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adversarial ai offensive security engineer Jobs in San Francisco

ai engineer

Kickmaker

<div><div>Kickmaker is a high-tech product design and industrialization agency.</div>
<div></div>
<div>We support our customers from prototype to production run in our main vertical markets (medical, new mobility, electrification, agrotech, robotics, IOT and consumer devices) and our cross-disciplinary skills (embedded AI, high-tech manufacturing automation, eco-design, industrial design and WEB 3.0 for the economy of functionality).</div>
<div></div>
<div>We're evolving with a real maker culture! Passion, excitement and kindness are the pillars of KICKMAKER. This team and community spirit has enabled us to shape a unique corporate culture. Our approach: to enable everyone to fulfill their potential by working on exciting projects, and to encourage autonomy and initiative.</div>
<div></div>
<div>Present in France, China and the United States, our community counts over 250 passionate kickers and keeps growing. It is in this context that we are looking to strengthen our team in Boston, Seattle and San Fransisco.</div><div></div><div><p><br>
Within Kickmaker, the employee will assume the role of AI engineer, with the following main responsibilities:</p>
<p>
Supporting the qualification of Kickmaker clients&rsquo; requirements, as well as ensuring proper technical follow-up and management of projects for the assigned scope. As an integral part of the project team, he/she collaborates with other technical experts and contributes to the successful completion of the project within the defined timeline and budget.</p>
<p><b>
General responsibilities related to the role:</b></p>
<ul>
<li>Analyze sensors for data acquisition (RGB, depth, LiDAR, pressure, and others)</li>
<li>Design and implement data processing architectures</li>
<li>Perform business and technical analysis of data to understand underlying phenomena</li>
<li>Generate real and/or synthetic datasets (using Blender or other tools)</li>
<li>Implement classical algorithms</li>
<li>Apply Deep Learning approaches, including the use of pre-trained networks or training custom models</li>
<li>Test and analyze Deep Learning models</li>
<li>Review scientific publications and identify potential opportunities</li>
<li>Improve robustness and optimize Deep Learning models (e.g., deployment on microcontrollers)</li>
</ul>
<p>More generally, the employee shall also ensure the development and maintenance of the company&rsquo;s brand image with its clients and ensure compliance with applicable procedures, both in the performance of their own duties and with regard to the employees under their supervision.</p>
<p>
The employee must remain aware of the responsibilities associated with the performance of their duties and may not claim to have been unaware of them under any circumstances.</p>
<p>
In carrying out the responsibilities described above, and more broadly in the performance of all activities within the Company, the employee shall be placed under the direct supervision of the Executive Management of Kickmaker.</p>
<ul>
<li><b>Location</b>: San Francisco, California, USA</li>
<li><b>Base Salary: </b>$155 000 to $180 000/ year</li>
<li><b>Experience Required: </b>5 years in a relevant field</li>
</ul></div><div><div><b>Your adventure at Kickmaker</b></div>
<div></div>
<div>At Kickmaker you&rsquo;ll work on <b>5&ndash;10 projects annually</b>, choosing from a wide range of industries : from robotics, medical devices, fitness tech, and automotive, to micro-mobility, beauty tech, sports exoskeletons, and AI-driven hardware.
</div><div>Your path evolves with your curiosity: we help you grow where your professional ambitions and personal passions meet, always connected to the latest tech breakthroughs.</div>
<div></div>
<div>We offer a <b>benefits package</b> designed to support you and your family while keeping costs low. This includes health and dental coverage, paid time off and 5 sick days for rest and renewal. You can also join our 401(k) plan to invest in your future.</div>
<div></div>
<div><b>Our Culture &amp; Spirit</b></div>
<div>Kickmaker is built by innovators, for innovators. Across our 7 offices we give you the tools to make your ideas happen.</div><br>
<div></div>
<div></div><div>Our vision is simple: <b>build a space where innovators can explore, experiment, and push boundaries together</b>.</div>
<div>If you&rsquo;re curious about our spirit and way of working (and you&rsquo;ve got a minute) check out this short video where <b>Leonardo da Vinci &ldquo;visits&rdquo; Kickmaker.</b>An image is worth a thousand words, and this one will give you the full vibe</div>
<div></div>
<div><b>If you&rsquo;ve ever looked at a product and thought, &ldquo;I could build this better,&rdquo; let&rsquo;s talk!</b></div>
</div>
<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

AI Engineer

Ludo Robotics

<div>
 <strong>
  The Company
  <br/>
  <br/>
 </strong>
 LUDO ROBOTICS is dedicated to building general-purpose robotic intelligence systems that are robust, adaptive, and capable of handling real-world scenarios. We believe that data-driven machine learning at massive scale is the key to unlocking these capabilities and enabling the widespread deployment of robots across society.
 <br/>
 <br/>
 We are a new startup headquartered in Bay Area, California, with an office in Seoul, Korea. Our team spans a wide range of backgrounds and experience, from new graduates to seasoned domain experts. What matters most to us is ownership, speed, and intellectual curiosity - people who take responsibility, move fast, and enjoy thinking deeply about hard problems.
 <br/>
 <br/>
 We are supported by a highly advanced AI Center within KRAFTON, a leading global video game company best known for the genre-defining worldwide success PUBG: Battlegrounds. KRAFTON has extensive experience building and operating large-scale, data-rich products, and we have secured investment from them. This gives us strong long-term backing, deep technical partnership opportunities, and access to world-class infrastructure and talent networks as we push robotic intelligence forward.
 <br/>
 <br/>
 We are looking for passionate builders who want to explore uncharted territory, take on difficult problems, and ship ambitious, industry-shaping work. You will collaborate across diverse teams as we bring our technology from research into real-world deployment.
 <br/>
 <br/>
 <strong>
  THE OPPORTUNITY
  <br/>
  <br/>
 </strong>
 As an ML / AI Engineer at Ludo Robotics, you will develop scalable robotics systems that enable robots to operate reliably in the real-world environments. You will work with leading researchers and engineers on state-of-the-art methodologies to design and deploy algorithms and systems that enable robots to interact intelligently and adapt to diverse and complex environments. The ideal candidate has a strong technical background and experience in building practical solutions and driving real impact.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead and contribute to cutting-edge research and engineering problems at the frontier of robotic AI, including approaches and systems that have not been built before.
  </li>
  <li>
   Explore and develop new learning methods, architectures, and training strategies for robots facing unseen scenarios.
  </li>
  <li>
   Turn research ideas into deployed robot behavior, bridging theory and real-world performance.
  </li>
  <li>
   Collaborate with cross-functional teams spanning robotics software, hardware, data, and infrastructure.
  </li>
  <li>
   Influence technical direction and system design in a fast-moving startup environment.
  </li>
  <li>
   Access large-scale data, compute, and modern ML infrastructure to train and evaluate advanced models.
  </li>
  <li>
   Grow through ownership of open-ended problems where solutions are not predefined.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree in Computer Science, Electrical Engineering, or related field with focus on Deep Learning or Machine Learning
  </li>
  <li>
   Solid understanding of machine learning fundamentals and modern deep learning techniques, with hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  </li>
  <li>
   Strong programming skills, primarily in Python, with experience or willingness to work in C++-based robotics environments.
  </li>
  <li>
   Comfort working on open-ended, ambiguous problems where requirements and solutions evolve and curiosity and readiness to tackle new technical challenges that may not have established best practices.
  </li>
  <li>
   Experience working with real-world data, including noise, edge cases, and imperfect labels.
  </li>
  <li>
   Familiarity with robotics concepts such as perception, control, state estimation, or simulation a plus.
  </li>
  <li>
   Strong problem-solving skills and the ability to reason about complex systems.
  </li>
  <li>
   Ability to collaborate effectively in fast-paced, research-driven environments.
  </li>
  <li>
   Clear communication skills and a strong sense of ownership over outcomes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Reasonable Accommodation
  <br/>
  <br/>
 </strong>
 LUDO ROBOTICS is committed to the full inclusion of all qualified individuals. As part of this commitment, the Company will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to apply for an open position, perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the Operations Team, to begin the interactive process.
 <br/>
 <br/>
 <strong>
  EEOC Statement
  <br/>
  <br/>
 </strong>
 LUDO ROBOTICS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type.
 <br/>
 <br/>
 This position may be filled at multiple levels depending on experience, scope, and business need. In California, the expected salary range for this position is $98,000&ndash;$305,000. The listed expected salary ranges represent good faith estimates. Actual compensation may vary based on job-related factors including experience, education, skills, performance, and work location. This position is also eligible for equity compensation and a comprehensive benefits package.
 <br/>
 <br/>
 <strong>
  Don&rsquo;t meet every single requirement?
  <br/>
  <br/>
 </strong>
 Studies have shown that women and people of color are less likely to apply at jobs unless they meet every single qualification. At LUDO ROBOTICS we are dedicated to building a diverse, inclusive, and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyway. You might just be the right candidate for this or other roles.
 <br/>
 <br/>
 <strong>
  Due to recent scams, our recruiters will only reach out to you via @ludorobotics.ai, @sds.com, @krafton.com or @pubg.com. If you received an email and are unsure you can always email recruiting_KA@Krafton.com
 </strong>
</div>


ML/AI Engineer

Charles Schwab

<div><h2 class="jobSectionHeader"><b>Your opportunity</b></h2><div><br>
At Schwab, your career is more than a job&mdash;it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office.</div><div></div><div><br>
As part of Schwab&rsquo;s AI Strategy &amp; Transformation team (AI.x), you&rsquo;ll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences.</div><div></div><div><br>
We&rsquo;re seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You&rsquo;ll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab&rsquo;s strategic goals, and mentor junior team members&mdash;cultivating best engineering practices and a culture of continuous learning.</div><div></div><div><br>
In this pivotal role, you&rsquo;ll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You&rsquo;ll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications.</div><ul><li>
Design, build, and deliver GenAI applications that elevate client experience and generate business impact.</li><li>
Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines.</li><li>
Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards.</li><li>
Mentor and coach junior engineers, fostering strong practices and continuous learning.</li><li>
Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment.</li><li>
Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability.</li><li>
Advance engineering standards, focusing on operational excellence and quality across all deliverables.</li></ul><h2 class="jobSectionHeader"><b>
What you have</b></h2><div><b><br>
Required Qualifications</b></div><ul><li>
8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations.</li><li>
Bachelor&rsquo;s degree in Computer Science or related field.</li><li>
5+ years building complex products from scratch, running them in production, and ensuring operational reliability.</li><li>
3+ years building applications leveraging AI models for measurable business impact.</li><li>
3+ years developing applications and data pipelines interfacing with large datasets.</li><li>
3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Strong computer science fundamentals and experience across the tech stack.</li><li>
Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production.</li><li>
Commitment to quality&mdash;driving high standards and writing tests at all levels.</li><li>
Experience writing and running evaluations for quality and consistency in LLM-generated output.</li><li>
Strong written and verbal communication skills to clearly convey ideas and feedback.</li><li>
Mentoring junior engineers and supporting their technical growth through code reviews and guidance.</li><li>
Mindset of continuous learning and improvement.</li><li>
Ability to solve complex problems with ambiguous or incomplete data in distributed systems.</li><li>
Demonstrated business domain knowledge relevant to previous products.</li><li>
Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement.</li><li>
Experience with Python and front-end development preferred but not required.</li><li>
Master&rsquo;s or advanced degree in Computer Science or related field.</li></ul><div>
In addition to the salary range, this role is eligible for bonus or incentive opportunities.</div><div><h2 class="jobSectionHeader"><b><br>
What&rsquo;s in it for you</b></h2><p>
At Schwab, you&rsquo;re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration&mdash;so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.</p><p>
We offer a competitive benefits package that takes care of the whole you &ndash; both today and in the future:</p><ul><li>
401(k) with company match and Employee stock purchase plan</li><li>
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions</li><li>
Paid parental leave and family building benefits</li><li>
Tuition reimbursement</li><li>
Health, dental, and vision insurance</li></ul></div></div>

Sr. AI Engineer, AI.x

MERCOR

<div><p><b>About the job</b></p><p><b>
Mercor</b> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <b>Benchmark</b>, <b>General Catalyst</b>, <b>Peter Thiel</b>, <b>Adam D'Angelo</b>, <b>Larry Summers</b>, and <b>Jack Dorsey</b>.</p><p><b>
Position:</b> Software Engineer<br>
<b>Type:</b> <b>Full-time</b><br>
<b>Compensation:</b> <b>$80&ndash;$110/hour</b><br>
<b>Location:</b> <b>Remote</b>
</p><p><b>Role Responsibilities</b></p><ul><li>
Develop and enhance <b>AI-powered interviewing tools</b> and automation systems to optimize the hiring infrastructure.</li><li>
Implement frontend experiences using <b>React</b> and related frameworks to create intuitive user interfaces for recruiters, interviewers, and candidates.</li><li>
Build and maintain backend services supporting interview scheduling, <b>AI transcription/summarization</b>, and automation workflows.</li><li>
Collaborate with <b>AI/ML teams</b> to integrate <b>GPT-4o</b> and other <b>AI technologies</b> for interview feedback automation and quality improvements.</li><li>
Leverage <b>AI-powered development tools</b> including <b>Cursor</b>, <b>Claude Code</b>, and <b>Devmate</b> to accelerate development velocity.</li><li>
Support autonomous scheduling improvements and candidate-driven experiences that reduce manual coordinator interventions.</li></ul><p><b>
Qualifications</b></p><p><b>
Must-Have</b></p><ul><li><b>
Bachelor's degree</b> in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li><b>
4+ years</b> of software engineering experience with object-oriented programming languages such as <b>Java</b>, <b>C++</b>, or <b>C#</b>.</li><li>
Experience with scripting languages including <b>Python</b>, <b>PHP</b>, or <b>JavaScript</b>.</li><li>
Proficiency with frontend frameworks such as <b>React</b>, <b>Vue</b>, or similar modern <b>JavaScript frameworks</b>.</li><li>
Strong problem-solving skills and ability to work independently on complex technical challenges.</li></ul><p><b>
Preferred</b></p><ul><li>
Experience working with <b>AI-powered development tools</b> such as <b>Cursor</b>, <b>Claude Code</b>, <b>Devmate</b>, or similar <b>AI coding assistants</b>.</li><li>
Familiarity with <b>GraphQL</b> and modern API design patterns.</li><li>
Experience with <b>React ecosystem</b> including <b>Relay</b> for data fetching.</li><li>
Knowledge of <b>AI/ML technologies</b> and experience integrating language models (<b>GPT-4o</b>, <b>Claude</b>, etc.) into production applications.</li></ul><p><b>
Compensation &amp; Legal</b></p><ul><li><b>
Hourly contractor</b></li><li><b>
Paid weekly via Stripe Connect</b></li></ul><p><b>
Application Process (Takes 20&ndash;30 mins to complete)</b></p><ul><li>
Upload resume</li><li>
AI interview based on your resume</li><li>
Submit form</li></ul><p><b>
Resources &amp; Support</b></p><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><p><i>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</i></p></div>

AI Engineer – Remote Work

Airtable

<div><div><p>Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.</p></div><p>
Airtable's Data Science &amp; Analytics team seeks an Analytics Engineer to embed within our Marketing organization. This is a high-impact, early-career role. You will be responsible for building the canonical data infrastructure, owning critical dashboards, and enabling Marketing stakeholders to execute faster, more confident, data-driven decisions.</p>
<p>
We require a genuinely AI-native professional&mdash;not merely familiar with tools like Claude, Cursor, or ChatGPT, but one who integrates them as a core part of their daily workflow. The successful candidate will possess a full-stack mindset, a bias for action, and deep curiosity about how marketing data drives tangible business outcomes.</p>
<p><b>
About the Team</b></p>
<p>
The Data Science &amp; Analytics team at Airtable is the company-wide partner for building data infrastructure, metrics, and insights that directly inform decision-making. The Marketing Analytics Engineer will embed with the Marketing organization, working directly with GTM data and Airtable's core data stack: dbt, Databricks, Looker, and Omni.</p>
<h1 class="jobSectionHeader"><b>
What you'll do</b></h1>
<ul><li><b>Canonical Marketing Data Sources</b>
<ul><li><b>Design and maintain</b> trustworthy data models for core marketing metrics, managing the full lifecycle from prototyping through production.</li>
<li><b>Develop and govern</b> dbt data pipelines, establishing data integrity standards and SLAs for timely, accurate delivery across the Marketing organization.</li>
</ul></li><li><b>Critical Dashboards and Self-Serve Tooling</b>
<ul><li><b>Build and optimize</b> dashboards that deliver real-time, self-serve insights across high-priority marketing areas: campaign performance, funnel conversion, pipeline contribution, and lead scoring.</li>
<li><b>Drive data independence</b> for Marketing stakeholders, eliminating reliance on ad-hoc data requests and manual reporting.</li>
</ul></li><li><b>AI-Native Data Infrastructure</b>
<ul><li><b>Collaborate</b> with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.</li>
<li><b>Lead the development</b> of tools that facilitate natural language data access and AI-assisted reporting for non-technical stakeholders.</li>
</ul></li><li><b>Trusted Partnership</b>
<ul><li><b>Serve as the primary data partner</b> for marketing managers, demand generation teams, and leadership.</li>
<li><b>Translate complex data insights</b> into clear business recommendations via dashboards, memos, and presentations.</li>
</ul></li><li><b>Domain Expertise</b>
<ul><li><b>Achieve a comprehensive mastery</b> of Airtable's marketing data models, existing pipelines, and BI tools (dbt / Looker / Omni) within the first 6 months, becoming the definitive internal expert.</li>
</ul></li></ul><h1 class="jobSectionHeader"><b>Who you are</b></h1>
<ul><li><b>Must-Have</b>
<ul><li>Expert-level SQL: Proven ability to write complex queries involving joins, aggregations, and window functions.</li>
<li>Proficiency with dbt or equivalent data transformation tools.</li>
<li>Experience with BI and visualization platforms (Looker, Omni, Tableau, Hex, or similar).</li>
<li>Active, demonstrated daily use of AI coding tools (Cursor, Claude, ChatGPT, Gemini). Candidates must provide specific, concrete examples of how these tools are integral to their work, moving beyond simple familiarity.</li>
<li>Mandatory use of GitHub for version control in a standard development workflow.</li>
<li>Exceptional communication skills: the ability to translate technical data findings into compelling business narratives for non-technical leadership.</li>
</ul></li><li><b>Nice-to-Have</b>
<ul><li>Python for data work (pandas, ETL scripting, or analysis).</li>
<li>Prior exposure to marketing data concepts: attribution, funnel metrics, lead scoring, or campaign performance.</li>
<li>Familiarity with CRM (Salesforce) or marketing automation platforms (Marketo).</li>
<li>Experience with Databricks or cloud data warehouses.</li>
<li>A public portfolio showcasing data or AI-assisted engineering work (GitHub, personal projects, Kaggle).</li>
</ul></li><li><b>Full-stack Mindset:</b> You own problems end-to-end and drive the solution, even if it requires expanding the original scope.</li>
<li><b>Bias for Action:</b> You prioritize effective delivery over perfection, operating with a 'ship, learn, and iterate' mentality.</li>
<li><b>Genuinely AI-Native:</b> AI tools are fundamental to your work process. You leverage them to write cleaner SQL, debug models faster, generate documentation, and prototype solutions, and can articulate your specific usage.</li>
<li><b>Data Storyteller:</b> You provide definitive business closure&mdash;framing findings as actionable recommendations, not just delivering technically correct output.</li>
<li><b>Thrives in Ambiguity:</b> You proactively create clarity and forward momentum, even when requirements are incomplete or rapidly changing.</li>
</ul>
<p>Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant<b>.</b></p>
<p>
VEVRAA-Federal Contractor</p>
<p>
If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.</p><div><p>
Please see our Privacy Notice for details regarding Airtable's collection and use of personal data relating to the application and recruitment process by clicking here.<br>
<br>
For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process.</p>
<p>
 <b>Stay Safe from Job Scams</b><br>
All official Airtable communication will come from an <b>@airtable.com</b> email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.</p></div></div>

AI Analytics Engineer (Marketing Analytics)

AI Research Engineer, FAIR Chemistry

AI Software Engineer and Talent Acquisition Lead

Explore 232+ Ai engineer in San Francisco this March. Find roles across top companies and apply now to boost your career.