Machine Learning Manager

Join Sesame as a Technical Program Manager specializing in Machine Learning, where you will lead cross-functional teams to innovate and implement cutting-edge ML solutions. You will be at the forefront of driving initiatives that enhance our technology capabilities and improve user experiences.

Join the Anthropic Fellows Program where you will delve into the exciting world of Machine Learning Systems & Performance. This unique opportunity allows you to work alongside some of the brightest minds in AI research and development, tackling complex challenges and contributing to groundbreaking projects that aim to enhance the capabilities of machine learning systems.

As a Technical Staff Member specializing in Machine Learning, you will:Engage in the complete development lifecycle of innovative large-scale deep learning models.Curate datasets, architect solutions, implement algorithms, and train and assess models to enhance our offerings.Work collaboratively with engineers and researchers to convert groundbreaking research into real-world applications.Join us at a pivotal time, take on diverse roles, and contribute to building transformative products from the ground up!

Join CoreWeave as a Product Technical Program Manager focusing on Weights & Biases, where you will spearhead the execution of innovative customer-facing features, including Models and Weave. Collaborating with Product Management, Engineering, Design, and Go-to-Market teams, you will guide programs from inception to launch, ensuring exceptional quality, predictable outcomes, and robust user adoption. This role demands a blend of strategic vision and hands-on execution, translating product strategies into actionable plans while effectively managing dependencies and risks to drive measurable customer and business impact.

At Gimlet Labs, we are pioneering the development of the first heterogeneous neocloud designed specifically for AI workloads. As the demand for AI systems surges, traditional homogeneous infrastructures face critical limits in power, capacity, and cost. Our innovative platform effectively decouples AI workloads from their hardware foundations, intelligently partitioning tasks and orchestrating them to the most suitable hardware for optimal performance and efficiency. This strategy fosters heterogeneous systems that span multiple vendors and generations, including cutting-edge accelerators, enabling significant enhancements in performance and cost-effectiveness at scale.In addition to this foundational work, Gimlet is establishing a robust neocloud for agentic workloads. Our clients benefit from deploying and managing their workloads via stable, production-ready APIs, without the need to navigate hardware selection or performance optimization intricacies.We collaborate with foundation labs, hyperscalers, and AI-native companies to drive real production workloads capable of scaling to gigawatt-class AI datacenters.We are currently seeking a Member of Technical Staff specializing in ML systems and inference. In this pivotal role, you will be responsible for designing and constructing inference systems that facilitate the execution of complete models in real production environments. You will operate at the intersection of model architecture and system performance to ensure that inference processes are swift, predictable, and scalable.This position is perfect for engineers with a deep understanding of modern model execution and a passion for optimizing latency, throughput, and memory utilization across the entire inference lifecycle.

Join the prestigious Anthropic Fellows Program, where you'll have the opportunity to delve into cutting-edge research in Reinforcement Learning. This program is designed for individuals passionate about advancing AI safety and developing innovative solutions. As a fellow, you will collaborate with a team of experts, engage in impactful projects, and contribute to a progressive research environment.

Join Orchard as a Machine Learning Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you will leverage your expertise in machine learning algorithms and data analysis to develop innovative solutions that enhance our products and services.We are looking for a proactive team player who thrives in a fast-paced environment and possesses strong problem-solving skills. You will collaborate with cross-functional teams, engage with large datasets, and contribute to the design and implementation of machine learning models.

About SunoSuno is revolutionizing the music industry by harnessing the power of advanced AI technology to inspire creativity. Our innovative platform, which includes the groundbreaking Suno Studio, provides an exceptional generative audio workstation designed for everyone—from casual singers to aspiring songwriters and seasoned musicians. Suno is dedicated to empowering a diverse global community to create, share, and explore music, celebrating the joy of musical expression for all.About the RoleWe are seeking a visionary leader to spearhead our recommendations team at Suno. In this pivotal role, you will be at the forefront of developing our music discovery and recommendation systems, shaping how millions of users engage with music on our platform. Your expertise will drive the evolution of our systems while fostering a collaborative and innovative team environment.This position is ideal for an individual with extensive experience in scaling recommendation systems and a passion for crafting a superior user experience. If you are excited to apply your skills in a dynamic setting and lead a talented team, we want to hear from you!Discover more about this role at Suno!What You'll DoDefine and execute Suno's vision and strategy for recommendations, setting the technical direction for the team.Collaborate with leaders across product, engineering, and research to ensure our recommendations evolve in alignment with platform growth.Lead the design and development of a comprehensive recommendation system, from initial prototyping to large-scale deployment.Recruit, mentor, and expand a high-performing recommendations team.What You'll NeedA minimum of 5 years of experience in building large-scale recommendation systems, with at least 2 years in a leadership role overseeing development.Profound technical knowledge of cutting-edge technologies and methodologies in recommendation systems, along with a pragmatic approach to implementation.Exceptional collaborative skills with a proven ability to influence cross-functional teams.A genuine passion for Suno's mission and a keen interest in shaping the future of music discovery.Bachelor’s degree or equivalent experience.Additional Notes: Candidates must be eligible to work in the United States.This role requires onsite presence in San Francisco.

Join Pinterest as a Manager II in Machine Learning Engineering and lead a team of talented engineers and data scientists in developing innovative machine learning solutions. You will play a crucial role in driving the technical direction of our projects, ensuring the delivery of high-quality models and algorithms that enhance user experience and engagement. You will collaborate with cross-functional teams and stakeholders to understand business needs and translate them into technical requirements.

Join Handshake as a Machine Learning Engineer I, where you will have the opportunity to work on cutting-edge machine learning projects that drive our innovative solutions. Collaborate with a talented team to develop algorithms and models that enhance our product offerings and improve user experiences.

Join Our Innovative Team at HiveHive is at the forefront of cloud-based AI solutions, revolutionizing how organizations understand, search for, and generate content. Trusted by many of the world's largest and most groundbreaking companies, we empower developers with premier pre-trained AI models that handle billions of API requests monthly. Our turnkey software applications leverage proprietary AI models and datasets, driving transformative advancements in content moderation, brand protection, sponsorship measurement, and context-based ad targeting.With over $120M in funding from prominent investors like General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive is rapidly expanding. Our dynamic team of over 250 employees operates from our San Francisco, Seattle, and Delhi offices. If you are passionate about shaping the future of AI, we invite you to explore opportunities with us!About the Machine Learning Engineer RoleAs we strive to achieve our ambitious vision, we seek exceptional machine learning engineers to join our team. We are looking for enthusiastic developers who are eager to remain at the cutting edge of deep learning technology, designing and deploying state-of-the-art neural network models into production. Our ideal candidates thrive in working with large-scale datasets and demonstrate a keen interest in mastering new technologies across the machine learning spectrum. We value individuals who are proactive and take ownership of their projects, contributing innovative ideas and practical implementations. Experience in building machine learning applications from the ground up and designing scalable, maintainable data pipelines is essential.

Join Handshake as an Associate Machine Learning Engineer and embark on an exciting journey in the world of artificial intelligence and machine learning. In this role, you will collaborate with a talented team to develop innovative solutions that leverage cutting-edge technologies. You'll have the opportunity to contribute to real-world projects, enhancing your skills while driving impactful results.

Role overview Decagon seeks a Technical Program Manager based in San Francisco to coordinate work across multiple teams and deliver new technical solutions. This position guides projects from initial planning through completion, ensuring schedules stay on track and technical milestones are achieved. What you will do Lead cross-functional teams to meet project goals Track project progress and adjust plans when necessary Share updates and collect feedback from stakeholders Clarify and verify technical requirements throughout each project Help advance Decagon’s strategic programs through strong program management

About Our TeamAt OpenAI, our Applied team is dedicated to responsibly introducing cutting-edge technology to the world. We are the creators of innovative products like ChatGPT, Advanced Voice Mode, and Deep Research, all while ensuring scalable infrastructure and safe deployment practices. Our clients trust our APIs to revolutionize their offerings, and we are committed to fostering responsible usage and maintaining platform integrity.Within this team, the Integrity division plays a critical role in protecting our platform by proactively identifying misuse, preventing abuse, and ensuring user safety. We are looking for an experienced, hands-on Engineering Manager (Web Safety) to guide our strategic direction, develop advanced system protections, and lead a specialized team of seasoned Machine Learning Engineers (MLEs).Key ResponsibilitiesDesign and implement next-generation system protections, involving hands-on design, model training, and deployment strategies.Lead and mentor a small, senior team of Machine Learning Engineers, providing them with clear guidance and autonomy.Collaborate with Research, Safety, Product, and Policy teams to harness existing tools and propel cutting-edge advancements.Leverage state-of-the-art models for effective detection and prevention of problematic content.Establish robust evaluation frameworks and metrics to gauge progress and pinpoint areas for enhancement.Foster professional development within your team, ensuring high performance through mentorship and clear career paths.Ideal Candidate ProfilePossess extensive hands-on experience managing machine learning teams, preferably in web safety, content integrity, or related fields.Demonstrated success in training, fine-tuning, or distilling LLMs and traditional ML models to address real-world business challenges.Enjoy being technically involved—actively engaging in solution design, model training, and guiding deployment processes with your team.Excel at cross-team collaboration to integrate existing tools and thoughtfully develop new solutions.Exhibit strong emotional intelligence and empathy, effectively connecting with team members.Embrace ambiguity and fast-paced changes as opportunities to create clarity, structure, and impactful solutions.

OverviewPulse is revolutionizing data infrastructure by addressing the critical challenge of extracting accurate, structured information from complex documents on a large scale. Our innovative approach to document understanding integrates intelligent schema mapping with advanced extraction models, outperforming traditional OCR and parsing methods.As a dynamic and rapidly growing team of engineers based in San Francisco, we empower Fortune 100 companies, Y Combinator startups, public investment firms, and growth-oriented businesses. With the backing of top-tier investors, we are on an exciting growth trajectory.What sets our technology apart is our cutting-edge multi-stage architecture:Layout comprehension with specialized component detection modelsLow-latency OCR models designed for targeted data extractionAdvanced algorithms for determining reading order in complex formatsProprietary table structure recognition and parsing capabilitiesFine-tuned vision-language models for interpreting charts, tables, and figuresIf you are passionate about the convergence of computer vision, natural language processing, and data infrastructure, your contributions at Pulse will directly influence our customers and shape the future of document intelligence.

Be Part of the Future of Autonomous RoboticsAt Bedrock Robotics, we are pioneering the transition of AI from theoretical frameworks to practical applications in the built environment. Our team is comprised of seasoned professionals who have been instrumental in the success of innovative companies such as Waymo, Segment, and Uber Freight. We are at the forefront of deploying autonomous technologies in heavy construction machinery, significantly enhancing the efficiency and safety of multi-billion dollar infrastructure projects across the nation.With backing from $350 million in funding, our mission is to address the urgent need for housing, data centers, and manufacturing facilities, while simultaneously responding to the construction industry's labor shortages.This position is where cutting-edge algorithms meet the practical world of construction. You will work alongside industry experts and top-tier engineers to tackle complex real-world challenges that cannot be simulated. If you are eager to leverage advanced technology for impactful problem-solving within a skilled team, we encourage you to apply.

About Hive Hive stands at the forefront of cloud-based AI solutions, revolutionizing the way organizations understand, search, and generate content. Trusted by some of the largest and most innovative companies globally, Hive empowers developers with a robust collection of pre-trained AI models that handle billions of API requests each month. Our turnkey software applications utilize proprietary AI models and datasets, enabling transformative use cases in various sectors, including content moderation, brand protection, and context-based ad targeting. As we continue to grow with over $120M in funding from esteemed investors such as General Catalyst and Bain & Company, we are excited to expand our global team of over 250 talented professionals across our San Francisco, Seattle, and Delhi offices. Join us in pioneering the future of AI!Position Overview: Senior Machine Learning EngineerTo propel our ambitious vision forward, we are seeking a dynamic Senior Machine Learning Engineer to join our elite team. This role is perfect for individuals eager to lead the charge in deep learning technology, where you will design, prototype, and deploy cutting-edge neural network models into production. We value candidates who thrive on solving complex challenges with terabyte-scale datasets, are enthusiastic about mastering new technologies across the machine learning spectrum, and take initiative in driving their projects to completion. The ideal candidate will possess a proven track record of developing a machine learning project from inception to deployment, contribute groundbreaking ideas and innovative implementations, and demonstrate the ability to architect scalable, maintainable data pipelines that optimize our AI solutions.

Join Boomtrain as a Senior Product Manager and play a pivotal role in transforming digital experiences through the power of machine learning and personalization. As a product leader, you will embody the role of a CEO for your product, overseeing the entire lifecycle including roadmap, strategy, design, launch, metrics, and continuous improvement. Your expertise will guide our product and design-led culture as you make strategic choices to build exceptional products.Your journey starts with understanding user needs, clearly articulating the purpose behind our products, and defining the metrics for success. This position is not just about managing a product; it’s about shaping the direction of our business.As a Senior Product Manager, your responsibilities will include:Leading innovative product development initiatives alongside Boomtrain’s executive team, engineers, and designers.Conducting customer interviews and in-depth industry research to translate findings into actionable project requirements.Becoming a domain expert in your product area, analyzing competitive landscapes and adapting to evolving market needs in alignment with Boomtrain’s mission.Owning the outcomes of your team’s projects and initiating design and engineering sprints for ongoing enhancements.Collaborating with marketing teams to devise effective go-to-market strategies, positioning, and messaging.

Astranis Space Technologies Corp. is at the forefront of satellite innovation, crafting advanced satellites designed for high orbits that extend humanity's reach into the cosmos. Our satellites deliver dedicated and secure communications networks to a diverse clientele, including large enterprises, sovereign governments, and the U.S. military. With five satellites successfully in orbit and numerous launches on the horizon, we are addressing a backlog of over $1 billion in commercial contracts.As a trusted partner in satellite communications, we cater to clients with rigorous demands for reliability, data security, network visibility, and tailored solutions. Backed by over $750 million in funding from leading investors such as Andreessen Horowitz, Blackrock, and Fidelity, our team of 450 engineers and entrepreneurs operates from a 153,000 sq. ft. state-of-the-art headquarters in Northern California.Technical Program Manager, USG ProgramsAs a Technical Program Manager focused on U.S. Government programs, you will be pivotal in steering the execution of Astranis's satellite initiatives from initial concept to final delivery. Reporting directly to the Director of USG Programs, you will be responsible for program outcomes related to schedule, budget, risk management, and customer engagement. This role demands a combination of programmatic leadership and technical expertise, engaging in hands-on problem solving while maintaining strategic oversight. You will conduct trade studies to enhance mission system architectures, facilitate coordination across spacecraft and ground segments, and ensure all technical, contractual, and mission requirements are fulfilled. Additionally, you will help refine and scale our USG program execution frameworks and cross-functional processes as our portfolio grows.Key ResponsibilitiesOversee government-related program execution from inception to completion, encompassing small internal R&D projects to comprehensive multi-spacecraft missions.Establish, manage, and communicate program schedules, budgets, and resource allocations to guarantee successful project delivery.Lead the risk management process, including documentation, tracking of mitigation strategies, and approval of risk closures.Ensure that programs meet all technical and programmatic specifications by monitoring and reporting key performance indicators.Conduct regular internal and external program reviews, emphasizing schedule trends, risks, and progress against significant milestones.Act as the primary liaison for government programs, leading design reviews, reporting, and milestone readiness assessments.Collaborate with engineering, operations, and mission assurance teams to ensure alignment on requirements, interfaces, and design development.