Machine Learning Engineer

Hive is at the forefront of AI innovation, providing cloud-based solutions that enable organizations to understand, search, and generate content effectively. We are seeking a dynamic and experienced Machine Learning Manager to lead our talented team of engineers. In this role, you will foster a culture of growth, ensuring that each team member achieves their full potential while working with large-scale datasets. You will spearhead the development of groundbreaking machine learning models, encouraging experimentation and innovation. The ideal candidate will possess substantial experience in managing ML projects at scale, contribute creative ideas for model improvements, and mentor junior engineers to enhance their skills.

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 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.

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.

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.

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.

Charter:Join us as a pivotal member of a groundbreaking team dedicated to revolutionizing the field of toxicology by developing advanced AI systems that will replace traditional lab and animal experiments.What We Seek:We are on the lookout for exceptional individuals who can inspire those around them and drive the team towards greatness. Our ideal candidate is someone with high agency—able to identify priorities and take action. We value unique passions and hobbies that may seem niche but reveal a deep commitment and curiosity when explored. Candidates should approach challenges with both intentionality and a sense of wonder, embodying the spirit of exploration akin to an immigrant in a new land or a self-taught coder. A strong desire to learn and grow, coupled with technical excellence and a commitment to mastering one’s craft, is essential. We want those who are willing to tackle daunting challenges and derive satisfaction from the journey as much as the outcome.Your Responsibilities:Establish the foundational end-to-end ML/AI system, including wetlab data generation, data cleaning/processing, model architecture, training, inference, and deployment strategies.Lead innovative research and development initiatives focused on elucidating the interplay between chemistry and biology.Design and scale large models that are pretrained on paired chemistry and biological imagery.Conduct applied research aimed at optimizing, aggregating, and pooling embeddings.Become a thought leader in emerging and underexplored domains, such as molecular graph representations and generative diffusion for biological applications.Develop entrepreneurial skills alongside engineering expertise by creating impactful solutions that deliver substantial value for scientists.Deliver outstanding technology and products that redefine industry standards.Preferred Attributes:...

Join our dynamic Personalization team at Boomtrain as a Machine Learning Engineer. We are in search of a skilled engineer who will play a pivotal role in developing and enhancing our recommendation systems that cater to a variety of customers.In this role, you will collaborate with a talented team dedicated to designing and implementing innovative models and systems that deliver personalized recommendations. You will have the opportunity to work on complex engineering challenges and contribute to generating hundreds of millions of recommendations daily.This position offers a unique chance to engage in end-to-end project work and make a significant impact on our personalization initiatives.Key Responsibilities:Research and propose advanced recommendation and optimization models to enhance our personalization systems.Develop and maintain offline model generation pipelines.Design and maintain online recommendation serving systems.

Join Hive as a Senior Machine Learning Engineer and help shape the future of AI! We are seeking passionate individuals who excel at developing and deploying cutting-edge deep learning models. In this role, you will work with large-scale datasets to create innovative machine learning solutions, collaborating closely with a talented team of engineers to push the boundaries of artificial intelligence. Ideal candidates will have a proven track record of building and scaling machine learning projects from conception to production, along with a strong commitment to continuous learning and personal ownership in their work.

Join our innovative team at Aarki Inc. as the Director of Machine Learning! In this pivotal role, you will lead our machine learning initiatives, driving the development of cutting-edge algorithms and models that enhance our data-driven solutions. You will collaborate with cross-functional teams to translate complex data into actionable insights, all while fostering a culture of learning and innovation.

Bland Inc. seeks a Machine Learning Researcher specializing in Multimodal Large Language Models (LLMs) to join the team in San Francisco. The focus is on advancing AI systems that integrate language with other types of data. Role overview This position centers on research and development aimed at improving how AI models process and understand information from multiple sources, such as text combined with images or other modalities. What you will do Investigate how language interacts with additional data types within multimodal LLMs Create and evaluate new methods to enhance AI model performance Work closely with colleagues on projects designed to push the boundaries of machine learning Location This role is based in San Francisco.

About the Role Lyft Ads is looking for a Data Science Manager with a focus on Machine Learning. This position is based in San Francisco, CA. What You Will Do Lead a team of data scientists working on advertising solutions Guide the development and optimization of machine learning algorithms Improve user targeting methods to increase advertising effectiveness Analyze large datasets to support strategic decisions across Lyft Ads Shape advertising performance and influence user engagement through data-driven insights What We’re Looking For Experience managing data science teams Strong background in machine learning and algorithm development Ability to work with large-scale datasets Skilled at translating analysis into actionable business strategies

Join our innovative Match Team as a Senior Machine Learning Engineer at Enigmaio, where you will play a pivotal role in developing advanced algorithms and models that enhance our matching capabilities. You will collaborate with cross-functional teams to design, implement, and optimize machine learning solutions that drive business outcomes.