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2026 phd scientist intern (competitive intelligence)

2026 future talent program - discovery biologics - intern Jobs in San Francisco

2026 phd scientist intern (competitive intelligence) Jobs in San Francisco

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2026 phd scientist intern competitive intelligence

Uber

<div>We're looking for PhD candidates to work with the Competitive Intelligence Team as a Scientist intern during summer 2026 (12 weeks). As an intern, you will be embedded in a product team working on solving real-world Uber problems under the supervision of an analyst on that team, and will have the opportunity to partner closely with Scientists, Software Engineers, Product Managers, and other cross-functional partners.
 
 
About the Role
 
 
The Competitive Intelligence team works to understand the strategy and performance of Uber and other companies with similar products through a combination of external and internal data. Uber operates in a diverse array of markets and product categories filled with rapidly evolving competing options; assessing the success or failure of a product or strategy depends on understanding this context. Doing this, and doing it well, is an interesting and challenging problem. The team uses its data analysis, statistical modeling, economics, and business expertise to build scalable data products and ship actionable insights.
 
 
We are looking for candidates passionate about solving new and difficult problems with data. You will build out and own competitive metrics/models, provide key insights, conduct deep dive analysis to understand new opportunities and empower teams to make more informed business and strategy decisions with competitive intelligence.
 
 
What You'll Do
<ul><li>Work with a mentor closely to define a business problem, scope a project, develop, and prototype the solution using data-driven approaches
</li><li>Work with engineers and product managers to turn prototypes into scalable solutions
</li><li>Present findings to leaders to inform decisions
</li><li>Establish standard methodologies for science such as modeling, coding, analytics, optimization, and experimentation
</li></ul>Basic Qualifications
<ul><li>Pursuing a Ph.D. majoring in Statistics, Machine Learning, Economics, or other related quantitative fields
</li><li>Candidates should have at least one semester/quarter left of their education after finishing the internship
</li><li>Strong problem-solving and analytical abilities
</li></ul>Preferred Qualifications
<ul><li>Coding proficiency in areas such as R, Spark, SQL, Python
</li><li>Background in data visualization via open-source libraries/packages or third-party tools (i.e. Tableau, Mixpanel, Looker, or similar)
</li><li>Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, stochastic processes, economics, and analytics
</li><li>Experience in the following areas: Exploratory Data Analysis, Statistical Analysis, ML Model Development, Competitive Intelligence, Causal Inference, Operations Management, Transportation
</li><li>0-2 years of prior work experience in an analytical setting
</li><li>Organized, detail-oriented and able to work independently on multiple projects at once
</li><li>Ability to communicate effectively with both technical and business partners
</li><li>Open to feedback, excellent at implementing newly learned ideas and concepts
</li><li>Research mentality with a bias towards action to structure a project from idea to prototype to implementation
</li>Independence, self-starter mindset, excellent communication, and outstanding follow-through - you energetically tackle your work and love the responsibility of being individually empowered 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For all US locations, you will also be eligible for various benefits.</div>

2026 PhD Scientist Intern (Competitive Intelligence)

Research Scientist Intern, FAIR Chemistry

Braze

<div>
 At Braze, we have found our people. We&rsquo;re a genuinely approachable, exceptionally kind, and intensely passionate crew.
 
 
 We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity &ndash; inside and outside our organization.
 
 
 To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
 
 
 Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
 
 
 If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can&rsquo;t wait to meet you.
 
 
 
 What You'll Do
 
 
 
 As our customer base continues to grow with the excitement around BrazeAI, we&rsquo;re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:
 
 
 <ul>
 <li>
 Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
 </li>
 <li>
 Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
 </li>
 <li>
 Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
 </li>
 <li>
 Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
 </li>
 <li>
 Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Education: Bachelor&rsquo;s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master&rsquo;s or PhD in a relevant technical discipline preferred
 </li>
 <li>
 Experience: 3&ndash;5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
 </li>
 <li>
 Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
 </li>
 <li>
 Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
 </li>
 <li>
 Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
 </li>
 <li>
 Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
 </li>
 <li>
 Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
 </li>
 <li>
 Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
 </li>
 <li>
 Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences
 
 
 </li>
 </ul>
 For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $124,200 - $148,500/year with an expected On Target Earnings (OTE) between $138,000 - $165,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company.
 
 
 
 What We Offer
 
 
 
 Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here . More details on benefits plans will be provided if you receive an offer of employment.
 
 
 
 Benefits
 
 
 
 From offering comprehensive benefits to fostering hybrid ways of working, we&rsquo;ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
 
 
 <ul>
 <li>
 Competitive compensation that may include equity
 </li>
 <li>
 Retirement and Employee Stock Purchase Plans
 </li>
 <li>
 Flexible paid time off
 </li>
 <li>
 Comprehensive benefit plans covering medical, dental, vision, life, and disability
 </li>
 <li>
 Family services that include fertility benefits and equal paid parental leave
 </li>
 <li>
 Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
 </li>
 <li>
 A curated in-office employee experience, designed to foster community, team connections, and innovation
 </li>
 <li>
 Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
 </li>
 <li>
 Employee Resource Groups that provide supportive communities within Braze
 </li>
 <li>
 Collaborative, transparent, and fun culture recognized as a Great Place to Work&reg;
 
 
 </li>
 </ul>
 
 About Braze
 
 
 
 Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.&trade; Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI&trade; allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
 
 
 The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 &ldquo;Best of Marketing and Digital Advertising Software Product&rdquo; in 2025.
 
 
 Braze was also named a 2025 Best Companies To Work For by U.S. News &amp; World Report, a 2025 America&rsquo;s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology&trade; by Great Place To Work&reg;, among other accolades. Braze is also proudly certified as a Great Place to Work&reg; in the U.S., the UK, Australia, and Singapore.
 
 
 The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, S&atilde;o Paulo, Singapore, Seoul, Sydney and Tokyo.
 
 
 
 BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER
 
 
 
 At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
 
 
 Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience &ndash; regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you .
 
 
 We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we&rsquo;d love to meet you.
 
 
 Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.
</div>

Forward-Deployed Data Scientist

DEGENKOLB ENGINEERS

<div>Company Background: Founded in 1940 and headquartered in San Francisco, Degenkolb Engineers has more than eight decades of commitment to innovation, client service, and life-long learning. We deliver customized structural solutions in a variety of practice areas such as healthcare, education, science and technology, forensics, construction engineering, and federal buildings. We address every project need&mdash;whether meeting stringent codes, staying on budget, adhering to tight schedules, or creating landmark structural systems.

Position Description: Degenkolb is again offering a summer internship program for future engineers! The goal of this program is to give students an understanding of how a structural engineering practice operates to complement academic training and to create a recruitment pipeline. We are fortunate to hire many former interns full-time after they complete their studies. Internships are available in our California offices (Los Angeles, San Diego, and San Francisco). Applicants may indicate interest in multiple locations on a single application.

Ideal Candidate: A high-achieving current Senior or Graduate student (undergraduate GPA 3.40 or above) with a passion for structural engineering. Interest in seismic analysis is strongly preferred. If you're graduating from your master's program in spring 2026 your are not eligible for our internship program and should apply for our Designer role.

Compensation: The pay rate for this position, across the various offices, ranges between $32 - $38.50 per hour. This range is a good faith estimate pursuant to pay transparency laws. Actual pay rates will be based on various factors, including company geographic differentials, education level, and candidate qualifications.

Culture: We offer a flexible hybrid work schedule and a fun, collaborative office environment. Our firm is filled with experts united by a passion for industry involvement, pride in company ownership, and respect for personal lives. You&rsquo;ll benefit from professional development within a supportive, transparent team. Learn more: https://degenkolb.com/culture/

Scholarship Program: Interns hired into the program are eligible to apply for our competitive scholarships:
<ul>
<li>One scholarship for Cal Poly, San Luis Obispo students</li>
<li>One for students at other California State University (CSU) campuses</li>
<li>One for University of California students, with preference given to members of AISES, NSBE, SHPE, or WISE</li>
</ul>
Each award is a $4,000 grant, payable after registration for the Fall 2026 quarter/semester.

Scholarship Application Requirements (due March 1, 2026): Submit a scholarship statement (two pages max) that addresses:
<ul>
<li>Career goals in the structural engineering profession</li>
<li>Graduate school education goals</li>
<li>Academic and leadership accomplishments</li>
<li>Challenges overcome in your academic journey (e.g., first-generation student experience)</li>
</ul>
Contact: Michelle Chapman (mchapman@degenkolb.com) with questions.

We also participate in the NCSEA Diversity in Structural Engineering Scholarship Program
Job Description: In structural engineering, academic coursework is just the foundation&mdash;hands-on experience makes the difference. As an intern, you will work on active project teams, gaining exposure to clients, design challenges, and firm culture.

Minimum Requirements:
<ul>
<li>Must be a full-time Civil Engineering student currently in your Senior year who is planning to continue directly into a Structural Engineering graduate program, OR a current Graduate student in Structural Engineering.</li>
<li>Demonstrated passion for structural and seismic analysis (or steel design in Michigan).</li>
<li>Strong performance in upper division civil/structural engineering courses (Undergraduate GPA 3.40+).</li>
<li>Active participation in extracurricular and/or leadership roles.</li>
<li>Must be currently authorized to work in the United States for any employer.</li>
</ul>
Intern Application Process: Click the Apply Now button and complete the application.

Submit all of the following:
<div>
Resume<ul><li>-required</li></ul>
Unofficial transcripts (undergraduate and graduate, as applicable) <ul><li>- required for consideration</li></ul>
Cover letter describing why you want to work with Degenkolb and how your background aligns with this position<ul><li>-strongly encouraged</li></ul></div> 


Degenkolb Engineers complies with Equal Opportunity Employer guidelines, meaning we do not discriminate in employment matters on the basis of race, color, religion, gender, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. We are committed to fostering an inclusive workplace where a wide range of perspectives, skills, and experiences are welcomed and respected.</div>

Structural Engineer | Intern

Attentive.ai

<div>
 
 About Attentive.ai
 
 
 
 Attentive.ai is transforming the field services and construction industries with our flagship AI solution - Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights.
 
 
 More than
 
 1k+ businesses
 
 across the U.S. and Canada already use our products to boost sales velocity and streamline operations. We have raised
 
 $30.5M in Series B funding
 
 , accelerating our mission to make advanced AI tools accessible, practical, and impactful in the real world. We are proudly Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures.
 
 
 
 Position Description
 
 
 
 As an
 
 AI/ML Research Scientist,
 
 you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents.
 
 
 In this role, you will support the end-to-end lifecycle of AI-based solutions &mdash; from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy ML models for parsing and reasoning over construction blueprint PDFs - working with image, text and vector graphics modalities
 </li>
 <li>
 Design data pipelines for training, validation, and continuous improvement.
 </li>
 <li>
 Improve model accuracy, latency, and scalability for production workloads.
 </li>
 <li>
 Contribute to system architecture decisions for ML deployment and monitoring.
 </li>
 <li>
 Collaborate with cross-functional teams including software engineers, ML researchers, and product teams
 </li>
 <li>
 Write clean, scalable, and production-ready code
 
 
 </li>
 </ul>
 
 Skills &amp; Requirements
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in applied AI/ML and research, preferably with focus on computer vision.
 </li>
 <li>
 PhD or Master's degree in deep learning, coupled with research experience focused on image modalities.
 </li>
 <li>
 Experience working with document understanding, OCR pipelines, or structured extraction systems is a plus.
 </li>
 <li>
 Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning.
 </li>
 <li>
 Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers.
 </li>
 <li>
 Hands-on experience with model optimization techniques (e.g., quantization, pruning, knowledge distillation)
 </li>
 <li>
 Familiarity with LLM based systems and architectures
 </li>
 <li>
 Comfortable working in a fast-moving, ownership-driven environment.
 
 
 </li>
 </ul>
 
 Why Work With Us?
 
 
 
 <ul>
 <li>
 Be part of a visionary team building a first-of-its-kind AI solution for the construction industry.
 </li>
 <li>
 Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning.
 </li>
 <li>
 Culture that encourages ownership, innovation, and growth.
 </li>
 <li>
 Opportunities for fast learning, mentorship, and career progression.
 </li>
 </ul>
</div>

AI/ML Research Scientist

Jack & Jill

<div>
 This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
 
 
 She will pick the best candidates from Jack's network.
 
 
 The next step is to speak to Jack.
 
 
 Behavioral Research Scientist
 
 
 
 Salary:
 
 $140,000-$160,000 + Equity
 
 
 
 Company Description:
 
 VC-backed AI simulation platform
 
 
 
 Job Description:
 
 
 
 Shape the cognitive and behavioral foundations of AI agents for a cutting-edge simulation engine. This role involves applying scientific depth to model decision-making, attention, and heuristics, impacting how next-generation digital products are designed. Join a team at the intersection of AI, behavioral science, and product experimentation, bringing real-world impact to scalable systems.
 
 
 
 Location:
 
 San Francisco, USA
 
 
 
 Why this role is remarkable:
 
 
 
 <ul>
 <li>
 Join a team creating category-defining technology, building the simulation layer for adaptive software.
 </li>
 <li>
 Backed by top-tier VCs and product/engineering leaders from leading tech companies.
 </li>
 <li>
 Apply deep behavioral science and cutting-edge AI to solve complex product challenges with immediate impact.
 
 
 </li>
 </ul>
 
 What you will do:
 
 
 
 <ul>
 <li>
 Ground AI agents in validated behavioral and cognitive frameworks, modeling human decision-making.
 </li>
 <li>
 Translate behavioral theories into practical agent architectures, defining user clusters and personas.
 </li>
 <li>
 Design and analyze in silico experiments to test agent responses and benchmark simulation realism.
 
 
 </li>
 </ul>
 
 The ideal candidate:
 
 
 
 <ul>
 <li>
 PhD or postdoc in Cognitive Science, Behavioral Economics, Psychology, or HCI.
 </li>
 <li>
 Proven experience conducting original research on decision-making or behavioral modeling in digital contexts.
 </li>
 <li>
 Passionate about applying rigorous scientific research to real-world, impactful AI systems.
 
 
 </li>
 </ul>
 
 Who are Jack &amp; Jill?
 
 
 
 Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
 
 
 And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
 
 
 
 Next steps
 
 
 
 Step 1. Visit our website
 
 
 Step 2. Click 'Talk to Jack'.
 
 
 Step 3. Talk to Jack so he can understand your experience and ambitions.
 
 
 Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
 
 
 Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
 
 
 Step 6. If not, Jack will find you excellent alternatives. All for free.
 
 
 
 We never post fake jobs
 
 
 
 This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
 
 
 Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
 
 
 We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
 
 
 Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
 
 
</div>

Behavioral Research Scientist ($140,000-$160,000 + Equity) at VC-backed AI simulation platform

OpenAI

Careers
 
Data Scientist, Marketing Innovation
 
Data Science - San Francisco
 
About the Role
 
We’re hiring a Data Scientist to support our Marketing Innovation pod, a cross-functional team building the internal tools and agentic systems that fundamentally change how we do marketing and serve customers.
 
We build product-like systems that: 
Deliver high-touch, consultative experiences to millions of SMB customers through agentic lifecycle and sales experiences
 
Adapt messaging, creative, and outreach using real-time behavioral signals
 
Power intelligent routing, targeting, and engagement decisions at scale, with minimal human-in-the-loop
 
In this role, you’ll be embedded with Product and Engineering to ensure these systems drive measurable business outcomes.
 
What You’ll Do
 
Define success metrics for agentic marketing systems (e.g., incremental pipeline generated, conversion lift, rep hours saved), including leading indicators that enable weekly iteration.
 
Design measurement and experimentation frameworks for always-on systems across lifecycle automation, creative generation, targeting, and routing — using holdouts, staged rollouts, and quasi-experimental methods when needed.
 
Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.
 
Translate behavioral and model-driven signals into decisions: what to scale, where to intervene, and how to allocate human and compute attention across segments.
 
Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.
 
What We’re Looking For
 
10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company supporting B2B growth, with exposure to SMB or scaled self-serve motions.
 
Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.
 
Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.
 
Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).
 
Strong business judgment and a bias toward action: able to scope ambiguous problems, define success, and move quickly from insight to strategy.
 
Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.
 
Nice to Have
 
Familiarity with large language models and AI-assisted operations platforms
 
Experience working on operational automation and decision systems (routing, prioritization, optimization)
 
Experience operating in early-stage or rapidly evolving environments, including building measurement and experimentation frameworks from scratch.
 
About OpenAI
 
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.
 
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.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
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.
 
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.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
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.
 
Compensation
 
$293K – $325K + Offers Equity

Data Scientist, Marketing Innovation

Explore 140+ 2026 phd scientist intern competitive intelligence in San Francisco this March. Find roles across top companies and apply now to boost your career.