Principal Engineer, Data & ML Infrastructure

Mission: We are looking for an exceptional Principal Engineer and Technical Lead to spearhead our extensive AI model and software evaluation framework known as Ground Truth Regression. The ideal candidate will possess a robust background in data engineering and machine learning principles, along with proven leadership experience in creating and deploying sophisticated data analysis and large-scale orchestration frameworks. At Motional, orchestrating large-scale data analysis is essential for the development of our machine learning-driven autonomous vehicles. Our robo-taxi ML models and software are crafted by a diverse team of developers and deployed multiple times daily. The Ground Truth Regression team is responsible for providing a comprehensive perception analysis framework that validates any modifications affecting the behavior of our autonomous vehicles. The GTRegression team assesses the overall impact of ML and software modifications on the autonomous vehicle during the development phase, equipping the team with tools for root cause analysis and safety assessments. We actively monitor for model errors, anomalies, rare objects, and long-tail driving scenarios across thousands of driving hours. Our team is responsible for developing the complete stack, including AWS Kubernetes orchestration frameworks, re-simulation tools, model metrics, regression reports, and in-depth analysis UIs. We collaborate closely with other perception and ML teams to define metrics and analyze outcomes.

Mission Summary:We are looking for a highly skilled and innovative Principal Engineer to take the helm as Tech Lead Manager for our newly established Machine Learning (ML) Acceleration team. This critical position will spearhead the strategy, development, and implementation of initiatives designed to dramatically enhance the training speed of ML models. Our ultimate aim is to significantly shorten the development cycle for new ML models and facilitate rapid hot-patching for challenges encountered in our autonomous vehicle services.As a hands-on leader, you will merge extensive technical knowledge in ML systems and performance optimization with exceptional leadership and management capabilities. You will be responsible for recruiting, mentoring, and nurturing a high-performing team of engineers, while cultivating a culture of innovation, teamwork, and ongoing enhancement.Key Responsibilities:Team Leadership & Management:Establish, direct, and oversee a top-performing team of ML and infrastructure engineers dedicated to acceleration initiatives.Provide technical direction, mentorship, and professional growth opportunities for team members.Encourage a collaborative and inclusive team atmosphere.Set team objectives, priorities, and operational roadmap in alignment with organizational goals.Technical Strategy & Execution:Articulate the technical vision and strategy for ML acceleration throughout the organization.Identify and assess state-of-the-art technologies and methodologies for expediting ML training, including data pipeline optimization, large-scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.Design, develop, and implement scalable and efficient ML acceleration solutions.Cross-functional Collaboration:Work closely with ML research, ML training platforms, and product teams to comprehend their requirements and seamlessly integrate acceleration solutions.Effectively communicate complex technical concepts and strategies to both technical and non-technical audiences.Serve as a technical expert and advocate for ML acceleration projects across the organization.Impact & Measurement:Regularly assess and report on the effectiveness of acceleration initiatives.Continuously pursue opportunities for further optimization and innovation.

Stage is looking for an Infrastructure Data Engineer to join the team in Boston, MA. This position centers on building and maintaining the systems that move and organize data, making analytics and business intelligence possible across the company. Role overview The Infrastructure Data Engineer will design, implement, and support scalable data infrastructure. The work ensures that business needs are met as the company grows, and that analytics teams have reliable data to inform decisions. What you will do Design and implement data infrastructure to meet evolving business requirements Build and maintain data pipelines used for analytics and reporting Support business intelligence by ensuring data systems are reliable and accessible Requirements Stage is seeking candidates who have a strong interest in data engineering and are motivated to make a real impact on team and company goals.

At Klaviyo, we embrace the diverse experiences and perspectives that each Klaviyo (our affectionate term for team members) brings to our dynamic workplace. We believe that everyone deserves a chance to succeed and appreciate unique backgrounds beyond traditional qualifications. If you feel you align closely with this role, we encourage you to apply. To explore more about life at Klaviyo and how we empower creators to take charge of their destinies, please visit our careers page. As a hands-on Principal Engineer specializing in compute, networking, storage, runtimes (e.g., Kubernetes), CI/CD, and observability, you will be instrumental in architecting a robust service platform that facilitates rapid and secure deployments. This is an individual contributor role without direct reports; you will lead through exemplary design, coding practices, and incident management, establishing technical standards and service level objectives (SLOs) for our platform services.

At Toast, we are dedicated to empowering restaurants and local businesses to thrive in the digital landscape. Our innovative technology solutions enable business owners to streamline operations, boost sales, engage customers, and foster employee satisfaction. About Toast Toast is on a mission to revolutionize the restaurant industry by providing a comprehensive platform that allows businesses to adapt, take control, and flourish. Our Customer Success (CS) organization is crucial in maximizing the value our customers derive from our offerings. We are actively enhancing our data capabilities to usher in a new era of proactive, data-driven customer engagement. The CS Data & Analytics team is at the forefront of this transformation, developing a robust data infrastructure that enables proactive, data-informed engagement for approximately 150,000 restaurant locations. Role Overview As a Principal Data Engineer, you will be a key player in a newly established data engineering function within our Customer Success team. You will have a direct impact on shaping the architecture, tools, domain models, and team culture from the outset. This is a unique opportunity to build innovative solutions from the ground up, with visibility to VP-level and senior leadership within Customer Success. In this role, you will design, build, and scale the data platforms and pipelines that drive insights across our Customer Success organization. Reporting to the Director of Data Infrastructure & Engineering, you will collaborate closely with Data Infrastructure, Analytics, Engineering, and Product teams to ensure the availability of high-quality, reliable data that is both accessible and actionable. This hands-on engineering position focuses on delivering production-grade, scalable, and dependable data systems that bolster analytics, reporting, and operational decision-making across Customer Success. A Day in the Life (Responsibilities) Design, construct, and maintain scalable, production-ready data pipelines (batch and real-time) tailored for Customer Success using cutting-edge data technologies. Develop and refine data models and schemas that facilitate reporting, analytics, and machine learning initiatives across Customer Success functions. Collaborate with CS operations leaders in areas such as care, workforce, and CX to translate business needs into pipeline and infrastructure priorities, ensuring that data projects are directly linked to customer retention and operational success. Ensure high standards of data quality, observability, lineage, and governance are integrated into every data workflow. Implement best practices for cost-effective, high-performance cloud-based data infrastructure. Contribute to...

Speechify builds tools that turn written content, PDFs, books, Google Docs, news articles, and websites, into audio. Over 50 million people use our text-to-speech products to read faster, retain more, and make learning accessible. Our product suite spans iOS, Android, Mac, Chrome, and the web. Recent recognition includes Chrome Extension of the Year from Google and a 2025 Apple Design Award for Inclusivity. Nearly 200 people work at Speechify, collaborating remotely from around the world. Our team includes engineers and researchers from Amazon, Microsoft, Google, Stripe, Vercel, and Stanford, among others. Role Overview Speechify is hiring a Software Engineer for the AI team, with a focus on data infrastructure and acquisition. This engineer will manage the systems and processes that collect and organize data for training our models. The work combines infrastructure, engineering, and research to create large-scale, high-quality datasets efficiently, at petabyte scale. Location Boston, MA, USA

Join our innovative Behaviors team focused on Prediction and Machine Learning Planning at Motional, where you will collaborate with leading ML engineers dedicated to transforming self-driving vehicles into a reality and making a positive impact on society. Our team develops advanced machine learning models that understand how various agents navigate intricate, real-world traffic environments. These models are pivotal in directing the behavior of our autonomous vehicles while also predicting the actions of other entities like vehicles and vulnerable road users. We are on the lookout for exceptional leaders and technical specialists who are deeply passionate about Level 4 autonomous driving technology. If you thrive on intellectual challenges and seek to advance your career within a rapidly growing organization, we want to hear from you!

Axon Enterprise, Inc. develops devices and cloud-based software focused on public safety and justice. The company’s teams value collaboration, open communication, and diversity, aiming to create meaningful change while supporting employee growth and ownership. Role overview The Principal Data Scientist will join the Office of the Chief Accounting Officer in Boston. This position blends technical expertise with a strong understanding of finance and accounting. The main goal is to ensure Axon’s AI developers, process owners, decision-makers, and auditors have access to reliable, well-governed data that meets audit requirements. Main responsibilities Design and build data analytics tools and pipelines, dedicating about half of the workload to hands-on development. Apply AI to advance projects such as M&A integration, ERP rollouts, upstream data remediation, and SOX compliance. Work closely with teams in Controllership, Finance Operations, FP&A, Internal Audit, and Technology to support AI, automation, and audit readiness. Incorporate AI-driven development tools into daily tasks to improve productivity and outcomes. Location This position is based in Boston, Massachusetts, United States.

CarGurus, a leading online automotive marketplace, is seeking a Principal Data Scientist to join our innovative team in Boston, Massachusetts. As a Principal Data Scientist, you will leverage your expertise in data analysis, machine learning, and statistical modeling to drive insights that enhance our product offerings and improve user experiences. You will play a crucial role in shaping our data strategy and leading complex projects that impact the entire organization.

Join Formation Bio as a Principal Data Scientist, where you will play a pivotal role in shaping our data-driven strategies. We are seeking a highly skilled and innovative data scientist to lead complex projects and drive actionable insights from our data.In this position, you will collaborate with cross-functional teams, leveraging your expertise in statistical analysis, machine learning, and data visualization to inform decision-making and improve our products. Your contributions will directly impact our mission to harness data for groundbreaking advancements in biotechnology.

Motional is developing autonomous driving technology with an emphasis on safety, reliability, and accessibility. Backed by Hyundai Motor Group, the company is working toward the commercial launch of fully driverless IONIQ 5 robotaxis in Las Vegas, aiming to advance AI-driven transportation and improve road safety. The Systems Readiness and Performance team connects software development with real-world deployment. This group manages system design, verification, and validation for the autonomy stack, setting and measuring performance targets, and building the safety case for commercial deployment. The Autonomy Subsystems team is responsible for designing and evaluating autonomy software modules. As a Senior Engineer, Autonomy ML Systems based in Boston, you will focus on strengthening evaluation processes for machine learning subsystems. The role covers offline model evaluations, open and closed-loop re-simulations, and on-road performance assessments. The main objective is to develop meaningful metrics, validate subsystem performance, and provide actionable feedback to machine learning developers. Collaboration across teams is essential to improve in-vehicle machine learning models as Motional prepares to scale its robotaxi service. Key Responsibilities Define, prototype, and validate advanced metrics to provide new insights into model performance, especially for perception, prediction, and planning subsystems. Review the coverage of current training and testing data, and curate test sets that represent Motional’s operational design domain, including agent types, scenarios, and spatial factors. Assess machine learning model performance using established metrics and curated tests. Analyze large-scale data from on-road and simulation events to evaluate system-level performance and understand how each subsystem contributes. Set performance requirements for autonomy subsystems and confirm those requirements are met. Requirements Experience designing and evaluating safety-critical systems and machine learning models. Interest in autonomy, robotics, and machine learning.

Join Our Team at Motional: As a Senior Machine Learning Engineer specializing in ML Planning, you will collaborate with top-tier machine learning engineers and research scientists to revolutionize the future of self-driving vehicles. Your work will contribute to creating a positive social impact by enhancing the technology that interprets complex driving environments and devises safe, efficient driving strategies for our robotaxi fleet.Your Responsibilities:Lead the design and execution of innovative experiments, leveraging insights from cross-functional teams of machine learning engineers.Prototype and implement advanced metrics to assess the performance of our behavioral models across diverse scenarios and capabilities of our robotaxi.Ensure timely deployment of significant model updates, analyzing both offline and on-road evaluation results.Stay abreast of industry trends and propose novel architectures and network designs informed by the latest research.Maintain a robust and high-quality training and evaluation codebase, focusing on dataset generation and assessment.

About the RoleJoin Parallel Fluidics as we innovate the infrastructure powering the future of life science tools. As the Principal Mechanical Engineer, you will spearhead our most vital engineering initiatives, establish benchmarks for technical excellence, and influence the processes that guide our product development and manufacturing. We seek an experienced engineering leader with extensive knowledge in electromechanical system design, design for manufacturing, and automation. If you are passionate about making a significant impact by transforming groundbreaking products from concept to production in a fast-paced startup environment, we encourage you to apply.Key ResponsibilitiesEngineering LeadershipAct as the principal architect of the engineering processes at Parallel Fluidics.Lead critical engineering projects that align with our mission.Serve as a technical expert for various internal projects.Identify and implement improvements to our engineering systems and tools.Mentor junior and senior engineers across various disciplines.Provide progress reports and insights to company leadership.Product DevelopmentOversee the transition of Parallel’s next-generation hardware products from concept to scalable production.Identify and evaluate potential high-volume manufacturing partners.Facilitate the transfer of high-volume products from in-house production to third-party manufacturers.Manufacturing SystemsIdentify opportunities to enhance our in-house designed manufacturing equipment.Design experiments and testing methods to optimize manufacturing processes.Collaborate with the manufacturing team to pinpoint gaps and explore improvement opportunities.

About SunoSuno is an innovative music company dedicated to expanding creative possibilities. Utilizing the most advanced AI music technology available, we provide an extraordinary creative platform that includes Suno Studio, a pioneering generative audio workstation. Whether you're a casual singer, an aspiring songwriter, or a seasoned musician, Suno empowers a diverse community to create, share, and explore music, making the joy of musical expression accessible to everyone.About the RoleWe are seeking talented mid-level infrastructure engineers to join our dynamic engineering team. In this role, you will collaborate with seasoned engineers to design, develop, and maintain Suno's robust technical infrastructure and innovative products. This is a unique opportunity to contribute significantly to our platform while honing your skills in a fast-paced, music-centric environment.Explore the Suno Job Posting Here!What You’ll DoDesign and develop services capable of managing extensive consumer traffic, data, and usage.Create systems that prioritize performance, security, scalability, and observability.Exemplify operational and software engineering excellence through your work.What You’ll Need3-5 years of experience in infrastructure engineering is preferred.Proficient with cloud services (AWS/GCP), Kubernetes, Docker, and infrastructure as code (Pulumi/Terraform/CDK).Experience in scaling infrastructure from inception to production.Solid understanding of Postgres and distributed relational databases; experience with large-scale database hosting is advantageous.Strong backend development skills for optimizing application and service code; familiarity with websockets, CDNs, and streaming traffic patterns is a plus.In-depth knowledge of security best practices for building and scaling infrastructure.Experience in MLOps, large-scale inference, and ML data pipelines is a plus.A passion for engineering excellence, rapid iteration, and continuous learning.Technical leadership or management experience is a bonus.A genuine love for music (listening, exploring, creating) is a significant advantage.A Bachelor’s degree or equivalent experience is required.Additional Notes: Applicants must be ...

Acadian Asset Management LLC is seeking a Principal Engineer for its Investment Systems group in Boston, Massachusetts. This position centers on building and improving investment systems that support the firm’s client needs. Role overview The Principal Engineer will design solutions for complex investment challenges. The role involves both developing new features and refining existing systems to ensure they align with client requirements. Collaboration Working with teams across the organization, this engineer will contribute technical expertise and help guide technology choices within the investment domain. Key responsibilities Develop and enhance investment systems to address client needs Design solutions for technical and business challenges in investment management Collaborate with cross-functional teams to advance technology within the firm

About Kalderos Kalderos builds technology to bring greater transparency and fairness to healthcare, with a focus on pharmaceutical pricing. The team’s work supports healthcare professionals so they can focus on patient well-being. People drive Kalderos’ progress. The company values problem-solving, open feedback, and new ideas. Team members are committed to the mission and welcome those ready to help tackle complex challenges. Role Overview: Infrastructure Engineer II Kalderos is hiring an Infrastructure Engineer II. This role suits someone who enjoys collaboration and can adapt to growth and change. The work often involves high-volume systems and shifting priorities, offering the chance to make a real impact. Location Boston, MA Chicago, IL Remote (US-based)

Infrastructure Software Engineer AcuityMD is at the forefront of revolutionizing access to medical technologies through our innovative software and data platform. We empower MedTech companies to gain insights into product usage, customer variability, and opportunities to enhance patient care. With approximately 6,000 new medical devices approved by the FDA each year, our platform accelerates the journey from product development to physician access, ultimately improving patient outcomes. Backed by prominent investors including Benchmark, Redpoint, ICONIQ Growth, and Ajax Health, we are a rapidly scaling SaaS organization. As an Infrastructure Software Engineer, you will collaborate closely with various teams across Engineering and Production. Your role will involve designing, building, and maintaining core platform services—encompassing compute, networking, storage, CI/CD, and developer tooling—that drive our applications from start to finish. You will enhance reliability, security, and efficiency, while fostering an exceptional developer experience. Additionally, you will contribute to our strategic objectives as we advance our infrastructure and practices to maximize both internal and customer impact. Team Mission Our Platform Team serves as the backbone for the organization, ensuring that product teams can deliver swiftly and safely. We create direct customer value through our cloud capabilities and security measures while supporting internal success through partnerships with application teams, enabling a superior development experience. Responsibilities Steward core platform services: Implement scalable container orchestration, service mesh, ingress, and secrets management. Cross-functional partnership: Collaborate with Product, Engineering, Data, and Security to drive external and internal value. Harden reliability: Enhance observability through logging, metrics, and tracing, along with automated remediation to boost availability and reduce latency. Automate everything: Utilize infrastructure-as-code and configuration management to ensure systems and processes are repeatable, auditable, and secure. Scale cost-effectively: Optimize cluster utilization and autoscaling, balancing performance, reliability, and costs. Level-up developer experience: Develop internal tooling, templates, and best practices that minimize cognitive load and expedite time-to-deploy for product teams. On-call & incident response: Engage in a sustainable on-call rotation, lead post-mortems, minimize repetitive tasks, and reduce mean time to recovery through automation. Enable fast, safe delivery: Enhance CI/CD pipelines to facilitate swift and secure software releases.

Motional is on the lookout for a highly skilled Principal Engineer to join our Planning team. In this pivotal role, you will be responsible for designing innovative motion planning and control systems that ensure the safe, efficient, and comfortable operation of our autonomous fleet in intricate environments. We seek an individual with a strong background in advanced algorithm development and robust software engineering, committed to shaping production-ready autonomous vehicles. If you are passionate about autonomous driving and enjoy tackling real-world challenges in a dynamic field, we welcome your application.Key Responsibilities:Lead the research and development of groundbreaking algorithms and subsystems for motion planning within autonomous driving, enhancing the Operational Design Domain. This encompasses advanced search-based and geometry-driven methods, alongside decision-making under uncertainty, with a focus on probabilistic techniques.Oversee cross-functional initiatives to create or enhance interfaces aimed at solving complex problems.Continuously monitor system performance to pinpoint areas for enhancement and formulate technical strategies to address shortcomings.Guide cross-functional project teams to deliver comprehensive solutions, showcasing the ability to think beyond the planning system's limitations.Architect and integrate sophisticated motion planning and prediction algorithms, leading their assessment and optimization for real-world applications.Design and develop a resilient, scalable, and high-performance codebase that enables rapid exploration, prototyping, and thorough evaluation of new motion planning methodologies and algorithms.Facilitate technical collaboration and ensure seamless integration with upstream perception and prediction components, as well as downstream trajectory optimization, tracking, and control systems, guaranteeing optimal end-to-end system performance.Utilize your extensive software development and research expertise to mentor others in best software practices, fostering a culture of technical excellence.Mentor junior and senior team members, promoting a culture of product-focused engineering, rigorous research, and advanced development.

About SimpliSafe At SimpliSafe, we are at the forefront of high-tech home security, driven by our mission to safeguard every home. We have cultivated a culture that not only cherishes the safety of our clients but also values the career development of our team members. In our no-ego environment, collaboration and innovation thrive, creating ample opportunities for those ready to face new challenges and make a significant impact on the lives we protect. We don’t just want you to work here; we want you to flourish. Our hybrid work model allows our teams to balance office and home working seamlessly. Expect to collaborate in our state-of-the-art Boston office on two core days—typically Tuesday, Wednesday, or Thursday—while enjoying the flexibility to choose your workspace for the remaining days. This approach allows us to harness the benefits of both environments to optimize productivity. Why We Are Hiring We are expanding our Tools and Automation organization, specifically within the Test Platform Services (TPS) team. TPS is responsible for building and managing the platforms and automation that validate the comprehensive SimpliSafe ecosystem, which includes connected cameras, sensors, base stations, firmware, cloud services, monitoring workflows, and mobile applications. Our goal is to enable scalable, production-like validation across hardware, firmware, and distributed software systems. This ensures our devices perform accurately in real-world conditions and that essential customer journeys operate reliably before they are deployed to production. We are on the lookout for a Software Engineer who can lead the technical vision for TPS while managing a team of engineers. This position merges hands-on architectural responsibilities with leadership and mentorship, offering a unique opportunity for those looking to make a significant impact. This role is highly collaborative, requiring close partnerships with Infrastructure, Backend, Firmware, and Monitoring teams to ensure our validation platforms evolve in line with product and system complexity. It’s perfect for a leader who wishes to stay technically involved while shaping a high-performing engineering team dedicated to validating complex, distributed systems at scale. Your Responsibilities Establish and implement the long-term architectural vision for scalable validation platforms, with a focus on automation, performance, and resilience testing capabilities. Collaborate cross-functionally with Infrastructure, Backend, Firmware, Monitoring, and Product teams to ensure alignment of validation systems with product architecture, roadmaps, and business objectives. Guarantee that virtual devices and simulation systems accurately represent real-world hardware behavior, minimizing discrepancies between physical and virtual environments.

Join Veeva Systems, a revolutionary leader in the industry cloud that accelerates the journey of life sciences companies to deliver therapies to patients swiftly. As one of the fastest-growing SaaS enterprises, we achieved over $2 billion in revenue last fiscal year and continue to expand rapidly.At Veeva, our core values are integral to our mission: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation, dedicated to balancing the interests of all stakeholders including customers, employees, and society.We embrace a flexible work culture as a Work Anywhere company, allowing you to choose whether to work from home or in the office, helping you thrive in your preferred setting.Be a part of our mission to transform the life sciences industry, making a significant positive impact for our customers, employees, and communities.The RoleWe are seeking Quality Engineers at various levels to join our Vault Infrastructure team. The Vault is an innovative SaaS product within the Life Sciences domain, covering pharmaceuticals, biotechnology, and medical devices.As a pivotal member of our team, you will assist in the development and deployment of essential infrastructure modules that underpin the Veeva Vault platform, ensuring that we deliver reliable, resilient, and seamless solutions to cater to our customers' evolving needs.Our Infrastructure team consists of intelligent, dedicated engineers who value collaboration, excel in dynamic environments, and eagerly pursue opportunities for growth and learning.If you are a recent graduate or soon to graduate, we encourage you to apply. Our onboarding program features a dedicated buddy system to assist you, and our collaborative atmosphere is perfect for sharpening your skills alongside fellow engineers.As a Work Anywhere company, you can work remotely or from our office hubs located throughout the United States. We welcome applicants from all time zones.