Machine Learning Engineer II/III - Applied Research & Model Development

About Us At PathAI, our mission is to revolutionize patient care by enhancing diagnostic accuracy through AI-driven pathology solutions. Our platform is designed to significantly boost the precision of disease diagnoses and the effectiveness of cancer treatments by utilizing cutting-edge machine learning and artificial intelligence technologies. With a proven history of implementing AI algorithms in histopathology across various settings, including translational research, pathology laboratories, and clinical trials, we emphasize rigorous scientific methodologies and thorough analyses in every project. Our diverse team, united by a shared passion for tackling complex problems, is dedicated to making a meaningful impact on patient outcomes. Your Role We are on the lookout for talented Machine Learning Engineers (Applied Research & Model Development) to join our innovative team. In this role, you will engage with various departments, including biomedical data science, product development, translational research, MLOps, and platform engineering, to advance our machine learning capabilities and enhance patient care through our AI products and services. Key Responsibilities Design, implement, and launch machine learning models for both research and product development initiatives. Work collaboratively with cross-functional teams, including scientists, engineers, and product stakeholders, to translate clinical and biological requirements into scalable machine learning solutions. Participate in experimental design and analysis, including ideation, documentation, and reporting processes. Contribute to team knowledge sharing initiatives such as design reviews, journal clubs, and discussions on machine learning best practices and governance. Enhance machine learning pipelines and infrastructure in collaboration with MLOps and platform engineering teams.

Join Cellular Intelligence as a Senior/Principal Machine Learning Researcher!At Cellular Intelligence, formerly known as Somite AI, we strive to revolutionize stem cell biology by creating AI foundational models that facilitate the development of innovative cell therapies on a large scale.Our comprehensive approach allows us to generate data at a cost efficiency of 1,000 times lower than traditional methods, while training large-scale models that possess unparalleled predictive capabilities. These models are pivotal in discovering, refining, and optimizing impactful applications in cell therapy.Our founding team boasts a wealth of experience, including AI entrepreneur Dr. Micha Breakstone, who successfully led Chorus.ai to a $575M acquisition, the Head of MIT's Fundamental AI Group, and a cadre of professors from Harvard Medical School and the University of Washington, comprising members of the National Academy of Sciences and Medicine. Based in Boston, we are excited to commence operations in January 2024 and have secured nearly $60 million in funding to date.

About SimpliSafe SimpliSafe stands at the forefront of innovation in the home security sector, committed to ensuring that every household feels secure. Our mission is to deliver accessible and comprehensive security solutions through user-centric designs that empower individuals and families to protect their most valued assets. We foster a collaborative and dynamic work environment where continuous learning and professional growth are paramount. Our teams consist of passionate and talented individuals dedicated to technology, security, and providing outstanding customer experiences. Embracing a hybrid work model, we encourage our teams to balance their time between office collaboration and remote work. Typically, our teams gather in our state-of-the-art office on core days—usually Tuesday, Wednesday, or Thursday—allowing for personal workspace flexibility while maximizing in-person collaboration. Why Join Us? As we expand and excel, we are on the lookout for intelligent, talented, and humble individuals who align with our values, eager to innovate in the home security landscape and relentlessly pursue our mission of securing Every Home. About the Role We are in search of a driven and highly skilled Computer Vision Applied Research Engineer to become a pivotal member of our expanding Edge AI team. In this influential role, you will spearhead the development of on-device machine learning solutions for outdoor monitoring in the home security domain. Your expertise will involve building and optimizing computer vision models that operate in real-time on resource-constrained embedded devices such as outdoor and doorbell cameras, striking the right balance between accuracy, latency, memory usage, power efficiency, and reliability under challenging conditions (including low light, adverse weather, and motion blur). Key Responsibilities: Lead the comprehensive development of edge ML models for outdoor monitoring applications (e.g., detecting and classifying persons, vehicles, and packages; tracking; segmentation; and event understanding). Design, train, and deploy transformer-based vision models (e.g., compact ViTs, hierarchical transformers, DETR-style detectors) and hybrid CNN-transformer architectures optimized for embedded inference. Enhance model efficiency through resource-aware design and training approaches, including: Architecture: Token/patch reduction, efficient attention variants, early-exit/conditional compute. Training: Distillation from large transformer models to edge implementations. Compression: Techniques such as Quantization (PTQ/QAT), pruning, mixed precision, and operator-aware optimization. Collaborate closely with cross-functional teams to integrate models into our products and ensure they meet quality and performance standards.

About SimpliSafe SimpliSafe stands at the forefront of innovation within the home security sector, committed to ensuring that every household can feel secure. Our mission revolves around delivering accessible and thorough security solutions by designing user-focused products that empower families to safeguard what they cherish the most. We foster a collaborative and agile work environment that promotes continuous learning and growth. Our teams are composed of talented individuals who are enthusiastic about technology, security, and delivering superior customer experiences. Adopting a hybrid work model allows our teams to enjoy flexibility as they balance their time between the office and home. We encourage in-person collaboration during core office days, typically Tuesday, Wednesday, or Thursday, while offering the freedom to choose their work environment throughout the remainder of the week. This approach provides us all with the best of both worlds to maximize our productivity.

This Research Assistant III role at Harvard University centers on microbiology and in vivo models. Based in Boston, the position supports projects that investigate microbial interactions and how they relate to health and disease. Main responsibilities Collaborate with scientists on research involving microbiology and in vivo models Carry out laboratory experiments and gather data Help prepare research results for publication Location This position is located in Boston, Massachusetts.

LOCATION: This position can be based anywhere in Canada, with a preference for candidates in the eastern or central time zones to collaborate effectively with our teams in the US, Europe, and India.ABOUT THE ROLEWiser Solutions is on the lookout for a Principal Machine Learning Engineer to steer and implement our AI and data science initiatives. This senior technical leadership role requires a unique individual who possesses extensive knowledge in machine learning, data science, and production engineering, coupled with the business insight needed to transform intricate capabilities into tangible customer value.In this role, you will serve as the leading technical authority on AI at Wiser. Your responsibilities will include defining the architectural vision, showcasing our capabilities to clients and partners, and delivering production systems that yield measurable business results. This position demands an individual who can seamlessly navigate between strategic planning and hands-on execution, capable of engaging with executives one day and troubleshooting production pipelines the next.We are fostering an AI-driven engineering culture at Wiser, where AI tools and methodologies are integrated into our workflows—not just our products. We seek a Principal AI Engineer who not only develops AI solutions but also exemplifies AI-enhanced working practices and aids the broader engineering team in their adoption. If you’re passionate about the transformative power of AI in software development and actively embrace this shift in your daily work, we want to hear from you.Key ResponsibilitiesStrategic LeadershipCollaborate with product and business leadership to define and refine Wiser's technical AI and data science strategy.Communicate Wiser's AI capabilities to clients, partners, and advisors, outlining our approach, roadmap, and unique value proposition.Spot high-impact opportunities where AI can effectively address client challenges or provide competitive advantages.Set technical standards, patterns, and best practices that guide engineering decisions across the organization.Technical ExecutionDesign and develop production AI systems, including applications for LLM, RAG pipelines, semantic search, and traditional ML models.Create rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable outcomes.Integrate classical data science techniques (statistical modeling, experimentation design, feature engineering) with modern generative AI methods.Oversee the technical quality of AI systems end-to-end, from data pipelines and model deployment to production observability.Cross-Functional CollaborationWork alongside product management to translate business needs into technical solutions and validate them against customer expectations.Guide and uplift the AI/data science team (3-5 engineers), enhancing the technical proficiency across the board.

Join our innovative team at Flagship Pioneering Inc. as a (Senior) Machine Learning Engineer, where you'll be at the forefront of developing cutting-edge artificial intelligence solutions. In this role, you will leverage your expertise in machine learning algorithms and data analysis to drive impactful results across various projects. Collaborate with a diverse team of scientists and engineers to create scalable models that can be implemented in real-world applications.

Join Our Team: At Motional, our mission is to revolutionize transportation through the development of autonomous vehicles. As part of our cutting-edge team, you will collaborate with top-tier machine learning engineers and research scientists to bring self-driving technology to life, making a positive impact on society. We focus on creating advanced tech stacks that analyze complex driving environments and generate safe, comfortable trajectories for our robotaxi services using state-of-the-art deep neural networks.Your Role:As a Senior Machine Learning Engineer specializing in prediction, you will play a pivotal role in training, evaluating, and deploying our machine learning models for scene understanding, behavior prediction, and planning. Your daily responsibilities will include:Designing and conducting high-impact experiments through collaboration with fellow machine learning engineers.Prototyping and enhancing metrics for assessing the performance of our behavioral models across various scenarios and capabilities.Ensuring timely updates of major models, including detailed analysis of offline and on-road evaluation data.Staying abreast of the latest industry trends, proposing innovative architectures and network designs based on current literature.Maintaining a robust training and evaluation codebase, particularly focusing on dataset generation and evaluation.

About Air Space IntelligenceAt Air Space Intelligence (ASI), we are at the forefront of mission-critical technology that transforms decision-making across the aviation, defense, energy, and critical infrastructure sectors. Supported by leading investors such as Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI empowers organizations to achieve operational decision superiority—reducing days of analysis into mere seconds of actionable insights. Join us as we redefine the limits of possibility.Your Role:As a vital member of our engineering team, you will be responsible for designing and deploying robust production-grade systems that seamlessly integrate machine learning models into scalable software pipelines. You will develop and implement features that utilize machine learning to address real-world optimization and prediction challenges, leveraging cutting-edge technologies such as Kubernetes, AWS, and MLOps tools. Your approach will reflect a software engineer's mindset—focusing on reliability, maintainability, and high performance at scale.Our Core Values:Expertise in Python, along with experience in production machine learning tools and frameworks like TensorFlow, PyTorch, and scikit-learn.Hands-on experience with large language models (LLMs) in production settings, encompassing prompt engineering, fine-tuning, retrieval-augmented generation (RAG) systems, and frameworks such as LangChain.Deep understanding of data structures, algorithms, and software engineering principles.Familiarity with classical machine learning, deep learning with an emphasis on transformer architectures, and MLOps methodologies.Experience in building and maintaining scalable, reliable machine learning systems with comprehensive data pipelines, including proficiency with Apache Beam, MLflow, and similar tools.Dedication to high-quality machine learning engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines.A preference for simplicity and clarity when tackling complex challenges.An inquisitive mind and eagerness to collaborate with others.Strong communication skills and the ability to work effectively across cross-functional teams.Our Hiring Philosophy:We view the interview process not merely as a screening test but as an opportunity to simulate what it will be like to work together. Our hiring process is tailored around you.

Become a Force for Good at Axon.At Axon, our mission is to Protect Life. We are dedicated explorers, tackling society’s most pressing safety and justice challenges with our innovative ecosystem of devices and cloud software. Our collaborative culture fosters openness and empathy, drawing upon diverse perspectives from our customers, our communities, and each other.Life at Axon is dynamic, challenging, and deeply rewarding. Here, you will take ownership and drive meaningful change while growing alongside a purpose-driven team.Your ImpactWe are looking for exceptionally talented and forward-thinking Machine Learning Scientists to join our AI team, specializing in AI applications such as Large Language Models (LLM) and Computer Vision in Cloud, Devices, and Robotics. As a pivotal member of our research and development initiative, you will significantly contribute to the advancement of cutting-edge technologies like LLMs, Multimodal Large Language Models (MLLMs), Computer Vision, and Generative AI (GenAI) for law enforcement and beyond. You will work collaboratively with cross-disciplinary teams to design, develop, and implement innovative LLM, MLLM, and CV models and algorithms, enabling intelligent reasoning, perception, and comprehension of multimodal data.What You’ll DoLocation: Available in any city with an Axon Engineering Hub in the US, Vietnam, or EU (see https://www.axon.com/company)

Klaviyo is looking for an Engineering Manager to guide the Machine Learning Platform team in Boston, MA. This position leads a group of engineers focused on building and improving machine learning solutions that support Klaviyo’s products. Role overview The Engineering Manager will oversee the development and enhancement of the machine learning platform. This includes working closely with cross-functional partners to ensure the platform remains scalable and high-performing as it evolves. What you will do Lead and mentor a team of engineers working on machine learning initiatives Collaborate with other teams to deliver impactful projects Drive improvements in platform scalability and performance Help shape the direction of Klaviyo’s machine learning capabilities Requirements Experience managing engineering teams Background in machine learning platforms or related technologies Strong collaboration skills with cross-functional groups

WHOOP, a leading innovator in health and fitness wearables, is dedicated to enhancing human performance and extending healthspan. We empower our members by providing profound insights into their physical condition and daily habits. As part of our Health team, you will contribute to developing cutting-edge algorithms and features that enhance our health offerings. This role involves pioneering work in various domains including women’s health, medical-grade metrics, wellness monitoring, and longevity research, merging continuous physiological data with clinical research to create impactful health solutions. As a Senior Machine Learning Engineer, you will design, construct, and implement ML systems that deliver personalized health metrics to millions. Your expertise will bridge data science, backend engineering, and cloud infrastructure, focusing on robust, scalable ML solutions derived from physiological and behavioral data. Strong coding, system design skills, and the ability to produce production-ready ML services are essential for success in this position.

At WHOOP, we are revolutionizing health and fitness with our state-of-the-art wearable technology, dedicated to enhancing human performance and extending healthspan. Our innovative approach enables members to gain profound insights into their bodies, behaviors, and daily activities, empowering them to make healthier choices and achieve peak performance.We are on the lookout for a Senior Machine Learning Engineer to join our dynamic Foundation AI team. This team is responsible for developing the multimodal foundation models that drive WHOOP’s next generation of intelligent, personalized, and health-optimizing solutions. These models seamlessly integrate data from wearable sensors, linguistic inputs, biomarkers, clinical data, and self-reported metrics to build scalable AI systems that accurately understand human physiology and behavior.In this pivotal role, you will be a key individual contributor leading the research, development, and implementation of large-scale multimodal models. You will work collaboratively with data scientists, ML engineers, and cross-functional partners to advance the frontiers of deep learning and ensure that our models provide significant value to WHOOP members.

Join our innovative team at hike-medical as a Senior Machine Learning Engineer. In this pivotal role, you will harness state-of-the-art machine learning techniques to develop cutting-edge healthcare solutions. Your expertise will drive the design and implementation of robust algorithms, enhancing the efficiency and accuracy of our medical technologies.

At Lendbuzz, we are committed to transforming financial opportunities through personalized and equitable solutions. Our innovative technology empowers underserved borrowers to gain better access to credit. We foster a culture of diversity and inclusion, valuing independent thought and critical analysis.We are currently looking for a passionate Machine Learning Engineer Co-op to contribute to our team, particularly in the development of our sales and collection AI chatbot initiatives within our Language Understanding and Semantic Analysis group. The ideal candidate will be curious about the auto loan industry and eager to create practical applications using Large Language Models (LLMs). This role offers the opportunity to gain hands-on experience in large-scale data annotation, data cleaning, multilingual model evaluation, and product design.

Join our innovative Perception team at Zoox, where we harness the power of cutting-edge sensor data to decode the intricacies of dynamic driving environments. In this pivotal role, you will leverage world-class sensor data and a robust infrastructure to test and validate groundbreaking algorithms. Your contributions will be instrumental in developing advanced algorithms for segmentation, tracking, classification, and high-level scene understanding, allowing you to engage with any or all of these exciting components.As a Senior Staff Machine Learning Engineer, you will spearhead the creation of machine learning algorithms that significantly influence both onboard and offboard autonomy and validation processes. You will work collaboratively with specialized teams in Prediction, Planning, Simulation, and Safety Validation, shaping our overarching technical framework. Your innovative approach will bridge team boundaries, enabling the prototyping of new methodologies that guide the long-term technical vision across multiple divisions within the organization. The impact of your work will range from achieving immediate company objectives to leading pioneering exploratory initiatives.

Join the innovative Offline Driving Intelligence (ODIN) team at Zoox, where we harness cutting-edge AI technologies to develop algorithms that enhance our understanding of the world around us. Our focus is on utilizing large models primarily in offline environments to create impactful solutions for our self-driving robot, facilitating safe and efficient navigation through complex settings.As a vital member of the ODIN team, you will be tasked with the development of advanced multimodal large language models that significantly improve environmental comprehension. Your role will involve fine-tuning these models for off-vehicle analysis, collaborating closely with the onboard engineering team to implement solutions that enable our robotaxi platform to swiftly identify hazards and interpret driving restrictions with minimal latency. Working alongside a team of esteemed engineers and researchers, you will leverage high-quality sensor data and state-of-the-art infrastructure to validate your algorithms in real-world scenarios, making a direct contribution to the productivity, safety, and capabilities of Zoox's autonomous systems.

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 UsCyvl is an innovative tech startup based in Boston, reshaping the way governments map and manage their transportation infrastructure. Our cutting-edge hardware and software solutions utilize advanced 3D mapping sensors to collect LiDAR, imagery, and GPS data, seamlessly integrated into our clients' vehicles. This data is processed through our AI-driven cloud pipelines to produce actionable geospatial insights that optimize city operations, saving time, money, and resources.At Cyvl, our mission is to empower governments in constructing and maintaining public infrastructure they can be proud of. We accelerate decision-making through our sensors and Infrastructure Intelligence Platform. This role is pivotal for our intelligence extraction process, responsible for transforming millions of street-level images and dense LiDAR point clouds into structured, queryable knowledge about the physical realm.We are a dynamic and rapidly growing team that believes in addressing real-world challenges with authenticity, simplicity, and courage. Each team member is empowered to take initiative, achieve results, and make a lasting impact on the communities we serve.

Join the Innovative Team at SunoAt Suno, we are not just a music company; we are a creative powerhouse dedicated to igniting imagination through the magic of sound. Harnessing the capabilities of the world’s most advanced AI music model, we provide an exceptional creative platform, including our groundbreaking generative audio workstation, Suno Studio. We believe in empowering everyone—from shower singers to seasoned artists—to create, share, and discover music, making musical expression accessible to all.Role OverviewWe are seeking passionate early members of our research team to collaborate closely with our founding members. You will play a pivotal role in shaping the future of our machine learning initiatives by making critical technical decisions on the development and deployment of our cutting-edge ML models, boasting an H100/scientist ratio exceeding 100x.Explore the Suno job posting here!