The Position A healthier future. Its what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. Thats what makes us Genentech.The Opportunity We are seeking a highly skilled and motivated Senior Machine Learning Scientist to join the BRAID team (Biology Research | AI Development) within our Computational Sciences organization. The successful candidate will focus on developing novel machine-learning methods to transform drug development and clinical trial design, including multimodal generative models, representation learning, and reinforcement learning. The candidate is expected to routinely publish work in top-tier Machine Learning and scientific venues. This role requires a deep understanding of machine learning concepts, a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology.We are looking for exceptional researchers with a demonstrated research background in machine learning, a passion for interdisciplinary research and technical problem-solving, and a proven ability to develop and implement ideas from research.Key ResponsibilitiesDesign and implement novel machine learning algorithms tailored to the complexities of clinical trial data (e.g., foundation models for longitudinal data, geometric deep learning models for biological data, foundation models for image, text, and omics data).Collaborate with cross-functional teams including biologists, clinicians, data scientists, and other stakeholders to integrate machine learning solutions into clinical decision-making.Analyze complex biological and clinical data to derive insights and guide decision-making in drug development and trial design.Keep abreast of the latest developments in machine learning and their applications in healthcare and clinical trials.Publish findings in relevant journals and conferences.Who you are Educational Background: Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field.Experience: Proven track record with 1+ years of experience developing and applying advanced ML models in a research or industry setting.Technical Skills:Proficiency in scientific programming languages such as Python as well as 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, Tensorflow).Strong background in statistics, probabilistic modeling, and data analysis.Soft Skills: Excellent communication, collaboration, and problem-solving skills.Publications: Strong publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, CVPR, ICCV, etc.PreferredYou have an extensive track record of delivering innovative solutions in machine learning, strong communication skills, and the ability to effectively communicate technical concepts to both technical and non-technical audiences and interface with scientific leadership.You have practical experience in one or more of the following areas: reinforcement learning, graph neural networks, representation learning, and generative learning.You have a passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning.Relocation benefits are available for this job posting.The expected salary range for this position based on the primary location of South San Francisco, CA is $165,200 to $306,800. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.BenefitsGenentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.#J-18808-Ljbffr

Job DescriptionAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters mosttheir patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense.The Role From transcribing medical conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. We're currently looking to hire research scientists with experience in machine learning and natural processing. The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role. At Abridge, all of our ML work has a strong research component, and all of our research scientists contribute directly to real products that impact the lives of doctors.What You'll Do Advance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation.Actively contribute to the wider research community by sharing and publishing original research.Help to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production.Dial deeply into real-time feedback from clinicians to guide further refinements and innovations.Be results-oriented in the face of ambiguous problems and uncertain outcomes.What You'll Bring Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience.High-impact publications at peer-reviewed AI conferences (e.g. CL, NeurIPS, ICML, ICLR).Significant real-world impact, as demonstrated through open source contributions and deployed technology.Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data.Base Salary: $200,000 USD - $300,000+ USD per year + EquityThe salary range provided is based on transparent pay guidelines and is an estimate for candidates residing in the San Francisco and New York City metro areas. The actual base salary will vary depending on the candidate's location, relevant experience, skills, qualifications, and other job-related factors. Additionally, this role may include the opportunity to participate in a company stock option plan as part of the total compensation package.Work Environment Must be willing to work from our SF office at least 3x per weekThis position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco within 6 months of accepting an offer.Must be willing to travel up to 10%Abridge typically hosts a 3-day builder team retreat every 3-6 months. These retreats often feature internal hackathons, collaborative project sessions, and social events that provide the team with opportunities to connect.Why Work at Abridge? Be a part of a trailblazing, mission-driven organization that is powering deeper understanding in healthcare through AI!Opportunity to work and grow with talented individuals and have ownership and impact at a high-growth startup.Flexible/Unlimited PTO Salaried team members can take off as much approved time off as they need, plus 13 paid holidays.Equity For all salaried team members.Medical insurance We pay 100% of the premium for you + 75% for dependents. 3 Aetna plans to choose from.Dental & Vision insurance We pay 100% of the premium for you + 75% for dependents. 2 Aetna plans to choose from.Flexible Spending (FSA) & Health Savings (HSA) AccountsLearning and Development budget $3,000 per year for coaching, courses, workshops, conferences, etc.401k Plan Contribute pre-tax dollars toward retirement savings.Paid Parental Leave 16 weeks paid parental leave, for all full-time employees.Flexible working hours We care more about what you accomplish than what specific hours youre working.Home Office Budget We provide up to $1,600 in a one-time reimbursement to set up your home office.Sabbatical Leave 30 days of paid Sabbatical Leave after 5 years of employment....Plus much more!Life at AbridgeAt Abridge, were driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the inverse way in a legacy systemfocusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.Abridgers are engineers, scientists, designers, and health policy experts from a diverse set of backgroundsan experiment in alchemy that helps us transform an industry dominated by EHRs and enterprise into a consumer-driven experience, one recording at a time. We believe in strong ideas, loosely held, and place a high premium on a growth mindset. We push each other to grow and expose each other to the latest in our respective fields.Equal Opportunity Employer Abridge is an equal opportunity employer and is at the core of what we do. We actively welcome applicants from all backgrounds.Staying Safe - Protect Yourself From Recruitment Fraud We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. Please exercise caution and cease communications if something feels suspicious about your interactions.Compensation Range: $200K - $300K#J-18808-Ljbffr

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters mosttheir patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense.The Role We're currently looking to hire research scientists with experience in machine learning and natural language processing. The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role. At Abridge, all of our ML work has a strong research component, and all of our research scientists contribute directly to real products that impact the lives of doctors.What You'll Do Advance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation.Actively contribute to the wider research community by sharing and publishing original research.Help to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production.Dial deeply into real-time feedback from clinicians to guide further refinements and innovations.Be results-oriented in the face of ambiguous problems and uncertain outcomes.What You'll Bring Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience.High-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR).Significant real-world impact, as demonstrated through open source contributions and deployed technology.Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data.Base Salary: $200,000 USD - $300,000+ USD per year + EquityThe salary range provided is based on transparent pay guidelines and is an estimate for candidates residing in the San Francisco and New York City metro areas. The actual base salary will vary depending on the candidate's location, relevant experience, skills, qualifications, and other job-related factors. Additionally, this role may include the opportunity to participate in a company stock option plan as part of the total compensation package.Must be willing to work from our SF office at least 3x per weekThis position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco within 6 months of accepting an offer.Must be willing to travel up to 10%Why Work at Abridge? Be a part of a trailblazing, mission-driven organization that is powering deeper understanding in healthcare through AI!Opportunity to work and grow with talented individuals and have ownership and impact at a high-growth startup.Flexible/Unlimited PTO Salaried team members can take off as much approved time off as they need, plus 13 paid holidays.Equity For all salaried team members.Medical insurance We pay 100% of the premium for you + 75% for dependents. 3 Aetna plans to choose from.Dental & Vision insurance We pay 100% of the premium for you + 75% for dependents. 2 Aetna plans to choose from.Flexible Spending (FSA) & Health Savings (HSA) AccountsLearning and Development budget $3,000 per year for coaching, courses, workshops, conferences, etc.401k Plan Contribute pre-tax dollars toward retirement savings.Paid Parental Leave 16 weeks paid parental leave, for all full-time employees.Flexible working hours We care more about what you accomplish than what specific hours youre working.Home Office Budget We provide up to $1,600 in a one-time reimbursement to set up your home office.Sabbatical Leave 30 days of paid Sabbatical Leave after 5 years of employment.Diversity & Inclusion Abridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).#J-18808-Ljbffr

Machine Learning Scientist Jobs in San Francisco, CA

Senior Machine Learning Scientist Gcs Braid
December 19, 2024

Machine Learning Scientist Nlp All Ranks
December 19, 2024

Machine Learning Scientist Nlp All Levels
December 19, 2024

Quick filters

Top companies

Machine Learning Scientist Jobs in San Francisco, CA

Senior Machine Learning Scientist Gcs BraidDecember 19, 2024

Machine Learning Scientist Nlp All RanksDecember 19, 2024

Machine Learning Scientist Nlp All LevelsDecember 19, 2024

Quick filters

Top companies

Senior Machine Learning Scientist Gcs Braid
December 19, 2024

Machine Learning Scientist Nlp All Ranks
December 19, 2024

Machine Learning Scientist Nlp All Levels
December 19, 2024