1036 Machine Learning jobs in San Francisco

Join to apply for the Machine Learning Engineer role at Kaedim 1 year ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer role at Kaedim Get AI-powered advice on this job and more exclusive features. This range is provided by Kaedim. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $100,000.00/yr - $80,000.00/yr Hi there! My name is Konstantina, I’m the founder of Kaedim. The inspiration for starting Kaedim came back in 2019 when I took a 3D modelling and a 3D animation course at university while studying Computer Science. I remember thinking, “How hard can it be?” The answer turned out to be: very. From trying to address my own frustration, fast forward six years later: we are helping hundreds of game, product design, and e-commerce companies accelerate their 3D asset production pipelines in their daily work. We are supporting one of the top 10 games of all times as well as the largest e-commerce platform. we are profitable since 9 months post-launch we have raised our Series A from tier 1 Silicon Valley investors The problem we are working towards solving is incredibly hard, but it’s what makes our work unique and rewarding. We are building Kaedim one day at a time and looking for ambitious people to join our mission. If you're driven and ready to solve complex problems, Kaedim is the place for you! Here is how we work: GitHub link. Check out our recent demo and our website. Please Note: The salary ranges provided above are specific to San Francisco. Below are the corresponding salary ranges for other locations, based on 0-5 years of experience: London: £45k – £80k Singapore: S$80k – S$145 For Working With Us You Must be eager to be involved with both AI and product dev. Must have done this before, or be willing to learn fast. Must be customer driven. We think customers first and so should you. Must be driven to go above and beyond. Must be able to explain and communicate clearly. Must be able to work autonomously. Must want to work hard. Must be a strong communicator, capable of justifying decisions, proposing new ideas and explaining ML concepts to the rest of the team Responsibilities Coming up with solutions to hard problems Making proof of concepts Coming up and implementing improvements on existing ML algorithms Bringing other team members up to speed Report on key ML-related KPIs Iterate based on customer feedback Nice to haves Experience with 3D modelling would be a big plus Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Kaedim by 2x Get notified about new Machine Learning Engineer jobs in San Francisco, CA . San Francisco, CA 130,000.00- 230,000.00 5 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Machine Learning Engineer (I, II, or Sr.) San Francisco, CA 140,000.00- 180,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA 140,000.00- 160,000.00 5 months ago Research Engineer - Machine Learning (ML) San Francisco, CA 140,000.00- 160,000.00 4 months ago San Francisco, CA 130,000.00- 238,000.00 2 weeks ago San Francisco, CA 150,000.00- 250,000.00 3 weeks ago San Francisco, CA 140,000.00- 215,000.00 3 weeks ago San Francisco, CA 150,000.00- 260,000.00 4 months ago San Mateo, CA 140,000.00- 210,000.00 3 weeks ago San Francisco, CA 140,000.00- 290,000.00 7 months ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA 176,000.00- 220,000.00 3 weeks ago San Francisco, CA 160,000.00- 180,000.00 2 days ago San Francisco, CA 100,000.00- 300,000.00 2 weeks ago Machine Learning Engineers (Open-Endedness) - Open Level San Francisco, CA 175,000.00- 225,000.00 7 months ago San Francisco, CA 200,000.00- 300,000.00 4 months ago Machine Learning Engineer, Identity Product San Francisco, CA 140,000.00- 200,000.00 4 days ago San Mateo, CA 195,000.00- 255,000.00 7 months ago San Francisco, CA 180,000.00- 270,000.00 3 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

We are currently looking for a Machine Learning Engineer . This position is located in the San Francisco area. As a Machine Learning Engineer, you will be part of the NotCo AI group. You will work with a multifaceted team of ML & Software Engineers, UI/UX Designers, Experimental Chefs, and Food Scientists to revolutionize the way plant-based and sustainable foods are created. Our tech platform utilizes predictive & generative models, optimization algorithms, as well as in-house data warehousing infrastructure that allows us to relate nutritional, physicochemical, and molecular data to find new discoveries for novel plant-based products. Role & Responsibilities: Research, develop, and deploy machine learning systems onto the Giuseppe platform for food science & technology applications. Brainstorm with Experimental Chefs & Food Scientists to find data and ML-driven solutions for problems arising with new product development. We develop products ranging from plant-based milks to plant-based meats, so there are always engaging challenges to solve. Lead new machine learning initiatives end-to-end, from proposal to deployment. This requires having strong research, project management & communications skills and the potential to lead a small team. Analyze and debug issues with currently deployed models & suggest improvements to data, algorithms, or workflows. Identify new datasets that could help improve the performance of current algorithms. Read & implement recent ML papers that are relevant to our scope of work (e.g. implement a self-supervised algorithm proposed in a 2020 ICML paper). Dive into the domain of food science: be interested in learning about proteins, volatile molecules & the food industry in general. Contribute in general to department and organization projects. Requirements: BS/MS in Computer Science or a related field with a focus on machine learning 3+ years of working experience in an Applied Machine Learning group Strong background in software engineering, unit & functional testing (Python, unittest, nose) Strong data science analytical skills with a traditional data science and Deep Learning stack (Python, PyTorch, Pandas, NumPy, SciPy, Scikit-learn, Jupyter, Matplotlib, Hugging Face, LangChain, Polars, etc.) Prior experience with implementing & training Deep Learning models; prior experience with training models on cloud infrastructure on GPU/TPU Familiarity with model packaging & deployment (Docker, Kubernetes, Google Cloud Platform) In-depth knowledge in one or several of the following areas preferred: Representational Learning, Generative Models, Transformers, bandit algorithms & convex optimizers Authorization to work in the U.S. is required NotCo is committed to fair and equitable compensation practices. The pay range for this role is $150,000 - $175,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr

Machine Learning Engineer at LMArena Location: SF Bay Area/Remote Type: Full-Time About the Role: LMArena is seeking a Senior Machine Learning Engineer to help scale and strengthen the core infrastructure that powers real-world AI evaluation. You’ll play a foundational role in shaping how we build, deploy, and improve our model benchmarking systems, working across data pipelines, inference APIs, and new evaluation methodologies. This is an opportunity to apply your technical expertise to a platform trusted by millions, and to help define how cutting-edge AI is assessed in the wild. As one of the first ML engineers on the team, you’ll partner closely with researchers, engineers, and product leadership to turn new ideas into reliable systems. You’ll help us move fast while staying rigorous, improving reproducibility, scaling up to new modalities, and deepening our ability to understand and compare frontier models. Responsibilities: Architect and build what will become our core modeling for data and evaluation products Own the full stack data, model training, and eval pipelines Help grow a culture of feedback and rapid product iteration as we build new features as a tight-nit team Conduct research into state-of-the-art evaluation methods and contribute to the long-term vision for a centralized, scalable evaluation platform. Who is LMArena? Created by researchers from UC Berkeley’s SkyLab , LMArena is an open platform where everyone can easily access, explore and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage. Why Join Us? Trusted by organizations like Google, OpenAI, Meta, xAI, and more, LMArena is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback. Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI. Sundar Pichai , Jeff Dean , Elon Musk , and Sam Altman . High Impact : Your work will be used daily by the world’s most advanced AI labs. Global Reach : Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tier Exceptional Team : We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford. Requirements: Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack Experience in deep learning, language models or reward model training Experience in working with LLM for fine tuning, prompt engineering, function calling etc Self-motivated with a willingness to take ownership of tasks A passion for shipping quality products 4+ years of industry experience or relevant projects Solid understanding of statistics, and various tools and methodologies for evaluating uncertainty in a way that is specific to the given product being shipped What we offer: 210k - 250k + equity. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location. Competitive salary and meaningful equity Comprehensive healthcare coverage (medical, dental, vision) The opportunity to work on cutting-edge AI with a small, mission-driven team A culture that values transparency, trust, and community impact Come help build the space where anyone can explore and help shape the future of AI. #J-18808-Ljbffr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines. Responsibilities Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed Interface closely with the Backend and DevOps teams as well as with our internal data labeling services Utilize OWASP top 10 techniques to secure code from vulnerabilities Maintain awareness of industry best practices for data maintenance handling as it relates to your role Adhere to policies, guidelines and procedures pertaining to the protection of information assets Report actual or suspected security and/or policy violations/breaches to an appropriate authority Requirements You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics You have 1-2 years industry machine learning experience You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others You know the ins and outs of Python, especially as it applies to the above ML frameworks You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice You have great communication skills and ability to work with others You are a strong team player, with a do-whatever-it-takes attitude Who We Are We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company. Thank you for your interest in Hive and we hope to meet you soon! The current expected base salary for this position ranges from $20,000 - 180,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here. #J-18808-Ljbffr

Get AI-powered advice on this job and more exclusive features. We are seeking a highly motivated Machine Learning Engineer with expertise in object detection —especially using frameworks like YOLO to join our growing AI team. This role will focus on developing, training, and deploying object detection models in production environments. The ideal candidate has experience working with large-scale image datasets, deploying ML models using AWS infrastructure , and is eager to build end-to-end ML pipelines from experimentation to deployment. Key Responsibilities: Develop and fine-tune object detection models using YOLO or similar frameworks (e.g., Faster R-CNN , SSD ). Build scalable training pipelines and manage datasets for detection tasks. Optimize model performance (accuracy, inference speed) for edge or cloud deployment. Design and implement end-to-end ML workflows, from data preprocessing to deployment. Containerize models and deploy them using AWS services (SageMaker, Lambda, ECS, etc.). Collaborate with product, data, and backend teams to integrate models into production systems. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Solid experience with object detection frameworks ( YOLOv5 , YOLOv8 , etc.). Proficiency in Python and ML libraries such as PyTorch or TensorFlow. Experience training custom models on real-world datasets. Familiarity with AWS services (S3, EC2, SageMaker, Lambda, etc.). Understanding of Docker, REST APIs, and CI/CD pipelines. Nice to Have: Experience deploying models to edge devices or mobile environments. Knowledge of model optimization techniques (ONNX, TensorRT, quantization). Familiarity with MLOps practices and tools like MLflow, Kubeflow, or Airflow. Experience with ROS2 Benefits at OpenMind: Extensive 401(k) plan with company matching Medical, dental, vision and life insurance Unlimited PTO Flexible with visa sponsorship Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at OpenMind by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. San Francisco, CA $130,000.00-$30,000.00 5 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Machine Learning Engineer (I, II, or Sr.) San Francisco, CA 140,000.00- 180,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA 140,000.00- 160,000.00 5 months ago Research Engineer - Machine Learning (ML) San Francisco, CA 140,000.00- 215,000.00 3 weeks ago San Francisco, CA 140,000.00- 160,000.00 4 months ago San Francisco, CA 130,000.00- 238,000.00 2 weeks ago San Francisco, CA 100,000.00- 180,000.00 1 year ago San Francisco, CA 150,000.00- 250,000.00 3 weeks ago San Francisco, CA 150,000.00- 260,000.00 4 months ago San Mateo, CA 140,000.00- 210,000.00 3 weeks ago San Francisco, CA 140,000.00- 290,000.00 7 months ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA 176,000.00- 220,000.00 3 weeks ago San Francisco, CA 190,000.00- 355,000.00 2 weeks ago San Francisco, CA 160,000.00- 180,000.00 3 days ago San Francisco, CA 100,000.00- 300,000.00 2 weeks ago Machine Learning Engineers (Open-Endedness) - Open Level San Francisco, CA 175,000.00- 225,000.00 7 months ago Machine Learning Engineer, Identity Product San Francisco, CA 200,000.00- 300,000.00 4 months ago San Francisco, CA 140,000.00- 200,000.00 4 days ago San Mateo, CA 195,000.00- 255,000.00 7 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

1 week ago Be among the first 25 applicants Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). About Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What You'll Do Docusign is looking for a passionate, talented, and collaborative Machine Learning Engineer to join their AI Infrastructure team. This team builds DocuSign's centralized platform for creating, managing, and deploying advanced AI/ML solutions to enhance customer journeys within the Docusign Agreement Cloud. As a Machine Learning Engineer, you'll support all aspects of the machine learning lifecycle, including the research platform, training and deployment pipelines, and labeling and serving infrastructure. You'll also partner with expert applied researchers specializing in areas like document understanding, natural language processing (NLP), and computer vision to prototype and productionize solutions for real business use cases at scale. This is an individual contributor role reporting to the Senior Manager, Machine Learning. Responsibility Collaborate with Applied Science, Product and other engineers across multiple offices and time zones to create and deliver new machine learning products and features on time Contribute to the development of AI infrastructure by building highly scalable gRPC-based services to enable offline and online machine learning pipelines, ensuring enterprise-grade security and reliability Develop systems to optimize and create AI-assisted data labeling processes while maintaining appropriate and thorough data governance and security standards Contribute to the development of scalable model training infrastructure to minimize the time it takes to deploy the candidate models to production Optimize model performance (including open source and licensed LLMs) in production leveraging best practices for CPU/GPU inference on NVIDIA Triton with TensorRT / ONNX Improve platform observability by implementing tools and required infrastructure to monitor and analyze the performance of deployed AI services Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. What You Bring Basic Minimum of 5 years of related experience with a Bachelor's degree; or 3 years of related experience with a Master's degree; or a PhD without experience; or equivalent experience Experience building/consuming RESTful and gRPC based web-services Experience with CI/CD build pipelines, integrated tests, and test-driven development Experience with cloud deployment technologies, such as Kubernetes or Docker containers Experience with designing and scaling fullstack or distributed backend systems Experience with Java, Python or similar programming languages Preferred Experience building machine learning products, data pipelines, or machine learning training and deployment systems Experience with deployment and monitoring of machine learning models Ability and desire to move across technology stacks fluently and easily Experience with LLMs Familiarity with NLP, Computer Vision domains Familiarity with Open AI APIs and libraries Wage Transparency Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the below details pay ranges in the following locations: California: $157,500.00 - $54,350.00 base salary Washington, Maryland, New Jersey and New York (including NYC metro area): 151,200.00 - 222,450.00 base salary This Role Is Also Eligible For The Following Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance. Stock: This role is eligible to receive Restricted Stock Units (RSUs). Global Benefits Provide Options For The Following Paid Time Off: earned time off, as well as paid company holidays based on region Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment Retirement Plans: select retirement and pension programs with potential for employer contributions Learning and Development: options for coaching, online courses and education reimbursements Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at for assistance. Applicant and Candidate Privacy Notice States Not Eligible for Employment This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming. Equal Opportunity Employer It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category. EEO Know Your Rights poster Nice-to-have skills Machine Learning Computer Vision Kubernetes Docker Java Python San Francisco, California Work experience Machine Learning Computer Vision NLP Languages English Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at TieTalent by 2x Get notified about new Machine Learning Engineer jobs in San Francisco, CA . San Francisco, CA 130,000.00- 230,000.00 5 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Machine Learning Engineer (I, II, or Sr.) San Francisco, CA 140,000.00- 180,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA 140,000.00- 160,000.00 5 months ago Research Engineer - Machine Learning (ML) San Francisco, CA 140,000.00- 215,000.00 3 weeks ago San Francisco, CA 140,000.00- 160,000.00 4 months ago San Francisco, CA 130,000.00- 238,000.00 2 weeks ago San Francisco, CA 100,000.00- 180,000.00 1 year ago San Francisco, CA 150,000.00- 250,000.00 3 weeks ago San Francisco, CA 150,000.00- 260,000.00 4 months ago San Mateo, CA 140,000.00- 210,000.00 3 weeks ago San Francisco, CA 140,000.00- 290,000.00 7 months ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA 176,000.00- 220,000.00 3 weeks ago San Francisco, CA 190,000.00- 355,000.00 2 weeks ago San Francisco, CA 160,000.00- 180,000.00 3 days ago San Francisco, CA 100,000.00- 300,000.00 2 weeks ago Machine Learning Engineers (Open-Endedness) - Open Level San Francisco, CA 175,000.00- 225,000.00 7 months ago Machine Learning Engineer, Identity Product San Francisco, CA 200,000.00- 300,000.00 4 months ago San Francisco, CA 140,000.00- 200,000.00 4 days ago San Mateo, CA 195,000.00- 255,000.00 7 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

• Working with incredibly smart and ambitious people. The team is comprised of serial founders who are already launched and sold start ups.
• We are working with Silicon Valley's top AI labs.

• We hit unicorn status!
• We are already profitable! We have an 8-figure revenue run rate, growing 50% MoM, forecasted to hit 9 figures in 2025.
• Top investors.

• You have an education that has prepared you for a high caliber career.
• You're ready to catapult your career with serial successful founders to continue to propel this unicorn start up.
• You're a strong communicator with charisma and high energy.
• You're comfortable with product ownership and guiding yourself through complex challenges undirected.
• You pay attention to detail particularly in terms of producing high-quality, stable code that can support rapid scaling.
• You have a strong belief in regularly testing and using the things you build, and a strong sense of ownership for everything you've developed

• Equinox membership
• $10k housing stipend if you live near the office.
• Free food in the office- you can order whatever you want.
• Healthcare.
• Unlimited PTO.

Medeloop seeks a Machine Learning Engineer with a deep theoretical foundation in machine learning and artificial intelligence to develop the next-generation AI solutions in healthcare & clinical research.The ideal candidate combines years of hands-on industry experience with a strong academic foundation and a track record of leading impactful AI initiatives. You will design and deploy state-of-the-art machine learning models, agentic workflows, and data pipelines, while collaborating with multidisciplinary teams to influence Medeloop’s technological direction. Key Responsibilities: Drive the development of cutting-edge machine learning models and frameworks to address complex challenges in healthcare data. Partner with the Head of Engineering and other leaders to shape Medeloop’s AI strategy. Architect, train, and deploy machine learning models for large-scale, high-impact healthcare datasets. Engage with researchers and healthcare professionals to understand their challenges and deliver tailored solutions. Stay at the forefront of machine learning advancements, contributing to the company’s position as a leader in AI for healthcare. Who You Are: A strong understanding of traditional & theoretical machine learning (emphasis in NLP and reinforcement learning), mathematical modeling, and statistical methods. Experience working with vector databases and semantic search engines. 2+ years of experience in machine learning engineering, with a proven ability to bridge theoretical insights and industry applications. Expertise in popular machine learning frameworks such as PyTorch, Hugging Face, SageMaker, Weights & Biases, etc. Experience with both training and evaluating ML models. Proficiency in AWS infra, CDK, and experience with distributed learning. Ability to bridge data engineering and machine learning engineering. An out-of-the-box thinker who embraces unsolved challenges. Ability to work in a fast-paced environment and play multiple roles. Bonus: A strong publication record in leading AI or machine learning conferences/journals is highly desirable. Apply for this job * indicates a required field First Name * Last Name * Preferred First Name Email * Phone Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education Degree Select. LinkedIn Profile * Are you currently based in San Francisco and open to working in a hybrid model? * Select. Are you willing to undergo a background check in accordance with local laws and regulations? * Select. Can you describe a machine learning project you’ve led—what problem were you solving, what methods or frameworks did you use, and what impact did it have? * #J-18808-Ljbffr

Join to apply for the Machine Learning Engineer role at Onyx AI Join to apply for the Machine Learning Engineer role at Onyx AI Get AI-powered advice on this job and more exclusive features. This range is provided by Onyx AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $150,000.00/yr - $50,000.00/yr Your impact Onyx is a popular open source project with hundreds of thousands of users. The project has over 10K stars and over 3K community members across Slack and Discord (these stats may already be out of date when you read this). You’ll have the opportunity to build in the open and your work may be used by millions of people in the future. Your impact Onyx is a popular open source project with hundreds of thousands of users. The project has over 10K stars and over 3K community members across Slack and Discord (these stats may already be out of date when you read this). You’ll have the opportunity to build in the open and your work may be used by millions of people in the future. About The Role Onyx is the knowledge layer on top of LLMs. Help us improve our agent and knowledge retrieval capabilities to push the frontier on unsolved problems like multi-hop QA, needle in haystack, aggregation type RAG, etc. This is an in-person role based in San Francisco, CA. You’ll Be Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms Working on users’ experience with the platform through features like learn from feedback, search personalization, SME suggestion, etc. Build a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of Onyx Own the approach from inception to validation to production code Collaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy You’ll be successful if you… Have 3+ years of AI/ML engineering experience building real-world applications have in-depth experience with PyTorch/Tensorflow, NLP models, and standard ML algorithms Are up date with new advances such as open source/proprietary LLMs, RAG and agent-frameworks Strong software engineering background and capable of building backend features with web frameworks, ORMs and relational DBs Excellent communication skills and ability to collaborate with full stack roles Bonus points Familiar with the full stack Typescript/React/NextJS, Python, Postgres Interested in writing technical blogs to establish Onyx is leader in the space Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Technology, Information and Media Referrals increase your chances of interviewing at Onyx AI by 2x Get notified about new Machine Learning Engineer jobs in San Francisco, CA . San Francisco, CA $135,000.00- 200,000.00 3 months ago San Francisco, CA 170,000.00- 250,000.00 2 weeks ago San Francisco, CA 130,000.00- 230,000.00 5 months ago San Francisco, CA 140,000.00- 215,000.00 1 month ago San Francisco, CA 140,000.00- 180,000.00 4 months ago Research Engineer - Machine Learning (ML) San Francisco, CA 140,000.00- 160,000.00 4 months ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA 100,000.00- 180,000.00 1 year ago San Francisco, CA 130,000.00- 238,000.00 2 days ago San Francisco, CA 88,000.00- 140,000.00 1 month ago San Mateo, CA 140,000.00- 210,000.00 3 days ago San Francisco, CA 140,000.00- 160,000.00 3 months ago San Francisco, CA 140,000.00- 290,000.00 6 months ago San Francisco, CA 190,000.00- 355,000.00 3 weeks ago Machine Learning Engineers (Open-Endedness) - Open Level Machine Learning Engineer, AI/ML for Drug Discovery San Francisco, CA 175,000.00- 225,000.00 7 months ago San Francisco, CA 109,000.00- 192,400.00 3 days ago San Francisco, CA 165,000.00- 240,000.00 6 months ago San Francisco, CA 180,000.00- 270,000.00 2 months ago San Mateo, CA 195,000.00- 255,000.00 6 months ago San Francisco, CA 86.00- 95.00 29 minutes ago Machine Learning Engineer, Identity Product We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr