Principal Engineer, Tech Lead Manager - ML Acceleration

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.

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!

Join maximustribe as a Lead Software Engineer / Tech Lead Manager, focusing on growth initiatives in a fully remote capacity. We are looking for an innovative leader with a passion for technology and a proven track record in software development. You will be responsible for guiding a team of talented engineers, driving projects from conception to completion, and implementing best practices in coding, design, and architecture.

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.

ServiceNow is seeking a Senior AI Engineer focused on Delivery Acceleration in Boston. This position centers on using artificial intelligence to improve how the company delivers its services and solutions. Role overview The Senior AI Engineer works with cross-functional teams to design and implement AI-driven improvements in delivery processes. The goal is to make these processes more efficient and effective, supporting ongoing business transformation efforts. Key responsibilities Apply AI expertise to streamline and optimize service delivery workflows. Collaborate with colleagues from different departments to identify opportunities for AI solutions. Develop and deploy AI models that support business goals and enhance delivery outcomes. Collaboration This role involves regular interaction with teams across the organization. Working together, you will help shape and implement AI strategies that improve ServiceNow’s operations and customer experience.

Mission Overview: As a Principal Engineer and Technical Lead at Motional, you will spearhead a dynamic team dedicated to creating and implementing advanced trajectory planning algorithms through numerical optimization for autonomous vehicles. You will play a pivotal role in designing the motion planning and control systems that empower our fleet to navigate through intricate environments with safety, efficiency, and comfort. As a vital leader, you will not only enhance the development and performance of innovative trajectory generation algorithms but also collaborate with multidisciplinary teams including Planning, Perception, Prediction, Localization, Machine Learning Products, and Systems Engineering. Additionally, you will mentor a skilled group of engineers to deliver cutting-edge solutions. If you are enthusiastic about autonomous driving and wish to contribute to our commercial launch this year, enjoy tackling challenging real-world problems, and are eager to make a profound impact in a rapidly evolving domain, we invite you to connect with us! Your Responsibilities: Lead and expand a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization. Prepare for commercial launch readiness by enhancing on-road driving behavior (safety, comfort, assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovative methodologies. Utilize a systematic, metrics-driven approach to measure and enhance on-road performance. Advocate for the use of existing training and evaluation pipelines to ensure scalable, production-ready delivery. Oversee the computational efficiency and real-time performance of trajectory generation algorithms, ensuring compliance with latency budgets. Direct the swift triage and root-cause analysis of critical fleet incidents, translating real-world edge cases into immediate algorithmic enhancements and validation sets. Manage the successful execution of complex, multi-team projects, ensuring technical alignment from design to deployment while upholding a rigorous standard for testing and validation to meet the high safety benchmarks required for our commercial launch. Collaborate with peer leads to provide technical leadership, making crucial decisions regarding architectural direction, strategic investments, tactical execution, and technical debt reduction. Ensure technical excellence through thorough design and code reviews, while actively fostering the professional growth and mentorship of your engineering team. Set and pursue ambitious goals that inspire the team to deliver industry-leading trajectory solutions.

Principal Engineer and Team Lead - Motion Planning Join our innovative Planning team at Motional, where your enthusiasm for robotics and software development will contribute to the advancement of production-ready autonomous vehicles. As the Principal Engineer and Team Lead, you will oversee a talented team dedicated to designing and implementing state-of-the-art motion planning software for autonomous vehicles. This pivotal role requires you to lead the definition of motion planning and control systems that ensure our fleet operates safely, efficiently, and comfortably in complex environments. Your leadership will be instrumental in developing cutting-edge motion planning algorithms, working in collaboration with cross-functional teams (Localization, Perception, Prediction, Controls, ML Products, and Systems Engineering), and mentoring a diverse group of engineers to deliver groundbreaking solutions. If you are driven by a passion for autonomous driving, enjoy tackling challenging real-world problems, and are eager to make a significant impact in a rapidly evolving industry, we would love to hear from you.

Role overview This Backend Software Engineer II position at Whoop focuses on hardware acceleration. The work centers on building backend systems that support health and fitness tracking products. Scalability and efficiency are key priorities for these systems. What you will do Develop and maintain backend services that use hardware acceleration to boost platform performance Collaborate with other engineering teams to support both new and existing health and fitness tracking features Help ensure core backend services remain reliable and scalable Location This position is based in Boston, MA.

The Machine Learning (ML) Data Services team is on the lookout for a passionate and seasoned Staff Technical Lead Manager (TLM) to spearhead the evolution and operation of our essential machine learning data infrastructure. This pivotal position requires a unique fusion of in-depth technical knowledge in machine learning systems, extensive data processing, and a proven track record in leadership to effectively manage both individual contributors and set technical direction. The ML Data Services team plays a vital role in ensuring the provision of reliable, high-quality, and easily accessible data for all machine learning applications. As custodians of the 'Data Engineering' phase of the ML lifecycle, we handle the most crucial input for any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and processes petabytes of data, directly facilitating the success of our flagship products. Key Responsibilities: Technical Leadership and Strategic Direction Develop and execute the technical roadmap and long-term strategy for the ML Data Services platform, ensuring alignment with the growing needs of ML engineers across the organization. Act as the leading technical authority for the team, designing complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving. Guide the technical vision for sourcing diverse training data, encompassing real-world drive logs, resimulation outputs, auto-labeling pipelines, and human labeling efforts. Oversee the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring comprehensive data governance and compliance. Provide hands-on technical mentorship, design reviews, and guidance to engineers, promoting best practices, high code quality, and operational excellence. Management and Team Development Lead a team of software engineers, conducting performance reviews, facilitating career development, and providing coaching and mentoring. Balance a hybrid role as a technical leader-manager, dedicating 50% of efforts to management and 50% to technical leadership, architecture, and hands-on coding/design. Drive recruitment efforts to attract, onboard, and retain exceptional engineering talent, fostering a diverse and inclusive team culture. Promote engineering excellence, operational rigor, and a strong sense of ownership within the team. Collaboration and Execution Work closely with ML model and Infrastructure teams to understand data requirements and deliver solutions that expedite ML development cycles. Lead the execution of major projects, ensuring timely delivery and alignment with business objectives. Effectively communicate complex technical concepts to a variety of stakeholders.

Product Engineer, Tech LeadLocation: Boston, MA (Hybrid — 2 days per week in office)About UsClasp is a venture-backed, mission-driven startup dedicated to transforming access to education and career opportunities. Our goal is to revolutionize how employers attract and retain vital talent while addressing the student debt crisis. We pride ourselves on being more than just a fintech; we are a catalyst for economic mobility, connecting employers, educational institutions, and diverse talent through accessible education financing.As a proud member of the Forbes Fintech 50 and a portfolio company of SHRM (the largest HR organization), we have also been honored as the “Startup of the Year” by StartUp Boston. Our commitment to social impact and innovation drives us to reshape the future of the workforce, giving power to learners and creating fulfilling careers that foster positive change in communities.The Role – Product Engineer, Tech LeadWe are looking for a Tech Lead to collaborate with our technical leadership team in scaling our product to support tens of thousands more students and partner with numerous alternative education providers, facilitating the financing of hundreds of millions of dollars in loans and other financial products. The ideal candidate excels at breaking down complex problems, is proficient in Javascript/Typescript, and has a strong opinion on UX & APIs. Additionally, they are passionate about mentoring their peers and instilling best practices within the team.At Clasp, we embrace a DevOps culture where engineers have full ownership of their code and the infrastructure it runs on. Candidates should be excited about making significant contributions to the architecture that drives our product roadmap and business, while achieving substantial personal growth along the way!Key ResponsibilitiesArchitect, build, and maintain a robust application management and loan repayment platform, ensuring scalability, performance, and maintainability across front-end and back-end systems.Utilize full-stack engineering skills to collaborate with the team and create a polished and accessible end-user experience that delights tens of thousands of students and program administrators, while developing top-tier APIs on reliable infrastructure for our partners.Drive the technical vision and roadmap for our product, ensuring alignment with business goals and user needs.

Join Whoop as a Tech Lead in Mechanical Engineering, focusing on our innovative apparel and accessories. In this pivotal role, you will drive engineering excellence and lead a talented team to deliver state-of-the-art products that enhance performance and comfort. Collaborate closely with cross-functional teams to ensure the integration of cutting-edge technology and design in our offerings.

Join CarGurus as a Senior Sales Acceleration Partner, where you will play a pivotal role in enhancing our account management strategies. In this dynamic position, you'll leverage your expertise to drive growth and strengthen client relationships, ensuring our customers receive unparalleled service.

Join Nagarro as a Principal Engineer - Project Manager specializing in Salesforce, where you'll lead innovative engineering projects and manage cross-functional teams to deliver exceptional solutions. Your role will involve strategic planning, resource allocation, and continuous improvement initiatives, ensuring alignment with client objectives and industry standards.

Speechify builds tools that turn reading materials, PDFs, books, Google Docs, news articles, and websites, into audio, making learning more accessible for over 50 million users. Our suite includes apps for iOS, Android, Mac, Chrome, and the web. Recognition includes Chrome Extension of the Year by Google and Apple’s Design Award for Inclusivity in 2025. The team is fully remote, with nearly 200 people worldwide. Members bring experience from Amazon, Microsoft, Google, Stanford, and successful startups like Stripe, Vercel, and Bolt. Roles span frontend and backend engineering, AI research, and more. Role overview Speechify’s Android app leads the Play Store in text-to-speech. The Tech Lead - Android Core Product will guide the team in delivering a seamless user experience and launching new features. This role suits someone who thinks strategically, enjoys shaping products, and thrives on responsibility. What you will do Drive technical direction and hands-on development for the Android app Collaborate with engineers, designers, and product managers to deliver features users love Champion code quality and best practices Mentor engineers and help shape a culture of ownership Influence product decisions with a focus on impact and user experience What helps you succeed here Strong technical skills in Android development Clear, effective communication Proven ability to deliver results and take initiative Comfort working in a flat, collaborative team Motivation to build products that help people learn Interview process The process includes several technical interviews, usually completed within one week. Location Boston, MA, USA (remote team)

At WHOOP, we are committed to unlocking human performance and extending health span. As a key member of our Mechanical Engineering NPI team, you will play a pivotal role in shaping the future of wearable technology by developing cutting-edge, high-performance products that seamlessly integrate into users’ lives.We operate with urgency at WHOOP because our mission demands it. We design products for individuals who push their limits—and we hold ourselves to the same high standards. We expect our engineers to delve deeply into technical challenges, collaborate tirelessly, and take pride in their execution. The pace is fast, expectations are high, and the work is profoundly meaningful. This is not a position where you merely follow a blueprint. If you thrive on complex challenges, cross-functional teamwork, and the opportunity to deliver hardware at scale, this role will challenge and reward you.WHOOP is in search of a Tech Lead, Mechanical Engineering to spearhead the development of next-generation wearable platforms. This player-coach role entails leading a talented team of mechanical engineers while also actively contributing to product design and technical development.You will oversee the team responsible for designing and launching new WHOOP hardware lines, establishing strong engineering standards, managing technical risks, and ensuring high-quality execution from concept through production. This position requires robust systems thinking and experience in designing products that harmoniously combine compact packaging, precision mechanical interfaces, environmental robustness, and seamless integration with advanced electronic subsystems. You will collaborate cross-functionally with Industrial Design, Electrical Engineering, Product Management, Operations, and external manufacturing partners to bring innovative wearable products to market.This role is perfect for an experienced engineer who excels at the intersection of technical leadership, system architecture, product development, and team mentorship.

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...

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.

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

Join our innovative Behaviors team at Motional, where you will work alongside leading ML engineers dedicated to advancing self-driving technology and making a meaningful social impact. Our team specializes in developing sophisticated machine learning models that enable autonomous vehicles to navigate real-world traffic scenarios effectively. These models inform our vehicle's behavior and predict interactions with other road users, including vehicles and pedestrians.We are seeking exceptional leaders and technical experts passionate about Level 4 autonomous driving technology. If you thrive on intellectual challenges and wish to accelerate your career with a dynamic, rapidly growing company, we want to hear from you!Your Responsibilities:Define and oversee motion planning and prediction projects aimed at enhancing the safety, comfort, and legality of our self-driving vehicles in complex traffic environments.Lead, mentor, and expand a talented team of engineers.Design and implement advanced behavior models utilizing cutting-edge machine learning, generative AI, and reinforcement learning techniques.Transition solutions into production and deploy them across our fleet of autonomous vehicles.Collaborate with perception, simulation, data platforms, and integration teams to validate and optimize the performance of your solutions in real-world scenarios.Communicate strategies, progress, and challenges to the executive leadership team.