. Your work will be at the heart of bringing advanced AI solutions into production, ensuring they are reliable, scalable, and ready to drive value across WHOOP.RESPONSIBILITIES: • Design, develop, and maintain cloud-based infrastructure to support the deployment and scaling of machine learning models. Implement automated pipelines for continuous integration and continuous deployment (CI/CD) of ML models, ensuring seamless transitions from development to production environments., • Collaborate closely with Data Scientists and AI teams to understand model requirements and facilitate the transition from prototype to production., • Develop APIs, microservices, and other components necessary to integrate ML models into existing systems, enabling real-time inference and decision-making., • Leverage cloud services to optimize the deployment and performance of machine learning models and associated infrastructure. Utilize services such as AWS SageMaker, Lambda, and ECS to build scalable, cost-effective solutions that support real-time ML/AI workloads., • Monitor and optimize the performance of ML models in production, addressing issues related to latency, scalability, and resource utilization., • Act as a key technical partner to Data Scientists, providing guidance on best practices for model deployment, versioning, and infrastructure design., • Support AI teams by troubleshooting and resolving technical challenges related to model deployment and performance in production., • Stay up-to-date with the latest advancements in ML infrastructure, cloud computing, and AI deployment strategies. Proactively suggest and implement improvements to enhance the efficiency, reliability, and scalability of ML operations within the organization.QUALIFICATIONS:, • Bachelor’s Degree: A degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience., • 5+ years of experience in software engineering, with a significant focus on building and maintaining ML infrastructure in cloud environments., • Deep expertise in AWS services, including but not limited to SageMaker, Lambda, ECS, S3, and IAM, with the ability to design and optimize cloud-based ML infrastructure., • Strong programming skills in languages such as Python or Java, with a focus on building robust, maintainable code., • Proven experience in productionalizing ML models, including building APIs and services that enable real-time inference., • Expertise in designing scalable, resilient cloud architectures that support large-scale ML operations.Strong understanding of microservices, distributed systems, and the challenges of deploying and maintaining ML models in production environments., • Excellent collaboration skills, with the ability to work closely with Data Scientists, AI and Software teams, and other cross-functional stakeholders.

Job DescriptionYPP STEM Literacy Instructor The Young People's Project (YPP) is on a mission to change the landscape of who participates in the learning and teaching of STEM education in Boston, Cambridge and Somerville Massachusetts. YPP is committed to working with populations of students who have historically been on the bottom, especially in STEM. YPP understands that part of the solution to the problem of improving STEM education access and outcomes for populations of students who are being left behind lies within the students themselves, who we view as valuable assets. YPP has over 20 years of experience engaging and employing young people to work out of school to learn math well enough to teach, lead, and organize math literacy for their younger peers. Relevance of the Position: The purpose of a STEM Literacy Instructor is to guide and mentor a team of High School Math Literacy Workers (MLWs) through ongoing support, math and CS workshops, planning, and debrief sessions that will help them in their personal and professional development as learners, teachers, leaders, and organizers. This work is at the frontier of STEM education in the country in that, by tapping into the energy of young people and the inherent influence they possess over one another, it seeks to provide a meaningful approach to the need in the country for quality math and computer science (CS) instruction for all children and particularly bottom quartile children. If you are interested in STEM, particularly Computer Science, and are looking for ways to make a difference in your community, then this may be the role for you. We expect the STEM Literacy Instructor to grow and develop so that they will: • Help to build a safe, inviting, challenging, respectful and engaging learning environment and culture in the classroom;, • Build meaningful professional relationships with the students, teacher, and YPP staff;, • Help students develop the thinking, communication, problem-solving, management, inquiry, team-building, and interpersonal skills they will need to become successful in school and in life; Major Responsibilities: Candidates with many of the following skills and attributes will do well in this role: • Ability to learn from, teach and co-lead a classroom of 20 in STEM related content, • Comfortable with coding, research and development, • To understand that the way you might solve a problem might not be the best solution, • To believe, trust, and act on the suggestions of your students, • Strong presentation/communication of curriculum measured by observation, • Demonstrates Patience and Professionalism, • Shows interest in the lives and well being of all students, • Excellent interpersonal, communication, problem solving, multi-tasking, and leadership skills, and the ability to independently accomplish responsibilities as a member of multidisciplinary team, • Open to all opinions, varying views and questions, • Understand the institutional obstacles and barriers facing the students in the schools and communities you will work, • Understand and be able to articulate YPP Mission, History, and Purpose of Math Literacy work, • Ensuring Students are learning and mastering the materials, • Meeting with other staff to coordinate the flow of the day, lesson plan, turn in lesson plans on time to get feedback and make adjustments before any outreach, • Documenting where students need help and which skills need work, • Have continued and timely communication with other instructors and Coordinator, • Take notes during the session so you can add it to skills needed to work on with MLWs, • Conduct and document one-on-ones and make that information available to Director, • Foster an effective relationship with MLWs, • Ensure that attendance and other data collection is tracked and documented constantly and regularly Basic Qualifications • Between age 19-27 or enrolled at a Boston area college/university, • Experience in Python or other Object-Oriented Programming languages, • Comfortable with giving presentations, • Comfortable with instructing in urban schools, • Openness to learning a "New Way to Teach", • Loves to design, act and revise

Job DescriptionISEE is seeking a full-time Robotics Engineer to join our team. The ideal candidate has several years of experience gained by working in industry, an academic research lab, or through internships. Role responsibilities include:-Develop, test, deploy and a maintain software, both core algorithms and infrastructure, for our robotic arm based trailer coupling solution.-Troubleshoot issues hands-on on the arm. Qualifications:-Degree in Robotics, Computer Science, or a related field-Hands-on experience with developing and deploying algorithms on real robots-Experience with modern robotics development frameworks (e.g. ROS)-Strong C++ and/or Python skills-Passionate about real-world robotics solutions.-Strong presentation and communication skills. Preferred-Publication record in top-tier conferences in Robotics and related fields.-3+ yrs industrial experience in deploying robotics solutions in real-world scenarios. 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 Mitsubishi Electric Research Laboratories (MERL), located in Cambridge, MA, is seeking a highly motivated and qualified individual to join our summer internship program and conduct cutting-edge research on hybrid AC and DC power grids. The ideal candidate is a senior or junior Ph.D. student in Electrical Engineering or a related field with strong expertise in HVDC power systems, power system analysis, power electronics and control, renewable energy integration, numerical methods and optimization. Proficiency in MATLAB, Python, or C/C++ programming is required. The internship is expected to last 3–4 months with a flexible start date, The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job Description [Detailed one paragraph description of position with requirements here.] MERL is seeking a highly motivated intern to conduct original research in estimating vital signs such as heart rate, heart rate variability, blood pressure, and blood oxygen level from video of a person. The successful candidate will use the latest methods in deep learning, computer vision, and signal processing to derive and implement new models, collect data, conduct experiments, and prepare results for publication, all in collaboration with MERL researchers. The candidate should be a Ph.D. student in computer vision with a strong publication record and experience in computer vision, signal processing, machine learning, and health monitoring. The successful candidate is expected to have published at least one paper in a top-tier computer vision or machine learning venue, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI, and possess strong programming skills in Python and Pytorch. Start date is flexible; duration should be at least 3 months. [Enter specific requirements as bullets or delete this section. If included, also select optional section REQUIRED SPECIFIC EXPERIENCE from Apply Process below.] Required Specific Experience • Ph.D. student in computer vision or related field., • Strong programming skills in Python and Pytorch. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.