machine learning intern

Achira

<div><h1 class="jobSectionHeader"><b>Why Achira</b></h1><p>
At Achira, we are building a team of world-class scientists, ML researchers, and engineers to work together to move beyond the beaten path in drug discovery. We are actively exploring the next frontier of model architectures for AI x Chemistry: developing world models for the physical microcosm. Our goal is to make biology at the molecular level something that can be learned, predicted, and designed.</p><p>
At Achira, you&rsquo;ll operate at the frontier scale of massive compute, massive data, and massive ambition. You&rsquo;ll own impactful work end-to-end, from ideation to architecture to deployment on distributed infrastructure. We are a well-funded, talent-dense organization that values rigor, speed, execution, and an ownership mindset. We&rsquo;re looking for new members who share our sense of relentless urgency and are natural collaborators who value team success.</p><p></p><h1 class="jobSectionHeader"><b>
About the Role</b></h1><p>
We&rsquo;re looking for machine learning researchers who want to shape the frontier of generative models for the atomistic microcosm. You will work at the intersection of cutting-edge machine learning, statistical mechanics, and approximate bayesian inference to help us conquer sampling problems at light-speed. In addition, you&rsquo;ll collaborate with experts in chemistry and physics to invent and implement models to unlock what&rsquo;s possible for Achira&rsquo;s microscopic world models.</p><p>
While we prefer candidates willing to work from our San Francisco office, highly skilled candidates may be considered for working from New York City with travel to San Francisco as needed. Both locations are offered as hybrid roles, spending at least some of your time working from the office in collaboration with coworkers. Travel is part of all roles at Achira, both to conferences and corporate on-site activities.</p><p></p><h1 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h1><ul><li><p>
Invent advanced sampling and simulation methods that integrate probabilistic inference, deep learning, and reinforcement learning to enable efficient exploration and simulation of learned energy landscapes for molecular systems.</p></li><li><p>
Design and train frontier generative models: diffusion, autoregressive, flow-based, and latent-variable architectures.</p></li><li><p>
Build models that can map between data distributions to bridge the gap between simulation and reality.</p></li><li><p>
Prototype, benchmark, and iterate rapidly to transform research ideas into reusable and scalable components across Achira&rsquo;s ecosystem.</p></li><li><p>
Collaborate with physicists and chemists to ensure models are grounded in real physics.</p></li><li><p>
Work with research engineers and the infrastructure team to identify where research ideas will need support in order to deliver effective results.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
About You</b></h1><ul><li><p>
Interested in building generative models that describe real matter.</p></li><li><p>
Drive to build at the frontier of what&rsquo;s possible and try out new, high-risk ideas.</p></li><li><p>
Machine learning researcher with professional experience (post-degree) in an industry setting.</p></li><li><p>
Demonstrated research impact through conference talks or publications (in machine learning venues), open-source contributions, or released models.</p></li><li><p>
Strong interdisciplinary communication and presentation skills and the ability to translate ideas and concepts to colleagues from non-ML backgrounds.</p></li><li><p>
Proficiency in Python and modern ML frameworks (PyTorch, JAX).</p></li><li><p>
Experience collaborating on research projects across multi-person teams.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Nice to Have</b></h1><p>
Achira values excellent ML researchers from many backgrounds, and expect members of the team to contribute complementary strengths. If the work excites you, we encourage you to apply, even if you hit none of the bonus features listed below!</p><ul><li><p>
Experience working with models that operate on 3-D point clouds and dynamic data.</p></li><li><p>
Experience in sequential monte carlo methods.</p></li><li><p>
Experience with probabilistic programming.</p></li><li><p>
Experience with pre-training, mid-training, and post-training (especially reenforcement learning) parts of the model development process.</p></li><li><p>
Familiarity with statistical mechanics: working knowledge of sampling, estimators, and the Crooks/Jarzynski perspective of nonequilibrium statistical mechanics.</p></li><li><p>
Prior experience working in or with researchers in the domains of computational chemistry, biology, or materials science.</p></li><li><p>
Experience working with multi-cloud distributed compute systems.</p></li><li><p>
Experience working with multi-site distributed company team.</p></li></ul><p>
Compensation Range: $164,638 - $259,000</p></div>

ML Research Scientist (MLRS) - Generative AI

Quantcast

<div><div>At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP. Our AI doesn't just optimize&mdash;it delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need in a crowded marketplace. Ready to join the team that's defining the future of digital advertising?</div><div></div><div><br>
The Modeling team is responsible for Machine Learning (ML) systems at Quantcast. We build and maintain multiple ML products that price millions of bid requests per second in a real-time auction environment to maximize advertiser outcomes. For each bid our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics. Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in relevant content.</div>
<div></div>
<div>As a Machine Learning Engineer you care about the health and maintainability of our systems and the velocity of the engineering teams. You explore data, research new algorithms, experiment with proof of concepts, and build out scalable real-time production systems to tackle challenges the company faces.</div>
<div></div>
<h3 class="jobSectionHeader"><b>What you'll do:</b></h3><ul>
<li>Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently.</li>
<li>Run Machine Learning experiments to test new modeling ideas.</li>
<li>Write clean, efficient, and maintainable code using industry best practices.</li>
<li>Collaborate closely with engineering teams, to deliver high-quality ML products. Participate in code reviews and provide constructive feedback to team members.</li>
<li>Identify performance bottlenecks and optimize system components for enhanced scalability.</li>
<li>Keep up to date with developments in machine learning outside the company.</li>
</ul><h3 class="jobSectionHeader"><b>Who you are:</b></h3><ul>
<li>New Grad to 1 year of experience.</li>
<li>You must be work-authorized in the United States without the need for employer sponsorship.</li>
<li>This is a hybrid role based in our San Francisco office. To ensure a manageable commute for in-office days, candidates must reside within a 60-mile radius of San Francisco, CA. No relocation candidates at this time.</li>
<li>Fluency in Python, Java or similar programming languages.</li>
<li>Strong skills in mathematics and statistics.</li>
<li>Working knowledge of ML algorithms such as classification, control systems, optimization, clustering, LLMs or recommendation systems.</li>
<li>An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering.</li>
</ul><div>The expected base salary range for this role is $151,300 to $178,000.</div><div></div><div><br>
At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes a performance bonus, equity, and a comprehensive benefits package. For more details, visit our Careers Page and see how we support our team. We are headquartered in San Francisco with offices around the world. Quantcast is an Equal Opportunity Employer. Please see the Applicant Privacy Notice for details on our applicant privacy policy. Join the team that unlocks potential.</div></div><div></div>

Machine Learning Engineer

Smvsoft LLC

<p><b>Founding Engineer - Applied AI</b><br/>San francisco, CA (Full time)- In-Office</p><p>$180k-$230k per annum</p><p><b>NO C2C</b></p><p><b>About the Role</b></p><p>Hiring a world-class Applied AI Engineer to build the core systems behind their automation engine for hardware engineering.</p><p>This is a deeply technical, high-impact role. You will be among the first technical hires and will own mission-critical systems end-to-end. The problems are ambiguous, the constraints are real, and the expectations are high. If you move fast from idea to production, care deeply about customer experience, and want to build foundational AI infrastructure for the world's most impactful industries, this role is for you.</p><p><b>Key Responsibilities</b></p><ul><li>Design and implement core workflows and infrastructure for hardware engineering agents, including intelligent context management, novel indexing approaches, and post-training</li><li>Build agents and ML models that can interpret, reason over, and manipulate complex engineering design data, integrating with enterprise-grade engineering tools and systems</li><li>Work closely with customers and the engineering team to deliver AI-powered workflows that are reliable, intuitive, and trusted in production environments</li><li>Prototype rapidly, validate ideas with real users, and ship frequently</li><li>Influence engineering culture, architecture decisions, and the future of the product</li></ul><p><b>Requirements</b></p><p><b>Must-Have</b></p><ul><li>Bachelor's or higher in Computer Science, Machine Learning, or equivalent experience</li><li>Strong familiarity with LLM architectures and agent research trends</li><li>Excellent programming skills with experience using ML libraries such as PyTorch, Hugging Face, and W&amp;B</li><li>Experience building production ML or AI systems</li><li>Solid practical experience with search and information retrieval</li><li>Moves fast from idea to production, with a genuine care for customer experience</li><li>Based in or willing to relocate to San Francisco, or an exceptional remote candidate</li></ul><p><b>Nice-to-Have</b></p><ul><li>2+ years in applied machine learning, backend engineering, or AI infrastructure</li><li>Experience working with machine learning over geometric data, including CAD</li><li>Track record of high-impact contributions or published papers at top-tier AI labs or teams</li></ul><p>Pay: $180,000.00 - $230,000.00 per year</p><p>Work Location: In person</p>

Founding Engineer - Applied AI

Common Sense Media

<div><p><b>Data Scientist</b></p><div></div><div><div><div><div><p><b>
Organization</b></p><p><br>
Common Sense Media</p></div><div><p><b><br>
Department</b></p><p><br>
Data</p></div><div><p><b><br>
Reports To</b></p><p><br>
Senior Director, Data &amp; Analytics</p></div><div><p><b><br>
Location</b></p><p><br>
San Francisco, CA</p></div><div><div><p><b><br>
Classification</b></p><p><b><br>
Salary Range</b></p></div><div><p><br>
Full-time, Exempt</p>
<p>$140,00&ndash;$166,250</p></div></div><br>
</div></div></div><p>
</p><p></p><p><b>POSITION OVERVIEW</b></p><p>
Common Sense Media is seeking a Data Scientist to help build data capabilities that allows the organization to answer the questions that matter most to advancing our mission and driving impact for kids and families. This is a hands-on, full-stack individual contributor role responsible for developing pipelines, models, and analyses that turn data from across the Common Sense Media ecosystem into reliable, decision-ready insights.</p><p>
The Data Scientist will develop predictive and statistical models that support organization-wide decisions, design and analyze experiments, apply causal inference methods, and lead impact analyses that measure how Common Sense Media's work affects kids, families, and educators, translating findings into clear, actionable recommendations for both technical and non-technical audiences. The Data Scientist's work will span the full range of data science at Common Sense Media, from foundational data engineering and data modeling through analytics, machine learning, experimentation, and impact analysis.</p><p>
As a senior technical voice on the team, the Data Scientist will help uplevel the organization's capabilities in data science, machine learning, and generative AI, advising on methodology, helping to develop and test AI product features, and raising the technical bar within product and engineering.</p><p>
</p><p><b>KEY RESPONSIBILITIES</b></p><p><i>
Analytics &amp; Modeling</i></p><ul><li><p>
Conduct rigorous exploratory and descriptive analyses that establish the foundational understanding of our audiences, programs, and performance.</p></li><li><p>
Develop predictive and statistical models that support organization-wide decisions.</p></li><li><p>
Apply modern machine learning techniques to ship models and analyses that drive impact.</p></li></ul><p><i>
Experimentation &amp; Causal Inference</i></p><ul><li><p>
Design and execute A/B tests and randomized controlled trials.</p></li><li><p>
Leverage rigorous quasi-experimental designs (e.g., difference-in-differences, regression discontinuity) and advanced causal inference techniques to evaluate the impact of complex product and program decisions where randomized testing is not feasible.</p></li></ul><p><i>
Impact Measurement</i></p><ul><li><p>
Lead rigorous impact analyses and program evaluations that measure how Common Sense Media's work affects kids, families, and educators.</p></li><li><p>
Apply causal inference and evaluation methods to measure real-world outcomes.</p></li></ul><p><i>
Insights &amp; Communication</i></p><ul><li><p>
Translate findings into clear, actionable recommendations for both technical and non-technical audiences.</p></li><li><h1 class="jobSectionHeader">
Partner closely with colleagues across Common Sense Media to put data to work across the organization.</h1></li></ul><p><i><br>
Analytics Engineering</i></p><ul><li>
Own the data models that turn raw data into clean, reliable, analysis-ready data sets used across the organization.</li><li>
Work with internal teams and external partners to establish data collection approaches, integrate new data sources, and ensure that incoming data is structured and trustworthy.</li><li><h1 class="jobSectionHeader">
Build and maintain the data pipelines and transformations necessary to support modeling, reporting, and impact measurement.</h1></li></ul><p><i><br>
Technical Leadership</i></p><ul><li><p>
Serve as a senior technical voice on the team, advising on methodology and raising the technical bar around how to use data in thoughtful decision-making.</p></li><li><p>
Help uplevel the organization's capabilities in data science, machine learning, and generative AI, supporting the development and testing of AI tools and features across the organization.</p></li></ul><p>
</p><p><b>QUALIFICATIONS</b></p><ul><li>
8+ years of experience in applied data science, analytics, or a closely related quantitative field, with a track record of shipping models and analyses that have changed decisions.</li><li>
Strong hands-on skills in SQL and Python or R, and expert use of standard machine learning libraries.</li><li>
Experience building and maintaining production data pipelines using modern cloud data warehouses (Snowflake, BigQuery, or Redshift) and modern data stack tooling (dbt, Airflow, Fivetran, or equivalents).</li><li>
Demonstrated experience designing and analyzing experiments, including A/B tests, quasi-experiments, and causal inference methods.</li><li>
Experience leading rigorous impact or program evaluation that measures real-world outcomes.</li><li>
Experience mentoring junior data scientists.</li><li>
Excellent written and verbal communication skills, with the ability to translate technical work into clear narratives for both technical and non-technical audiences.</li><li>
Demonstrated ability to serve as a senior technical voice within an organization, raising the technical bar of teammates and helping non-technical colleagues use data and AI tools effectively in their work.</li><li><h1 class="jobSectionHeader">
Strong understanding of data governance, privacy, and responsible data and AI practices, with particular sensitivity to data involving children and families.</h1></li><li><h1 class="jobSectionHeader">
Familiarity with product analytics, CRM, and marketing platforms (Amplitude, Google Analytics, Salesforce, Braze) and their underlying data structures is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience building predictive models for subscription, retention, lifetime value, or similar member or customer lifecycle problems is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience implementing and evaluating generative AI or LLM-based solutions, including prompt engineering, fine-tuning, retrieval-augmented generation, or self-hosted models, with rigorous evaluation against human or ground-truth baselines, is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience designing AI evaluation frameworks, including human-in-the-loop evaluation, bias and fairness assessment, and ongoing monitoring of model performance, is a plus.</h1></li><li><h1 class="jobSectionHeader">
Prior experience in a mission-driven, nonprofit, education, or media organization is a plus.</h1></li></ul><p>
</p><p><b>WHAT WE OFFER</b></p><ul><li>
The opportunity to really make a difference in the lives of kids and families!</li><li>
A mission-driven team with a 23-year track record of impact for families and children.</li><li>
Competitive nonprofit compensation and comprehensive benefits.</li><li>
A collaborative, flexible work environment with meaningful leadership access and visibility.</li></ul><p>
</p><p><b>ABOUT COMMON SENSE MEDIA</b></p><p>
Common Sense Media is the leading nonprofit organization dedicated to improving the lives of kids and families by providing the research-backed information, education, and independent voice they need to thrive in the age of apps, algorithms, and AI. We rate, educate, and advocate for policies to protect and prepare kids online. Our ratings, research, and resources reach more than 150 million users globally, over 1.4 million educators, and more than 100,000 schools worldwide every year. Learn more at commonsense.org.</p></div><p></p>

Data Scientist

Dolby

<div><div><div><div><div><div><div>Job description
 </div><div></div><p>Company and benefits</p> <p>Social Impact &amp; Sustainability</p>
</div></div></div><div><div><div><div><div>Job ID</div>
<div>41565</div>
</div></div><div><div><p>Join the leader in entertainment innovation and help us design the future. The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work side by side with industry leaders. Amplify your insatiable curiosity by implementing real-world solutions that revolutionize how people communicate and how entertainment is created, delivered, and enjoyed worldwide. We offer a collegial culture, challenging projects, and excellent compensation and benefits.</p>
<p>For this high functioning team, the nature of the work benefits from frequent in-office presence, and employees may be expected to work from a company office up to four days per week. While we remain committed to flexibility, this team&rsquo;s rhythm includes regular in-person connection to support collaboration, learning, and impact.</p>
<p>For any student seeking to gain invaluable expertise through meaningful, personal contributions, we invite you to join us in continuing to design a future where technology meets entertainment!</p>
<p>The <b>Legal </b>Department provides core legal support to all Dolby functions, runs several IP-centric businesses, and leads government relations.</p>
<div><div><p>We are looking for an intern to join our Business Planning &amp; Operations group within the Legal organization. In this role, you will support cross-functional teams including the Patent Licensing business, Global Dispute Resolution group, and IP Protection group. Working within the Business Operations group, you will contribute to process optimization and automation efforts while collecting, processing, and synthesizing large datasets into compelling market insights.
</p></div><div><p><b>Key Responsibilities</b></p>
</div><div><p><b>Data Analysis &amp; Insights</b></p>
</div><div><ul><li><p>Collect, clean, and analyze large datasets to identify patterns and trends in the consumer electronics market.</p>
</li></ul></div><div><ul><li><p>Consolidate data from multiple sources into clear, meaningful summaries that inform strategic business decisions.</p>
</li></ul></div><div><ul><li><p>Build and maintain dashboards and reports to track key performance indicators and market movements.</p>
</li></ul></div><div><ul><li><p>Present findings to stakeholders in a concise and actionable format.</p>
</li></ul></div><div><p><b>Market Research</b></p>
</div><div><ul><li><p>Conduct in-depth primary and secondary research on consumer electronics industry trends, competitor activity, and emerging technologies.</p>
</li></ul></div><div><ul><li><p>Monitor market developments and synthesize information into periodic research briefs and newsletters.</p>
</li></ul></div><div><ul><li><p>Evaluate competing products, tools, and technologies to support strategic planning and business development.</p>
</li></ul></div><div><p><b>Process Optimization &amp; Automation</b></p>
</div><div><ul><li><p>Support the identification and implementation of process improvements across Business Operations workflows.</p>
</li></ul></div><div><ul><li><p>Assist in designing and deploying automation solutions to streamline repetitive tasks and increase team efficiency.</p>
</li></ul></div><div><ul><li><p>Document existing processes and collaborate with stakeholders to develop optimized workflows and standard operating procedures.</p>
</li></ul></div><div><ul><li><p>Leverage AI tools and automation platforms to enhance productivity across the Global Dispute Resolution, IP Protection, and Patent Licensing teams.</p>
</li></ul></div></div><div><div><p><b>Data Management &amp; Systems Support</b></p>
</div><div><ul><li><p>Support the extraction, transformation, and loading (ETL) of data into visualization and reporting platforms.</p>
</li></ul></div><div><ul><li><p>Assist in maintaining and improving CRM data quality and workflows in Salesforce.</p>
</li></ul></div><div><ul><li><p>Collaborate with cross-functional teams to ensure data integrity and consistency across systems.</p>
</li></ul></div><div><p><b>Qualifications</b></p>
</div><div><p><b>Required</b></p>
</div><div><ul><li><p>Strong analytical mindset with attention to detail and a passion for turning raw data into actionable insights.</p>
</li></ul></div><div><ul><li><p>Excellent written and verbal communication skills.</p>
</li></ul></div><div><p><b>Preferred Experience &amp; Skills</b></p>
</div><div><ul><li><p>Proficiency in Microsoft Excel, including pivot tables, VLOOKUP/XLOOKUP, and data modeling.</p>
</li></ul></div><div><ul><li><p>Experience with data analysis tools or programming languages (e.g., Python, R, SQL).</p>
</li></ul></div><div><ul><li><p>Familiarity with AI agents, automation tools, or large language model (LLM) applications.</p>
</li></ul></div><div><ul><li><p>Exposure to CRM platforms, particularly Salesforce.</p>
</li></ul></div><div><ul><li><p>Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.</p>
</li></ul></div><div><ul><li><p>Prior coursework or project experience in market research, business analysis, or consumer behavior.</p>
</li></ul></div><div><p><b>Eligibility:</b></p>
</div><div><p>Working towards a Bachelor's degree or Master&rsquo;s degree in Business, Economics, Data Science, Statistics, Computer Science, or a related field; recent grads who are within 6 months of graduation are also eligible to apply. Must be available to work full-time Monday &ndash; Friday for 3 months between September 2026- December 2026.</p>
</div><div><p>Start dates for the internship are as follows: (*note* this date is not flexible)</p>
</div><div><ul><li><p>September 21, 2026</p>
</li></ul></div></div><p>The San Francisco/Bay Area base hourly range for this internship position is $33-38/hr and can vary if outside of this location. Our hourly 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 hourly range and perks and benefits for your location during the hiring process.</p></div></div></div></div></div></div></div>

Market Research & Data Analytics Intern

Genentech

<div><div><h3 class="jobSectionHeader"><b>The Position</b></h3>
<p>NOTE: Qualified candidates for both South San Francisco, CA and Mississauga, Canada will be considered equally.</p>
<p></p><p>At Roche, we thrive to deliver more benefits to our patients as part of our 10-year Pharma vision. An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). PT Digital and Operational Excellence (PTE) is the organization that catalyzes the global development and execution of PT&rsquo;s Digital and Operational Excellence strategy to enable PT to realize our performance promises. We build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients.</p>
<p></p><p>We aim to activate data citizenship and digital mind, revolutionize our FAIR data ecosystem and systems landscape, re-design excellent processes, and generate transformative insights. We collaborate closely with global functions to deliver impactful value to our patients.</p>
<p></p><h3 class="jobSectionHeader"><b>The Opportunity</b></h3>
<p></p><p>As a Senior Data Scientist and Statistician, you will play a critical role in advancing data science and statistical solutions across PT, with a special focus on <b>biologics development</b>. You will collaborate with scientists, engineers, business leaders, and fellow data scientists to design experiments, analyse data, and develop tools that generate insights, improve efficiency, and accelerate drug development.</p>
<p>Beyond hands-on analytics, you will mentor junior colleagues, promote best practices, and lead complex projects - shaping the way data science and statistics contribute to PT&rsquo;s success.</p>
<p></p><p><b>Main Responsibilities</b></p>
<ul><li><p>Provide statistical expertise and develop data science solutions to Pharma technical operations, including process development, analytical method development, commercial manufacturing and quality control for biologics.</p>
</li><li><p>Partner with cross-functional teams to frame critical scientific and operational questions, translating business needs into analytical strategies.</p>
</li><li><p>Design and oversee studies to generate high-quality data for robust statistical analysis.</p>
</li><li><p>Apply advanced statistical methods, machine learning, and AI to interrogate complex datasets, driving actionable insights.</p>
</li><li><p>Interpret results and clearly communicate findings, influencing strategic and operational decisions.</p>
</li><li><p>Develop and maintain software tools, algorithms, and automated workflows for data integration, cleaning, and large-scale analysis across heterogeneous sources.</p>
</li><li><p>Build and sustain strong collaborations with internal and external stakeholders.</p>
</li><li><p>Design and deliver training in statistics and data science to upskill the organisation.</p>
</li><li><p>Stay current with emerging methods, regulatory guidance, and industry trends in statistics, data science, and drug development.</p>
</li><li><p>Mentor junior colleagues, guiding them in study design, statistical analysis, coding best practices, and modern data science approaches, building a collaborative and supportive learning environment.</p>
</li></ul><p></p><h3 class="jobSectionHeader"><b>Who you are</b></h3>
<p></p><ul><li><p><b>Educational Qualification:</b> Master's or Ph.D. in Statistics, Biostatistics, data science, and relevant fields.</p>
</li><li><p><b>Expertise and Experience:</b> Extensive experience in designing experiments (DOE), analyzing complex datasets, combined with a deep understanding of pharmaceutical technical development, particularly biologics. Advanced proficiency in statistical methods and software (e.g., R, JMP), with a proven ability to lead DOE for process characterisation, optimisation, and validation.</p>
</li><li><p><b>Regulatory and Collaborative Skills: </b>Strong familiarity with regulatory guidelines (FDA, EMA), excellent collaborative skills for working in multidisciplinary teams, and outstanding communication skills for reporting and stakeholder liaison.</p>
</li><li><p><b>Problem-Solving and Project Management: </b>Strong analytical and problem-solving skills, ability to manage multiple projects, and high attention to detail to ensure accuracy and reliability.</p>
</li><li><p><b>Continuous Improvement and Learning: </b>Self-motivated, able to work independently and coaching junior colleagues in teams, keen on staying updated with new developments in statistics and data science, and passionate about continuous improvement and learning.</p>
</li></ul><p></p><p>Relocation benefits are not available for this posting.</p>
<p></p><p>The expected salary range for this position based on the primary location of South San Francisco, CA, is $156,200 to $290,200. 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><b>Benefits</b></p>
<p></p><p>#LI-PK1</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><h2 class="jobSectionHeader"><b>JOB FACTS</b></h2>
<div><div><ul><li><h3 class="jobSectionHeader"><b>Job Sub Category</b></h3>
<p>Computational Biology</p>
</li><li><h3 class="jobSectionHeader"><b>Schedule</b></h3>
<p>Full time</p>
</li><li><h3 class="jobSectionHeader"><b>Job Type</b></h3>
<p>Regular</p>
</li><li><h3 class="jobSectionHeader"><b>Posted Date</b></h3>
<p>Jun 30th 2026</p>
</li><li><h3 class="jobSectionHeader"><b>Job ID</b></h3>
<p>202606-116612</p></li></ul></div></div></div></div><p></p>

Senior Data Scientist

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>6/29/2026</p>
</div><div><p>Description</p>
<div>Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)<p><b>
Overview:</b></p><p>
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.</p><p><b>
Team Description:</b></p><p>
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.</p><p></p><p><b><br>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><p><b>
The Ideal Candidate:</b></p><ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)<p><b>
Overview:</b></p><p>
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.</p><p><b>
Team Description:</b></p><p>
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.</p><p></p><p><b><br>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><p><b>
The Ideal Candidate:</b></p><ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
229,900.00 - 262,400.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

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