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senior research scientist

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.</li>
<li>5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 3 years of experience with a PhD degree.</li>
<li>4 years of experience in data analysis or related fields as a statistician or data scientist.</li>
<li>Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL).</li>
<li>Experience with statistical methodologies.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>PhD degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.</li>
<li>8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.<br>
</li>
<li>Experience in training, validating or optimizing language models or LLM-based classifiers.</li>
<li>Experience analyzing multi-modal data (image, audio, or video).</li>
<li>Experience of GenAI safety and red-teaming.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
User Protection is an organization dedicated to protecting Google's users from abuse, account compromise and other harms online. Our team works with the Content Safety (CS) and User Protection Platform and Services (UPS) which develops tools to protect users from abusive content at scale, often leveraging AI technology to do so. Our team provides data science capabilities to these two organizations, and works directly with product and engineering to evaluate, understand, and improve the quality of our protections. Organizationally, we are a part of a large data science team in Core, which provides ample opportunities for knowledge sharing, development, and learning from other data scientists working in adjacent domains.<br>
<br>
CS and UPS equip Google products with tools to protect users from abuse and harm. As a Data Scientist working with CS and UPS, you'll be helping to evaluate, understand, and improve our abuse protections - which are generally built with and for AI tools. We work closely with cross-functional product teams on specific content safety classifiers, but also on generic strategies and tooling for understanding content safety classifiers.<br>
<br>
Our team is designing safety data evaluations and safety mitigation evaluations, including LLM-as-judge, prompt injection, and Responsible AI testing. We also work with flagship GenAI product teams on understanding Google-wide GenAI safety postures in production traffic.The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div></div><div><br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Solve ambiguous problems in the Generative Artificial Intelligence safety space, including agent-based safety.<br>
</li>
<li>Develop quantitative methodologies to curate training data and evaluation data from synthetic data and real-world production data for improving content safety mitigations. Design and evaluate models to mathematically express and solve defined problems with limited precedent.</li>
<li>Drive cross-functional alignment on measuring violation rates and unjustified refusals across multiple flagship Generative Artificial Intelligence product surfaces. Identify and clarify business or product questions.</li>
<li>Provide feedback and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Drive clarity and coherence in understanding safety at scale across Google.</li>
<li><div>Own the process of gathering, extracting, and compiling data across sources (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.</div></li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Research Data Scientist, Core Safety Data Science

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are seeking a Senior Applied Scientist to build production machine learning systems that solve complex business problems at scale. You will design, develop, and deploy ML solutions that directly impact millions of users and drive strategic decision-making across the organization.<br>
<br>
In this role, you will work on challenging problems spanning predictive modeling, natural language processing, recommendation systems, and generative AI applications. You will collaborate with cross-functional teams to translate ambiguous business challenges into rigorous technical solutions.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and deploy large-scale machine learning systems in production environments</li><li>Develop innovative ML solutions using state-of-the-art techniques including deep learning, NLP, and generative AI</li><li>Create ML solutions that standardize and optimize manager-employee interactions, providing intelligent suggestions and establishing metrics to measure engagement quality across diverse conversation types</li><li>Partner to build causal inference models and experimental frameworks to measure impact</li><li>Collaborate with product managers, engineers, and business leaders to define technical roadmaps</li><li>Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership</li></ul><br>
About the team<br>
The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 5+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li><li>Proven track record of leading end-to-end development from Ideation to monitoring in production</li><li>Proven track record of mentoring and growing junior and mid-level scientists</li><li>Experience with building LLMs, generative AI applications on AWS</li><li>Excellent communication skills with ability to influence senior leadership</li><li>Demonstrated ability to work in ambiguous problem spaces with evolving requirements</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 192,200.00 - 260,000.00 USD annually<br>
USA, MA, Boston - 167,100.00 - 226,100.00 USD annually<br>
USA, VA, Arlington - 167,100.00 - 226,100.00 USD annually<br>
USA, WA, Bellevue - 167,100.00 - 226,100.00 USD annually<br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Senior Applied Scientist, PXT Central Science

Cribl

<div><div><p>Join the company that's building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world's biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what's next.</p>
<p>
We're one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we're remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.</p></div><p><b>
Why You'll Love This Role</b></p>
<p>
Cribl is hiring a Senior Data Scientist to join and grow our internal data science practice. In this role, you'll use predictive models and advanced analytics to give stakeholders clear foresight into what's likely to happen and what to do next. This role is embedded in our centralized data organization, reporting to our Staff Data Scientist, partnering closely with teams like Finance, GTM, and People. You'll turn rich data sets into forward-looking insights that guide planning, business strategy, and execution, and you'll contribute to the technical standards and culture that make our &quot;Foresight First&quot; vision a reality.</p>
<p>
We pride ourselves on fostering a collaborative and innovative culture where team members enjoy working together - whether remotely or over a meal at a foodie hot spot. If you're someone who thrives in an entrepreneurial environment and is eager to contribute to a company poised for legendary success in the tech industry, we want to hear from you!</p><p><br>
<b>
As An Active Member Of Our Team, You Will&hellip;</b></p>
<ul>
<li>Own end-to-end data science initiatives that translate ambiguous business questions into clear analytical and modeling problems, from scoping through implementation.</li>
<li>Build, operationalize, and continuously improve machine learning models in partnership with Data Engineering to ensure scalable training &amp; evaluation workflows in production.</li>
<li>Evaluate and interpret the performance of ML models (e.g., classification, recommendation), helping the team reason through trade-offs, limitations, and business implications of model-driven decisions.</li>
<li>Conduct deep-dive analyses using advanced statistical methods to surface actionable insights to stakeholders and positively influence org-wide decision quality.</li>
<li>Apply statistical modeling, experimentation, and AI-assisted analytics to expand how Cribl uses data to answer challenging questions.</li>
<li>Communicate findings clearly and persuasively to executives and cross-functional stakeholders to influence strategic decision-making.</li>
<li>Contribute to technical best practices and team standards, and provide mentorship to junior team members as the practice grows.</li>
<li>Partner closely with Data Engineering, Analytics, and Governance to define data requirements, improve data quality, and ensure the team can efficiently generate trustworthy insights.</li>
<li>We are a remote-first company and work happens across many time-zones &ndash; you may be required to occasionally perform duties outside your standard working hours.</li></ul><br>
<p><br>
<b>If You've Got It - We Want It</b></p>
<ul>
<li>5+ years of experience in data science or applied statistics with a track record of driving data science projects with meaningful business impact at a software company.</li>
<li>Strong background in experiment design, causal inference, predictive modeling, and ability to distinguish signal vs noise.</li>
<li>Advanced SQL and Python skills, with experience working on large, messy, multi-source datasets within a modern data stack such as cloud data warehouses and transformation frameworks.</li>
<li>Proven ownership of end-to-end data science and ML solutions, from problem framing and data preparation through modeling, validation, deployment to production in partnership with Data Engineering, and ongoing monitoring.</li>
<li>Ability to work effectively in ambiguous, fast-changing environments, navigating from problem framing through implementation and iteration.</li>
<li>Excellent communication, including the ability to present complex findings to non-technical audiences and contribute to strategic decisions</li>
<li>Familiarity with AI-assisted workflows, including leveraging LLMs as tools to accelerate analysis, surface insights, or augment modeling work.</li></ul><br>
<p><br>
<b>Salary Range</b> ($120,000 - $175,000)</p>
<p>
The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate's job-related knowledge, skills, and experience. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.<br>
<br>
#LI-JB1<br>
#LI-Remote</p><div><p><b>
Bring Your Whole Self</b><br>
<br>
Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We're building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.</p>
<p>
Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you'll ever meet at cribl.io/about-us.</p></div></div>

Senior Data Scientist

Datavant

<div><div><p>Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.<br>
<br>
By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.</p></div><p><b>
What We're Looking For</b></p>
<p>
We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data.</p>
<p>
You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale.</p>
<p>
This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to:</p>
<ul>
<li>Design and develop models to extract entities, detect intents, and understand document structure</li>
<li>Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs</li>
<li>Evaluate model performance where ground truth is partial, uncertain, or evolving</li>
<li>Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions</li>
</ul>
<p>We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out.</p>
<p><b>
What You Will Do</b></p>
<ul>
<li>Play a key role in the success of our products by developing models for document understanding tasks.</li>
<li>Perform error analysis, data cleaning, and other related tasks to improve models.</li>
<li>Collaborate with your team by making recommendations for the development roadmap of a capability.</li>
<li>Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.</li>
<li>Understand product use-cases and define key performance metrics for models according to business requirements.</li>
<li>Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).</li>
</ul>
<p><b>What You Need to Succeed</b></p>
<ul>
<li>6+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models.</li>
<li>Expertise with Python</li>
<li>Experience with the latest developments in language models (transformers, LLMs, etc.)</li>
<li>Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.</li>
<li>Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow</li>
<li>Industry experience shepherding ML/AI projects from ideation to delivery</li>
<li>Demonstrated ability to influence company KPIs with AI</li>
<li>Demonstrated ability to navigate ambiguity</li>
</ul>
<p><b>What Helps You Stand Out</b></p>
<ul>
<li>Experience with document layout analysis (using vision or multi-modal approaches).</li>
<li>Experience with Spark/PySpark</li>
<li>Experience with Databricks</li>
<li>Experience in the healthcare industry</li>
</ul>
<p><b>After 3 Months, You Will&hellip;</b></p>
<ul>
<li>Have a strong grasp of technologies upon which our platform is built.</li>
<li>Be fully integrated into ongoing model development efforts with your team.</li>
</ul>
<p><b>After 1 Year, You Will&hellip;</b></p>
<ul>
<li>Be independent in reading literature and doing research to develop models for new and existing products.</li>
<li>Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed.</li>
<li>Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations.</li>
</ul>
<p>#LI-BC1</p><div><p>
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
<br>
<br>
This job is not eligible for employment sponsorship.<br>
<br>
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.<br>
<br>
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.<br>
<br>
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis.</p><br>
<div>
<div><div><div><p>For more information about how we collect and use your data, please review our Privacy Policy.</p></div></div></div></div></div></div><p></p>

Senior Data Scientist, NLP

Genentech

<div><div><div>THE POSITION</div><p>
We advance science so that we all have more time with the people we love.</p><p></p><p>
The Department of Cell and Tissue Genomics (CTG) is focused on developing and applying state of the art genomics technologies (e.g. single cell omics, high-content imaging, perturbations, etc) to solve key challenges in disease biology, target discovery, and translational medicine. We are seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data, with a particular focus on high-content imaging, to decipher complex cellular circuits. The candidate will collaborate closely with members of the department to extract biological insights from diverse high dimensional data sets and support the development of new technologies, leveraging existing computational workflows and developing novel ones.</p><p></p><p><b>
The Opportunity:</b></p><p></p><p><b>
As an integral member of our dynamic team, you will be:</b></p><p></p><ul><li><p>
Analyzing high-content imaging data from novel technologies including optical pooled screens, spatial transcriptomics, and high-content perturbation screens, with the goal of extracting mechanistic insights into gene function and cellular phenotypes.</p></li><li><p>
Developing methods to analyze and interpret new types of perturbation data.</p></li><li><p>
Applying statistics and machine learning to investigate data and extract biological insights.</p></li><li><p>
Collaborating across diverse, cross-functional teams including experimentalists in CTG and the therapeutic areas and colleagues in the Computational Sciences Center of Excellence and the AI Biology &amp; Translation departments</p></li></ul><p></p><p><b>
Who You Are:</b></p><p></p><ul><li><p>
PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field. Alternatively, a PhD in molecular biology, immunology, bioengineering, etc. combined with a very strong record of data analysis, supported by publication in this area. Postdoctoral training is a plus.</p></li><li><p>
Strong publication record of biological discovery and/or methods development.</p></li><li><p>
Deep expertise in image analysis, including image processing, feature extraction, and morphological profiling. Familiarity with modern deep learning approaches (e.g., embeddings, foundation models) is a plus.</p></li><li><p>
Comfortable with the statistical principles behind current best practices in high-throughput data analysis.</p></li><li><p>
Fluent in Python and/or R.</p></li><li><p>
Excellent communication and presentation skills.</p></li><li><p>
Able to work successfully in cross-functional teams to collaboratively solve complex problems.</p></li><li><p>
Passionate about applying your analytical skills to understand health and disease.</p></li></ul><p></p><p><b>
Preferred Experience:</b></p><p></p><ul><li><p>
Experience with in situ data (FISH or ISS barcode calling).</p></li><li><p>
Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).</p></li><li><p>
Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.</p></li><li><p>
Experience with applying machine learning to high throughput datasets is a plus.</p></li></ul><p></p><p>
Relocation benefits are available for this posting.</p><p></p><p>
The expected salary range for this position based on the primary location of California for Senior Scientist is $124,300- $230,900 and Principal Scientist is $143,200-$265,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.</p><p></p><p>
Benefits</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Research Informatics
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Apr 10th 2026
</p></div><div><b>Job ID</b><b>
</b><p>202604-108731</p></div></ul></div></div></div></div><p></p>

Computational Scientist 3 - Cell & Tissue Genomics

Uber

<div><b>About the Role</b>
<br>
<br>
The Road Safety team seeks to make rare events even rare and make Uber safer for all users. Using telematics and other information, we work closely with our partners to understand, predict and mitigate road safety issues.<br>
<br>
<b>What the Candidate Will Need / Bonus Points</b>
- What the Candidate Will Do -<br>
<br>
You will own the <b>driver</b> pillar of our road safety risk eco-system. You will design and develop models to understand and predict risk and design experiments to test the effectiveness of evaluations. This is a highly cross-functional role, working with Product, Ops, and partner teams in marketplace to deliver a safer experience for everyone who uses Uber.<br>
- Basic Qualifications -<br>
<ul><li>
5+ years of professional experience (or equivalent)
</li><li>Strong ML skills with both GLMs as well as modern methods like xgboost and deep learning.</li><li>
Experience working with large scale data.</li><li>
Experience designing and executing large scale experiments. Familiar with methods for experimentation beyond traditional A/B Testing.</li></ul><br>
- Preferred Qualifications -<br>
<ul><li>
Experience with working with sensor data like IMU for event detection and activity recognition.</li><li>
Experience in risk modeling</li><li>
Understanding of actuarial methodologies.</li></ul><br>
For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Sr. Applied Scientist, Road Safety

THRAD

<div><h3 class="jobSectionHeader"><b>The Role</b></h3><p>
We are looking for an Applied Scientist to own the models that decide which ad appears in which AI conversation, in real time, across millions of queries a day. Ad selection inside LLM chats is a genuinely new problem: no click history, no cookies, no page context. Just an evolving conversation and a few hundred milliseconds to make a decision that has to feel native to the user, relevant to the advertiser, and profitable for the publisher.</p><p>
This is a research role with a production mandate. Your models go live, not into a paper. You will work directly with our CTO and the founding engineering team on the systems powering millions of ads a day across Fortune 500 campaigns.</p><h3 class="jobSectionHeader"><b>
Core Tech Stack</b></h3><ul><li><p><b>
ML:</b> PyTorch, embedding-based retrieval, modern transformer architectures</p></li><li><p><b>
Backend:</b> Python (FastAPI), async serving, real-time inference</p></li><li><p><b>
Data:</b> PostgreSQL for transactional, ClickHouse for analytics and event data</p></li><li><p><b>
Infra:</b> AWS, Docker, CI/CD</p></li><li><p><b>
Plus:</b> whatever the problem demands. We pick tools that ship.</p></li></ul><h3 class="jobSectionHeader"><b>
Example Projects</b></h3><ul><li><p>
Design and train contextual ad relevance models for LLM conversations, from retrieval through ranking through creative selection.</p></li><li><p>
Build efficient algorithms for real-time bidding and auction mechanics, balancing publisher yield and advertiser ROAS.</p></li><li><p>
Productionize regression models to predict downstream conversion from early conversational signals.</p></li><li><p>
Apply privacy-preserving clustering methods to categorize conversational context and improve advertiser targeting without compromising user data.</p></li><li><p>
Run live experiments against real traffic on our publisher network. Iterate on CTR, ROAS, and conversation quality metrics.</p></li><li><p>
Own the evaluation framework for ad quality, relevance, and user experience across the marketplace.</p></li><li><p>
Read an ArXiv paper on Monday. Have a prototype running on Friday.</p></li></ul><h3 class="jobSectionHeader"><b>
What You Will Do</b></h3><ul><li><p>
Own the research and shipping of the models powering ad selection across Thrad's network.</p></li><li><p>
Move research to production end to end: hypothesis, training, evaluation, deployment, monitoring.</p></li><li><p>
Collaborate directly with the CTO and co-founders to translate research direction into working systems, often within the same day.</p></li><li><p>
Partner with the Data and Product teams to design and analyze live experiments on real traffic.</p></li><li><p>
Contribute to system architecture decisions as we scale from millions to billions of daily ad impressions.</p></li><li><p>
Communicate findings clearly to both technical and non-technical audiences across the team.</p></li></ul><h3 class="jobSectionHeader"><b>
Who You Are</b></h3><p><b>
Must-haves</b></p><ul><li><p>
2 to 5 years of applied ML experience, ideally in ads, search, recommendations, ranking, or NLP.</p></li><li><p>
An advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field &mdash; or equivalent experience shipping production ML.</p></li><li><p>
Strong fundamentals in mathematical and statistical modeling. You know why your model works, not just that it does.</p></li><li><p>
Fluent in PyTorch, modern transformer architectures, and embedding-based retrieval.</p></li><li><p>
Strong Python, comfort with distributed training and inference.</p></li><li><p>
You have shipped ML to production at scale. Not just notebooks.</p></li><li><p>
You enjoy identifying and owning hard, open-ended problems. You form testable hypotheses and run them to ground.</p></li><li><p>
Based in San Francisco or willing to relocate. This is an in-person role at our SF HQ.</p></li></ul><p><b>
Nice-to-haves</b></p><ul><li><p>
Experience with RLHF, preference modeling, or LLM fine-tuning.</p></li><li><p>
Background in auction theory, bidding systems, real-time pricing, or yield optimization.</p></li><li><p>
Prior work at an ad-tech, search, recommendations, or marketplace company.</p></li><li><p>
Published research at NeurIPS, ICML, ACL, KDD, RecSys, or equivalent.</p></li><li><p>
Familiarity with ClickHouse or other column-oriented OLAP databases for analytical workloads.</p></li><li><p>
A relentless interest in the AI and LLM ecosystem and how advertising will evolve inside conversational interfaces.</p></li></ul><h3 class="jobSectionHeader"><b>
Why Thrad</b></h3><ul><li><p><b>
First mover:</b> We are defining a new category. Paid ads in AI is an inevitable market and we are building the infrastructure for it.</p></li><li><p><b>
Real traction:</b> Fortune 500 clients, millions of daily impressions, and publisher partners across the AI web, all pre-seed.</p></li><li><p><b>
Research with teeth:</b> Your work ships. Your models run in production against real traffic with real revenue on the line.</p></li><li><p><b>
Direct impact:</b> Small founding team. Your decisions shape the models, the product, and the company.</p></li><li><p><b>
Ownership:</b> Meaningful equity in a company at the intersection of two massive markets: AI and ad tech.</p></li><li><p><b>
Craft:</b> A team that cares about shipping quality, not just quantity.</p></li></ul><h3 class="jobSectionHeader"><b>
How to Apply</b></h3><p>
Send your CV and a brief note on what excites you about building at the intersection of AI and advertising. If you have published work, a GitHub, or models you have shipped that you are proud of, include them. We read every application.</p></div>

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