software engineer

software engineer i Jobs in San Francisco

software engineer i

clinical trial research scientist Jobs in San Francisco

clinical trial research scientist

researcher engineer/scientist, training Jobs in San Francisco

researcher engineer/scientist, training

staff engineer

researcher engineer scientist training

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture, datasets and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. Recent examples of artifacts with major contributions from our team include GPT4-Turbo, GPT-4o and o1-mini.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a member of the architecture team, you will push the frontier of architecture development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities.
 <br/>
 <br/>
 Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck.
 <br/>
 <br/>
 This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, prototype and scale up new architectures to improve model intelligence
  </li>
  <li>
   Execute and analyze experiments autonomously and collaboratively
  </li>
  <li>
   Study, debug, and optimize both model performance and computational performance
  </li>
  <li>
   Contribute to training and inference infrastructure
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Thrive In This Role If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have experience landing contributions to major LLM training runs
  </li>
  <li>
   Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion
  </li>
  <li>
   Are motivated by safely deploying LLMs in the real world
  </li>
  <li>
   Are well-versed in the state of the art transformer modifications for efficiency
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 <br/>
 <br/>
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 <br/>
 <br/>
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 <br/>
 <br/>
 Compensation Range: $360K - $440K
</div>


Researcher Engineer/Scientist, Training

Waymo

<div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you&rsquo;re a software engineer or researcher who&rsquo;s curious and passionate about Level 4 autonomous driving, we'd like to meet you.</p>
<p>
The Sensor Foundations Team&rsquo;s purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. For this role, we are looking for a strong Software Engineer with robotics and machine learning experience, who will help us to accelerate the transition of low-level Perception tasks from algorithms to machine learning.</p>
<p>
This role follows a hybrid work schedule and reports to the Technical Lead Manager of the Sensor Foundations Team.</p>
<p><b>
You will:</b></p>
<ul>
<li>Transition low-level Perception tasks from algorithms to machine learning</li>
<li>Work on system integration and optimization</li>
<li>Evaluate task-level and system-level quality, developing new metrics as needed</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>Bachelors in Computer Science, Software Engineering, Robotics, or similar technical field of study</li>
<li>5+ years of industry experience</li>
<li>Strong C/C++ skills</li>
<li>Proficiency with Python</li>
<li>Experience with Computer Vision and Machine Learning</li>
<li>Experience with System Integration</li>
</ul>
<p><b>We prefer:</b></p>
<ul>
<li>Masters or PhD Degree in Computer Science, Robotics, Machine Learning, or a similar discipline</li>
<li>Experience with sensor data processing (Lidar, camera, or radar)</li>
<li>Experience in the AV industry</li>
</ul><div><div>
<div><p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$204,000&mdash;$259,000 USD</div></div></div></div>

Senior Software Engineer, Robotics

Alignerr

<div>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 The
 <strong>
  Clinical Trial Research Scientist
 </strong>
 evaluates clinical study protocols, trial designs, endpoints, statistical plans, and study results. This role emphasizes methodological rigor, documentation clarity, and accurate interpretation of safety and efficacy outcomes.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review clinical trial protocols and identify methodological strengths or gaps
  </li>
  <li>
   Analyze endpoints, inclusion/exclusion criteria, and study controls
  </li>
  <li>
   Interpret trial results and summarize safety and efficacy findings
  </li>
  <li>
   Validate statistical analysis plans for completeness and accuracy
  </li>
  <li>
   Identify operational or scientific risks in trial execution
  </li>
  <li>
   Support recurring evaluations of clinical documentation and study outputs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must-Have
  <br/>
  <br/>
 </strong>
 <strong>
  What You Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in clinical research, biostatistics, or pharmaceutical science
  </li>
  <li>
   Strong understanding of trial methodology and regulatory standards
  </li>
  <li>
   Ability to interpret trial data and communicate findings clearly
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Phase I&ndash;IV trials or specific therapeutic areas
  </li>
 </ul>
</div>


Clinical Trial Research Scientist

<div>
 Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
 <br/>
 <br/>
 The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
 <br/>
 <br/>
 In this hybrid role, you will report to a Senior Research Scientist.
 <br/>
 <br/>
 <strong>
  You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Participate in Waymo&rsquo;s foundation model post-training and evaluation
  </li>
  <li>
   Develop cutting edge RL and Distillation techniques for Autonomous Vehicle Trajectory Planning
  </li>
  <li>
   Integrate emerging research from the broader AI community into Waymo&rsquo;s internal infrastructure, conducting rigorous ablations to identify and scale the most promising methods
  </li>
  <li>
   Collaborate with other teams to share techniques developed in the AI Foundations teams to other teams at Waymo
  </li>
  <li>
   Integrate Waymo&rsquo;s multimodal models into simulators of different levels of fidelity
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor degree in Computer Science, similar technical field of study, or equivalent practical experience
  </li>
  <li>
   Proficiency in writing and debugging python/numpy-style code
  </li>
  <li>
   A willingness to work with complexity of globally distributed inference infrastructure
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We Prefer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with large scale (many-machine) training infrastructure and techniques for inference with large models such as model sharding/tensor-parallel
  </li>
  <li>
   Reinforcement Learning infrastructure experience
  </li>
  <li>
   Large scale distributed inference experience
   <br/>
   <br/>
  </li>
 </ul>
 The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
 <br/>
 <br/>
 Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
 <br/>
 <br/>
 Salary Range
 <br/>
 <br/>
 $204,000&mdash;$259,000 USD
</div>


Software Engineer, Machine Learning

UCSF Health

<p></p><div><div><div><div><p>Perform test procedures in Molecular Diagnostics. Responsible for pre-analytical, analytical, and post-analytical processes associated with specimen processing, test performance and reporting test results.<br>
Perform isolation of DNA and RNA from human blood and bone marrow specimens using manual and automated techniques to set-up molecular assays and perform analysis of data. Experience with PCR, qPCR, capillary electrophoresis, and other molecular platforms is preferred.<br>
Transcribe and report test results. Operate laboratory instrumentation &amp; equipment to accurately generate test results.<br>
Initiate troubleshooting of errant laboratory instrumentation &amp; equipment as needed. Follow established quality control procedures and participate in all associated tasks in the section.<br>
<br>
The final salary and offer components are subject to additional approvals based on UC policy.</p><p>
Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.</p><p>
The salary range for this position is $68.81 - $85.71 (Hourly Rate).</p><p>
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html</p></div>
</div><div><p><b>Required Qualifications</b></p>
<div><ul><li>California Clinical Laboratory Scientist license or Clinical Genetics Molecular Biologist license</li><li>
Bachelor of Science degree</li><li>
The flexibility to orient and work at all UCSF Medical Center locations is required</li></ul></div>
</div><div><p><b>Preferred Qualifications</b></p>
<div><ul><li>Recent clinical experience in molecular diagnostics laboratory</li><li>
Previous experience in high-volume clinical laboratory testing
</li><li>Experience with current automation used in the Molecular Diagnostics section</li></ul></div>
</div><div><p><b>License/Certification</b></p>
<div><ul><li>California Clinical Laboratory Scientist license or Clinical Genetics Molecular Biologist license</li></ul></div>
</div><div><p><b>About UCSF</b></p>
<div>At UCSF Health, our mission of innovative patient care, advanced technology and pioneering research is redefining what&rsquo;s possible for the patients we serve &ndash; a promise we share with the professionals who make up our team.
<br>
<br>
Consistently ranked among the top 10 hospitals nationwide by U.S. News &amp; World Report &ndash; UCSF Health is committed to providing the most rewarding work experience while delivering the best care available anywhere. In an environment that allows for continuous learning and opportunities for professional growth, UCSF Health offers the ideal atmosphere in which to best use your skills and talents.</div>
</div><div><p><b>Pride Values</b></p>
<div>UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence &ndash; also known as our PRIDE values.
<br>
<br>
In addition to our PRIDE values, UCSF is committed to equity &ndash; both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu
<br>
<br>
Join us to find a rewarding career contributing to improving healthcare worldwide.</div>
</div><div><p><b>Equal Employment Opportunity</b></p>
<div>The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.</div>
</div><div><p><b>Organization</b></p>
<div>Health</div>
</div><div><p><b>Job Code and Payroll Title</b></p>
<div>008940 CLIN LAB SCI
</div></div><div><p><b>Job Category</b></p>
<div>Allied Health, Clinical Labs</div>
</div><div><p><b>Bargaining Unit</b></p>
<div>University Professional and Technical Employees - Health Care Professionals Unit (UPTE-HX)
</div></div><div><p><b>Employee Class</b></p>
<div>Career</div>
</div><div><p><b>Percentage</b></p>
<div>100%</div>
</div><div><p><b>Location</b></p>
<div>San Francisco, CA
</div></div><div><p><b>Campus</b></p>
<div>China Basin (SF)
</div></div><div><p><b>Work Style</b></p>
<div>Fully On-Site</div>
</div><div><p><b>Shift</b></p>
<div>Days</div>
</div><div><p><b>Shift Length</b></p>
<div>8 Hours
</div></div><div><p><b>Additional Shift Details</b></p>
<div>Monday-Friday</div></div></div></div><div></div>

Clinical Lab Scientist

Oscar Health

<div><p>Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team.</p>
<p>
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.</p>
<p><b>
About the role:</b></p>
<p>
The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain.</p>
<p>
You will report into the Director of Data.</p>
<p><b>
Work Location: </b>This is a remote position, open to candidates who reside in: San Francisco, CA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote</p>
<p><b>
Pay Transparency: </b>The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li><p>Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors.</p>
</li>
<li><p>Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain.</p>
</li>
<li><p>Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models.</p>
</li>
<li><p>Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems.</p>
</li>
<li><p>Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment.</p>
</li>
<li><p>Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems.</p>
</li>
<li><p>Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units.</p>
</li>
<li><p>Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows.</p>
</li>
</ul><p><b>Requirements:</b></p>
<ul>
<li><p>4+ years of industry or other quantitative technical fields (which may include academia).</p>
</li>
<li><p>3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data</p>
</li>
<li><p>3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing</p>
</li>
</ul><p><b>Bonus points:</b></p>
<ul>
<li><p>Advanced degree in a quantitative or technical field</p>
</li>
<li><p>Experience in the healthcare, finance and/or insurance industries</p>
</li>
</ul><div><p>This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.</p>
<p>
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.</p>
<p><b>
Pay Transparency: </b>Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.</p>
<p><b>
Artificial Intelligence (AI): </b>Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.</p>
<p><b>
Reasonable Accommodation: </b>Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.</p>
<p><b>
California Residents:</b> For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</p></div></div>

Senior Data Scientist, Advanced Risk Modeling

Realign

<div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Lead Data Integration Engineer &ndash; Medicaid &amp; MDM</b><br>
<b>Location: San Francisco, CA - Onsite</b><br>
<b>Duration: 6 months</b><br>
IT experience in Requirements Analysis, Design, Development, Implementation and testing of Data Warehousing and Data Integration Solutions.</div><div></div><div><b><br>
Expertise:</b></div><ul><li>Cloud Technologies: Aws, Palantir</li><li>Databases: Oracle 12c/11g, MS SQL 2000, Teradata v11, 12.</li><li>ETL tools: Informatica Power Center 10.x/9.x/8.x.</li><li>Reporting tools: Business Objects, Qlikview, Qliksense and Tableau.</li><li>Programming languages: Unix Shell Scripting, Python, Pyspark, SQL Plus, PL/SQL, C++, Java,</li><li>Excellent written and oral communication skills.</li><li>Sun certified Programmer for the Java 2 Platform 1.4</li></ul><p>
Exp should be in Data Migration ,MDM, Medicaid claim processing</p><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Lead Data Integration Engineer / Medicaid & MDM-4

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