Machine Learning Engineer - Research and Development ROCGJP00027758 A leading biotechnology company is seeking an exceptional Machine Learning Engineer with a passion for building machine learning algorithms and systems that will transform the drug discovery process. The ideal candidate should have extensive experience in developing, deploying, and maintaining models in Research and Development and be able to foster a culture of innovation, collaboration, and excellence across the broader Computational Services organization. The candidate will have experience working in different computing environments, including traditional HPC and AWS, plus experience working with diverse data in the biomedical space, including genetics, genomics, imaging, and clinical data. Machine Learning Engineer Pay and Benefits: Hourly pay: $70-$90/hr (pay varies based on candidate's experience) Worksite: Leading biotechnology company (South San Francisco, CA 94080) W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL 40 hours/week, 6 Month Assignment Machine Learning Engineer Responsibilities: Develop and deploy machine learning models in production environments, working closely with other engineers to ensure solutions are scalable, reliable, and built with best practices. Solve core research engineering challenges including the design, implementation, and scaling of machine learning algorithms. Collaborate with cross-functional teams including research scientists, computational biologists, and data engineers to solve complex problems. Build solutions that allow stakeholders to interact with and analyze multimodal datasets. Machine Learning Engineer Qualifications: B.S. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field (Graduate degree preferred). 4+ years of experience developing and applying ML models in an industry setting, notably the biomedical space. Direct experience in Research and Development. Proficiency in Python. Experience with Weights and Biases. Proficiency in MLOps workflows (e.g., familiar with code version control, high-performance compute infrastructures, and machine learning experiment monitoring workflows). Extensive experience with machine learning frameworks and libraries (e.g., JAX, PyTorch, PyTorch Lightning, Tensorflow). Strong background in statistics, probabilistic modeling, and data analysis. Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences as well as interfacing with scientific and engineering leadership Experience collaborating with external scientific partners, such as academic institutions or industry research groups. A passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning.

⚡ Senior/Staff ML Research Engineers???? AI/ML Drug & Cell Discovery ($150M Series C)???? South San Francisco, USA (hybrid) ???? $200,000 - $240,000 salary + equity Come join a drug + cellular discovery team with unprecedented success in their 4 years of inception... having already patented 6+ new entities going through clinical stages. Opportunity to be to join and lead a fast-growing science AI/ML team. Seeking ML Engineers with experience in LLM and Transformer fine-tuning, and optimizing deployment & inference of deep learning models. Responsibilities:<ul><li>Design, develop and train novel LLM models for a multimodal approach to biodiscovery</li><li>Research and iterate models to ensure optimal-performance data transformation</li><li>Ownership of production platforms, tools and environment to scale automation of active learning, testing and release of models </li></ul> Requirements:<ul><li>BS or MS in Comp Sci/Engineering, Maths or related field</li><li>5+ years development & training of deep learning models (bonus if using bio/omics data) </li><li>Expertise in Pytorch model performance tuning and software development for ML </li><li>Proficiency in multi-node cloud-based HPC using distributed computational loads </li></ul> Why apply:<ul><li>Opportunity to join a fast-growing, close-knit team at the forefront of biological breakthroughs innovation</li><li>Competitive salary & package</li><li>Work alongside superstars from tech and science </li><li>Medical, Dental and Vision Insurance</li><li>Relocation package available</li></ul> ???? San Francisco Bay Area, USA???? Interested in applying? Please click on the ‘Easy Apply’ button or alternatively email me your resume at anir.gantugs@storm3.com ⚡ Storm3 is a HealthTech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and intel

Only local San Francisco Bay Area candidates!No 3rd party agencies! Direct W2 contractors only! Job Title: Machine Learning Engineer Location: San Francisco Bay Area (Hybrid: 3 days onsite, 2 days remote) Contract Type: Direct W2 Contractor (possible contract-to-hire) About Us: Join our innovative team at the client's Research & Early Development (gRED), where we're embarking on an exciting journey to enhance our computational capabilities through the formation of the gRED Computational Sciences (gCS) organization. Our mission is to revolutionize the discovery and development of targets and therapeutics, ultimately delivering novel treatments to patients worldwide.The Computational Catalysts group within gCS is a diverse, action-oriented team dedicated to advancing technical excellence. We partner with the informatics and scientific communities to create a comprehensive computational ecosystem that accelerates scientific discovery and decision-making. The Opportunity: We are seeking a talented Machine Learning Engineer with a passion for developing algorithms and systems that can transform drug discovery. The ideal candidate will have a proven track record of delivering innovative machine learning solutions and fostering a culture of collaboration and excellence. Key Responsibilities:<ul><li>Develop and deploy machine learning models in production, ensuring they are scalable and reliable.</li><li>Address core research engineering challenges through the design and implementation of machine learning algorithms.</li><li>Collaborate with cross-functional teams, including research scientists, computational biologists, and data engineers, to tackle complex problems.</li><li>Create solutions that enable stakeholders to interact with and analyze diverse datasets.</li></ul><li></li>Who You Are:<ul><li>Education: B.S. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field (Graduate degree preferred).</li><li>Experience: 7+ years in developing and applying machine learning models in an industry setting.</li><li>Technical Skills:</li><li>Proficient in Python.</li><li>Familiar with Weights and Biases.</li><li>Experienced in MLOps workflows, including version control and high-performance compute infrastructures.</li><li>Skilled in ML frameworks (e.g., JAX, PyTorch, TensorFlow).</li><li>Strong background in statistics, probabilistic modeling, and data analysis.</li></ul> <ul><li>Soft Skills:</li><li>Excellent communication skills, able to convey technical concepts to diverse audiences.</li><li>Experience collaborating with external scientific partners, including academic institutions or industry research groups.</li><li>A passion for solving complex technical challenges and a commitment to continuous learning.</li></ul>If you're ready to make an impact in the field of drug discovery and work in a dynamic, multidisciplinary environment, we want to hear from you!

<h3>Job Description</h3><div>Job Description<div>Machine Learning Engineer - Research and Development ROCGJP00027758A leading biotechnology company is seeking an exceptional Machine Learning Engineer with a passion for building machine learning algorithms and systems that will transform the drug discovery process. The ideal candidate should have extensive experience in developing, deploying, and maintaining models in Research and Development and be able to foster a culture of innovation, collaboration, and excellence across the broader Computational Services organization. The candidate will have experience working in different computing environments, including traditional HPC and AWS, plus experience working with diverse data in the biomedical space, including genetics, genomics, imaging, and clinical data.Machine Learning Engineer Pay and Benefits:<ul><li>Hourly pay: $70-$90/hr (pay varies based on candidate's experience)</li><li>Worksite: Leading biotechnology company (South San Francisco, CA 94080)</li><li>W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL</li><li>40 hours/week, 6 Month Assignment</li></ul>Machine Learning Engineer Responsibilities:<ul><li>Develop and deploy machine learning models in production environments, working closely with other engineers to ensure solutions are scalable, reliable, and built with best practices.</li><li>Solve core research engineering challenges including the design, implementation, and scaling of machine learning algorithms.</li><li>Collaborate with cross-functional teams including research scientists, computational biologists, and data engineers to solve complex problems.</li><li>Build solutions that allow stakeholders to interact with and analyze multimodal datasets.</li></ul>Machine Learning Engineer Qualifications:<ul><li>B.S. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field (Graduate degree preferred).</li><li>4+ years of experience developing and applying ML models in an industry setting, notably the biomedical space.</li><li>Direct experience in Research and Development.</li><li>Proficiency in Python.</li><li>Experience with Weights and Biases.</li><li>Proficiency in MLOps workflows (e.g., familiar with code version control, high-performance compute infrastructures, and machine learning experiment monitoring workflows).</li><li>Extensive experience with machine learning frameworks and libraries (e.g., JAX, PyTorch, PyTorch Lightning, Tensorflow).</li><li>Strong background in statistics, probabilistic modeling, and data analysis.</li><li>Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences as well as interfacing with scientific and engineering leadership</li><li>Experience collaborating with external scientific partners, such as academic institutions or industry research groups.</li><li>A passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning.</li></ul></div></div>

Local San Francisco Bay Area candidates only! Hybrid contract - 3 days onsite and 2 days remote Direct W2 contractors only! No 3rd party agencies! Our client is looking for a Sr Data Scientist with experience in Machine Learning Engineering to join the Product Development Digital Strategy & Enablement team (PD-DSE). Clients focus on delivering technology that evolves the practice of medicine and helps patients live longer, better lives. We are a diverse team of open and friendly people, enthusiastic about technological novelties and optimal enterprise solutions. We share knowledge, experience & appreciate different points of view. As a Senior Data Scientist, you will work closely with multi-disciplinary teams to design, develop and deploy structured, high-quality data solutions in particular Large Language Model (LLM) applications. These solutions will be leveraged across the PD organization to help our teams fulfill our mission: to do now what patients need next.Key Accountabilities:Partner with fellow Data Scientists, ML engineers, MLOps / DevOps engineers and cross functional teams to solve complex problems and create unique solutions by using modern NLP technologies in particular LLMs.Build data pipelines and deployment pipelines for ML models.Development of ML models according to business and functional requirements.Able to help deploy various models and tune them for better performance.Document and communicate the design and implementation details.Contribute to the DSE AI team on technical decisions.Collaborate with clients, informatics departments to deploy scalable and easy-to-maintain solutions.Serves as a technical point of contact for enterprise wide technologies solutions. Leads complex troubleshooting efforts and root cause analysis. Qualifications:Experience with LLM applications development including tool using and reasoning, for instance RAG solution and code interpreter.Experience with LLM fine tuning a big plusExperience in building data pipelines and deployment pipelines for LLM applicationsRecent experience with ML/AI toolkits such as AWS Sagemager (other toolkits like Pytorch, Tensorflow, Keras, MXNet, H20, etc are nice to have).Experience with MLOps technologies (Sagemaker, Vertex AI, Kubeflow)Experience with cloud solutions (AWS / Azure / Google Cloud Platform), dockerProven scripting and automation skillsGood knowledge of: git, bash, linux, CI/CD tools (e.g. jenkins, gitlab CI), software lifecycle, RDB, visualization tools eg Tableau, Jira, confluenceProgramming languages: Python, RTest driven development, good coding practicesProblem-solving and decision-making skills.Good interpersonal skills.Customer & delivery focus.Ability to work effectively with team members and virtual teams from different locations and different cultural backgrounds.Experience with deployment of scalable apps a plusExperience with clinical study data a plusEducation / Years of Experience:Master in quantitative field (e.g. mathematics, statistics, computer science, EE, etc.), and/or Life Sciences degree with significant computational experience, or equivalent, with 5+ year working experience in Data Science. PhD a plus.2+ years of commercial Data Engineering / ML Engineering / MLOps / UI/UX engineering experience3+ years of commercial software engineering experience TOP THREE MUST-HAVE QUALIFICATIONS:- Recent LLM application development experience, in particular RAG applications.- Strong general software development skills- Good collaborator in a diverse team.-Targeting level II ( 3-5 Years experience) senior level Data Scientist / ML engineer.

Machine Learning Engineer Jobs in South San Francisco, CA

Machine Learning Engineer Research And Development
November 12, 2024

Principal Machine Learning Engineer Infrastructure Llm
November 12, 2024

Lead Machine Learning Engineer
November 7, 2024

Machine Learning Engineer
November 6, 2024

Machine Learning Engineer Research And Development
October 27, 2024

Machine Learning Engineer
October 24, 2024

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Machine Learning Engineer Jobs in South San Francisco, CA

Machine Learning Engineer Research And DevelopmentNovember 12, 2024

Principal Machine Learning Engineer Infrastructure LlmNovember 12, 2024

Lead Machine Learning EngineerNovember 7, 2024

Machine Learning EngineerNovember 6, 2024

Machine Learning Engineer Research And DevelopmentOctober 27, 2024

Machine Learning EngineerOctober 24, 2024