ai research engineer, fair chemistry

cleaning technician Jobs in San Francisco

cleaning technician

clinical research coordinator Jobs in San Francisco

clinical research coordinator

clinical research coordinator - emergency medicine Jobs in San Francisco

clinical research coordinator pediatrics Jobs in San Francisco

clinical research coordinator pediatrics

technical researcher

MERCOR

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Software Engineer 
Type: Freelance 
Compensation: $50&ndash;$150/hour 
Duration: 1&ndash;2 months 
Commitment: 15&ndash;25 hours/week, with flexibility up to 40 hours/week
Role Responsibilities<ul><li>
Review and refine AI-generated prompts, responses, and code.</li><li>
Validate algorithms and software concepts for technical accuracy.</li><li>
Provide structured feedback on solution quality and clarity.</li><li>
Tag and organize content by topic, difficulty, or language.</li><li>
Support benchmarking efforts to assess model capabilities.</li><li>
Work independently and asynchronously to meet deadlines while improving AI model performance.</li></ul>
Qualifications
Must-Have<ul><li>
2+ years of experience in software engineering, technical research, or educational content development.</li><li>
Bachelor's degree in Software Engineering, Computer Science, or a related field.</li><li>
Strong proficiency in languages like Python, JavaScript, Java, or C++.</li><li>
Experience with debugging, testing, and validating code.</li><li>
Comfortable with technical writing and attention to detail.</li></ul>
Start Date<ul><li>
Immediate</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role</li><li>
Follow-up communication within a few days with next steps and onboarding details</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

Software Engineer – AI Specialist

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Software Engineer 
Type: Freelance 
Compensation: $70&ndash;$120/hour 
Duration: 1&ndash;2 months 
Commitment: 15&ndash;25 hours/week, with flexibility up to 40 hours/week
Role Responsibilities<ul><li>
Craft realistic developer prompts across multiple categories such as code review, debugging, and error diagnosis.</li><li>
Source and adapt content from real PRs to create authentic scenarios.</li><li>
Write clear, technically accurate model responses that demonstrate strong reasoning and explanation quality.</li><li>
Collaborate with AI research teams to improve training data quality and downstream performance.</li><li>
Work independently and asynchronously to meet deadlines while improving AI model performance.</li></ul>
Qualifications
Must-Have<ul><li>
2+ years of experience in software engineering, technical research, or educational content development.</li><li>
Bachelor's degree in Software Engineering, Computer Science, or a related field.</li><li>
Strong proficiency in languages like Python, JavaScript, Java, or C++.</li><li>
Experience with debugging, testing, and validating code.</li><li>
Comfortable with technical writing and attention to detail.</li></ul>
Start Date<ul><li>
Immediate</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role</li><li>
Follow-up communication within a few days with next steps and onboarding details</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

Software Developer

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Software Engineer 
Type: Freelance 
Compensation: $50&ndash;$150/hour 
Duration: 1&ndash;2 months 
Commitment: 15&ndash;25 hours/week
Role Responsibilities<ul><li>
Review and refine AI-generated prompts, responses, and code to enhance system performance.</li><li>
Validate algorithms and software concepts for technical accuracy and reliability.</li><li>
Provide structured feedback on solution quality and clarity to improve AI systems.</li><li>
Tag and organize content by topic, difficulty, or language to support data management.</li><li>
Support benchmarking efforts to assess model capabilities and performance metrics.</li></ul>
Qualifications
Must-Have<ul><li>
2+ years of experience in software engineering, technical research, or educational content development.</li><li>
Bachelor&rsquo;s degree in Software Engineering, Computer Science, or a related field.</li><li>
Strong proficiency in languages like Python, JavaScript, Java, or C++.</li><li>
Experience with debugging, testing, and validating code.</li><li>
Comfortable with technical writing and attention to detail.</li></ul>
Start Date<ul><li>
Immediate</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role</li><li>
Follow-up communication within a few days with next steps and onboarding details</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

Principal Software Developer

Software Engineering Specialist – Remote

Software Engineer I - Junior

Sutter Health

We are so glad you are interested in joining Sutter Health!
 
Organization: 
SHSO-Sutter Health System Office-Bay
 
Position Overview: 
****Please Note: While this position is listed as hybrid, regular in-office attendance is required. Candidates should be prepared to commute to the San Francisco office on a consistent basis to support team collaboration and business needs.****
 
Responsible for leading the design, build, and maintain Sutter Health’s artificial intelligence (AI) and machine learning (ML) infrastructure, including end to end pipelines for ML and large language models (LLM) that support analytics, data science, and enterprise AI use cases. This includes how AI models and associated data are ingested, processed, trained, deployed, monitored, governed, and secured across cloud and on premises environments. Ensures that AI systems meet high standards of performance, reliability, and compliance, enabling the organization to safely and effectively integrate AI capabilities into clinical, operational, and strategic workflows.
 
Utilizing modern artificial intelligence operations (AIOps) and machine learning operations (MLOps) practices, leads the operationalization of models, maintenance of scalable AI services, monitoring of system behavior, and automation of deployment workflows. Works with structured and unstructured data, clinical data models, healthcare data standards, and modern cloud platforms. Develops and validates ML models, integrates researcher built or vendor provided algorithms, and contributes to AI platform architecture and tooling. Sets standards for high quality, secure, and well governed AI systems that support advanced analytics, automation, and intelligent applications.
 
Job Description: 
****Please Note: While this position is listed as hybrid, regular in-office attendance is required. Candidates should be prepared to commute to the San Francisco office on a consistent basis to support team collaboration and business needs.****
 
EDUCATION: 
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or related field; or equivalent combination of education and experience.</li>
</ul>
TYPICAL EXPERIENCE: 
<ul>
<li>5 years recent relevant experience</li>
</ul>
PREFERRED EXPERIENCE: 
<ul>
<li>Advanced experience with Azure cloud services, including containerized model hosting, Azure ML, secure environment management, and cloud‑native deployment patterns.</li>
<li>Strong proficiency in MLOps / LLMOps practices, including CI/CD pipelines, automated testing, observability, model versioning, canary/AB rollouts, and drift monitoring.</li>
<li>Hands‑on expertise in building and operating AI/ML/LLM pipelines (ingestion → preprocessing → training → inference → monitoring), using Python, modern container frameworks, and orchestration systems.</li>
<li>Experience integrating researcher‑built or vendor‑provided ML/LLM models into production workflows, including API‑based embedding, performance tuning, and secure data handling.</li>
<li>Familiarity with healthcare data standards and environments, such as clinical data models, unstructured clinical text, and privacy/security expectations in regulated domains.</li>
</ul>
SKILLS AND KNOWLEDGE: 
<ul>
<li>Relevant experience in AI/ML Engineering and LLM/MLOps</li>
<li>Experience building end to end AI/ML pipelines, including training, deployment, monitoring, and retraining loops.</li>
<li>Strong programming skills in Python and familiarity with modern ML/LLM frameworks and libraries.</li>
<li>Hands on experience with Azure, including services such as Fabric, Foundry, Container Apps, AKS, and Application Insights.</li>
<li>Experience implementing AIOps / MLOps / LLM Ops practices, including CI/CD pipelines, automated testing, observability, and versioned deployments.</li>
<li>Experience with GitOps principles using GitHub Actions or similar tools.</li>
<li>Understanding of healthcare data models, including Epic Clarity, FHIR, HL7, and Caboodle.</li>
<li>Ability to evaluate and integrate machine learning models into production systems and support model lifecycle management.</li>
<li>Strong debugging skills across distributed systems, containerized environments, and cloud platforms.</li>
<li>Ability to work in cross functional environments with clinicians, data scientists, architects, and engineering teams.</li>
<li>Ability to produce high quality documentation and communicate complex technical concepts to diverse stakeholders.</li>
<li>Detail oriented, organized, and effective at prioritizing multiple concurrent initiatives.</li>
<li>Familiarity with HIPAA, PHI/PII security requirements, and regulatory considerations for healthcare AI.</li>
</ul>
These Principal Accountabilities, Requirements and Qualifications are not exhaustive but are merely the most descriptive of the current job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, staff changes, workload, or technical development).
 
Job Shift: 
Days
 
Schedule: 
Full Time
 
Days of the Week: 
Monday - Friday
 
Weekend Requirements: 
As Needed
 
Benefits: 
Yes
 
Unions: 
No
 
Position Status: 
Exempt
 
Weekly Hours: 
40
 
Employee Status: 
Regular
 Sutter Health is an equal opportunity employerEOE/M/F/Disability/Veterans.
 
Pay Range is $168,958.40 to $270,337.60 / annual salary
 The compensation range may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate’s experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health’s comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.

AI Engineer

Stealth AI Startup

<div>
 
 About the Role
 
 
 We are seeking an exceptional Lead Researcher to lead and scale a world-class AI research organization focused on advancing the state of the art in machine learning, large language models, and applied AI systems. This role is both
 
 strategic and hands-on
 
 , responsible for defining long-term research vision while actively contributing to breakthrough innovations that directly impact product and business outcomes.
 
 
 As Head of Research, you will build, mentor, and manage a high-caliber team of researchers and research engineers, partner closely with executive leadership, and translate cutting-edge research into scalable, real-world systems.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Define and own the
 
 research vision and roadmap
 
 , aligned with company strategy and long-term goals
 </li>
 <li>
 Lead and grow a team of
 
 AI Researchers, Applied Scientists, and Research Engineers
 
 </li>
 <li>
 Drive innovation across areas such as:
 </li>
 <li>
 Large Language Models (LLMs)
 </li>
 <li>
 Reasoning and planning systems
 </li>
 <li>
 Representation learning
 </li>
 <li>
 Robustness, safety, and evaluation
 </li>
 <li>
 Multimodal and agent-based systems
 </li>
 <li>
 Balance
 
 long-horizon exploratory research
 
 with
 
 near-term applied research
 
 that powers products
 </li>
 <li>
 Ensure research excellence through strong scientific rigor, reproducibility, and evaluation standards
 </li>
 <li>
 Collaborate with Product, Engineering, and Leadership to transition research into production
 </li>
 <li>
 Represent the company externally through publications, conferences, and industry engagement
 </li>
 <li>
 Establish best practices for research processes, tooling, and infrastructure
 </li>
 <li>
 Mentor senior researchers and develop future research leaders
 </li>
 </ul>
 
 Required Qualifications
 
 <ul>
 <li>
 PhD in Computer Science, Machine Learning, AI, or a closely related field (or equivalent research experience)
 </li>
 <li>
 0-7 years of experience in AI/ML research, with at least several years in a
 
 research role
 
 </li>
 <li>
 Proven track record of
 
 high-impact research contributions
 
 (top-tier conferences, journals, or widely adopted systems)
 </li>
 <li>
 Deep expertise in modern ML techniques, especially
 
 LLMs, deep learning, and foundation models
 
 </li>
 <li>
 Experience leading and scaling research teams in industry or advanced research labs
 </li>
 <li>
 Strong understanding of the tradeoffs between research innovation and production constraints
 </li>
 <li>
 Ability to communicate complex technical ideas clearly to both technical and non-technical stakeholders
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience leading research at a top AI lab, FAANG company, or well-known AI startup
 </li>
 <li>
 Publications at leading venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
 </li>
 <li>
 Experience with model training at scale, including distributed systems and ML infrastructure
 </li>
 <li>
 Background in deploying research models into real-world products
 </li>
 <li>
 Prior experience influencing company-level technical strategy
 </li>
 </ul>
 
 What We Offer
 
 <ul>
 <li>
 
 Base salary up to $500,000
 
 , plus competitive equity
 </li>
 <li>
 Opportunity to shape the future direction of cutting-edge AI research
 </li>
 <li>
 Access to significant compute and research resources
 </li>
 <li>
 Collaboration with elite engineers, researchers, and product leaders
 </li>
 <li>
 A culture that values deep thinking, experimentation, and long-term impact
 </li>
 </ul>
 
 
</div>

AI Scientist - LLMs [32814]

Explore 338+ Technical researcher in San Francisco this March. Find roles across top companies and apply now to boost your career.