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recruiter ai ml research

OpenAI

<div>
 
 About The Team
 
 
 
 OpenAI&rsquo;s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world&rsquo;s most exceptional talent under one roof to push the boundaries of what&rsquo;s possible.
 
 
 Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI&rsquo;s talent.
 
 
 
 About The Role
 
 
 
 You will own and execute long-term talent strategies to identify, engage, and recruit many of the world&rsquo;s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role.
 
 
 You will operate as a strategic partner to OpenAI&rsquo;s research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve.
 </li>
 <li>
 Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist.
 </li>
 <li>
 Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles.
 </li>
 <li>
 Serve as a trusted advisor throughout candidate evaluation and closing &mdash; helping leaders calibrate for research excellence, long-term potential, and organizational fit.
 </li>
 <li>
 Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Significant experience recruiting within highly technical or specialized environments.
 </li>
 <li>
 Deep interest in AI research and a desire to engage directly with global research communities.
 </li>
 <li>
 Experience recruiting within highly technical or specialized environments such as ML/AI, distributed systems, infrastructure, scientific computing, or quantitative research.
 </li>
 <li>
 Track record of leading complex, ambiguous technical searches from early talent mapping through close.
 </li>
 <li>
 Experience navigating high-stakes negotiations with senior technical or research candidates.
 </li>
 <li>
 Comfort operating in fast-moving environments where hiring priorities and role definitions may evolve over time.
 
 
 </li>
 </ul>
 
 Workplace &amp; Location
 
 
 
 This role is based in our San Francisco office and we aren&rsquo;t considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees.
 
 
 Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more.
 
 
 
 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&rsquo;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, and requests can be made via this link.
 
 
 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 Range: $216K - $240K
</div>

Recruiter, AI/ML Research

Call For Referral

<div>
 
 
 Machine Learning Engineer
 
 
 
 
 Work Mode:
 
 
 Remote
 
 
 
 
 Compensation:
 
 
 $100&ndash;$120 per hour
 
 
 
 
 Work Type:
 
 
 Hourly, Independent
 
 
 
 
 Role Overview
 
 
 
 This role supports the evaluation of
 
 advanced machine learning systems
 
 in collaboration with
 
 leading AI research initiatives
 
 . It is intended for
 
 experienced machine learning engineers and researchers
 
 who can contribute to the development of
 
 high-quality evaluation suites
 
 that measure AI performance on
 
 real-world machine learning engineering tasks
 
 .
 
 
 The work focuses on translating
 
 practical ML research and engineering workflows
 
 into
 
 structured benchmarks
 
 for
 
 frontier models
 
 . This is a
 
 project-based, fully remote
 
 opportunity for professionals with
 
 strong hands-on ML research and engineering experience
 
 .
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Design and develop
 
 detailed evaluation suites for machine learning engineering tasks
 </li>
 <li>
 
 Evaluate AI-generated solutions
 
 across model training, debugging, optimization, and experimentation workflows
 </li>
 <li>
 
 Analyze and document
 
 system behavior, performance characteristics, and limitations
 </li>
 <li>
 
 Contribute to the creation of benchmarks
 
 that reflect real-world ML engineering practices
 </li>
 <li>
 
 Maintain high standards
 
 of technical accuracy, clarity, and consistency in all deliverables
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 3+ years
 
 of experience in machine learning engineering or applied ML research
 </li>
 <li>
 
 Hands-on experience
 
 with model development, experimentation, and evaluation
 </li>
 <li>
 
 Background in ML research
 
 in an industry or academic setting (strongly preferred)
 </li>
 <li>
 
 Strong ability
 
 to reason about ML system design choices and technical trade-offs
 </li>
 <li>
 
 Excellent written communication skills
 
 and
 
 high attention to technical detail
 
 </li>
 </ul>
 
 
 Work &amp; Payment Details
 
 
 <ul>
 <li>
 You will operate as an
 
 independent professional
 
 </li>
 <li>
 This is a
 
 fully remote
 
 role with a
 
 flexible schedule
 
 </li>
 <li>
 Projects may be
 
 extended, shortened, or concluded
 
 based on needs and performance
 </li>
 <li>
 The work does
 
 not involve access to confidential or proprietary information
 
 from any employer, client, or institution
 </li>
 <li>
 
 Payments are made weekly
 
 via
 
 Stripe or Wise
 
 , based on services delivered
 </li>
 <li>
 Candidates requiring
 
 H1-B or STEM OPT
 
 sponsorship are
 
 not supported
 
 at this time
 </li>
 </ul>
 
 
 Application &amp; Onboarding Process
 
 
 <ul>
 <li>
 
 Upload your resume
 
 </li>
 <li>
 
 AI interview:
 
 A short
 
 15-minute
 
 conversational session to understand your background, experience, and interest in the role
 </li>
 <li>
 
 Follow-up communication
 
 within a few days with next steps and onboarding details
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer (Remote)  $100 –$120/hr

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

YO IT Consulting

<div>
 
 Engagement Type:
 
 Independent Contractor
 
 
 
 Work Mode:
 
 Fully Remote
 
 
 
 Contract Type:
 
 Project-Based (Short-Term, Extendable)
 
 
 
 Role Overview
 
 
 
 collaborating with a leading AI research lab to support the evaluation of advanced machine learning systems. We are seeking experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks. The work focuses on translating practical ML research and engineering workflows into structured benchmarks for frontier models. This is a project-based, remote opportunity suited for experts with hands-on ML research experience.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and write detailed evaluation suites for machine learning engineering tasks
 </li>
 <li>
 Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation
 
 
 </li>
 </ul>
 
 Ideal Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience in machine learning engineering or applied ML research
 </li>
 <li>
 Hands-on experience with model development, experimentation, and evaluation
 </li>
 <li>
 Background in ML research (industry lab or academic setting strongly preferred)
 </li>
 <li>
 Strong ability to reason about ML system design choices and tradeoffs
 </li>
 <li>
 Clear written communication and high attention to technical detail
 
 
 </li>
 </ul>
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 
 
 Contract and Payment Terms
 
 
 <ul>
 <li>
 You will be engaged as an independent contractor.
 </li>
 <li>
 This is a fully remote role that can be completed on your own schedule.
 </li>
 <li>
 Projects can be extended, shortened, or concluded early depending on needs and performance.
 </li>
 <li>
 Your work at will not involve access to confidential or proprietary information from any employer, client, or institution.
 </li>
 <li>
 Payments are weekly on Stripe or Wise based on services rendered.
 </li>
 </ul>
</div>

Machine Learning Engineer - Remote

Cartesia

<div><h1 class="jobSectionHeader">About Cartesia</h1>
Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text&mdash;1B text tokens, 10B audio tokens and 1T video tokens&mdash;let alone do this on-device.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
About the Role
We're looking for an exceptional Product Manager to join Cartesia and help shape the future of voice AI. In this role, you'll drive product strategy and execution across our platform, working at the intersection of cutting-edge AI technology and real-world customer needs. You'll own the product roadmap for your area, make data-informed decisions, and collaborate closely with engineering, research, design, and go-to-market teams to build products that set the standard for voice AI.
This is a high-impact, high-ownership role at an early-stage company where your work will directly shape Cartesia's trajectory. You'll be embedded in a fast-moving team that cares deeply about quality, craft, and building products developers and enterprises love. 
Your Impact<ul><li>
Define and own the product roadmap for your area, translating company strategy into prioritized initiatives with clear goals and measurable outcomes</li><li>
Partner with engineering and research teams to scope, design, and ship high-quality product experiences&mdash; balancing speed with long-term quality</li><li>
Develop a deep understanding of Cartesia's customers, their workflows, and their pain points through direct engagement, qualitative research, and quantitative analysis</li><li>
Drive cross-functional alignment across research, data, engineering, design, and GTM teams to prioritize and execute on the highest-impact opportunities</li><li>
Define success metrics for your product area and establish a culture of measurement, using data to inform decisions and evaluate impact</li><li>
Conduct competitive analysis to identify gaps, opportunities, and differentiation strategies that position Cartesia as the leading voice AI platform</li><li>
Communicate clearly and persuasively with both technical and non-technical stakeholders, from individual engineers to executive leadership</li><li>
Build frameworks and documentation that help internal teams and customers understand product capabilities, limitations, and best practices</li></ul>
What You Bring<ul><li>
6+ years of product management experience with technical products, preferably in AI/ML, developer tools, or infrastructure</li><li>
Proven ability to define product strategy, make difficult prioritization decisions, and drive execution in a fast-paced environment</li><li>
Strong analytical mindset with experience defining success metrics, designing experiments, and making data-driven decisions</li><li>
Deep customer empathy with a track record of conducting user research, synthesizing qualitative feedback, and translating insights into impactful product requirements</li><li>
Technical fluency to collaborate effectively with ML researchers, data scientists, and engineers&mdash; able to engage deeply on implementation tradeoffs</li><li>
Excellent cross-functional collaboration and communication skills; able to build trust and influence without direct authority</li><li>
Comfort operating in ambiguity and a strong bias toward action and iterative learning</li></ul>
Nice to Have<ul><li>
Direct experience with voice AI, speech technologies (TTS, STT), or conversational AI products</li><li>
Background in developer tools, API products, or infrastructure&mdash;especially with usage-based or self-serve growth models</li><li>
Experience building from 0 1 at an early-stage startup, or founder experience</li><li>
Familiarity with ML model evaluation, A/B testing methodologies, or data pipeline design</li><li>
SQL proficiency or experience with analytics tools such as Amplitude, Mixpanel, or Looker</li></ul> 
What We Offer
Lunch, dinner and snacks at the office
Fully covered medical, dental, and vision insurance for employees
401(k)
Relocation and immigration support
Your own personal Yoshi<h2 class="jobSectionHeader">
Our Culture</h2>
We&rsquo;re an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day.
We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don&rsquo;t sacrifice quality or design along the way.
We support each other. We have an open &amp; inclusive culture that&rsquo;s focused on giving everyone the resources they need to succeed.
Compensation Range: $200K - $270K</div>

Product Manager

<div>Site Name: Cambridge 300 Technology Square, London The Stanley Building, South San Francisco 611 Gateway Blvd 
Posted Date: Mar 2 2026 
At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.
The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing, and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia, and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK&rsquo;s unique access to data.
By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting-edge of machine learning research. To help us, we seek a passionate researcher who wishes to turn their talents to the application of causal machine learning to the healthcare sector. You will be working with multiple Research Engineers on building products to support multiple large-scale projects within AI/ML. In addition, the researcher will learn about the pharmaceutical industry and software engineering and translate their research into tools that aid discovery and development of transformational medicines and vaccines. You will have access to outstanding experts in biology, clinical and translational research, chemistry, (software) engineering, data science and machine learning; unrivalled data sources and GSK&rsquo;s state-of-the-art laboratory and compute infrastructure to help you develop and validate your machine learning research.
As a Machine Learning Engineer focusing on applications in oncology, you will be expected to:<ul><li>
Design and implement novel scientific approaches for biophysical modeling and foundation model-driven analysis of multi-modal clinical and genomic data for biomarker and target discovery to improve patient selection and enable next-generation assets.</li><li>
Design, develop, and implement analytical solutions using a variety of commercial and open-source tools (common tools include PyTorch and scikit-learn). &bull; Connect and collaborate with subject matter experts in biology, genomics, and medicine.</li><li>
Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models.</li><li>
Develop and embed automated and agentic processes for predictive model validation, deployment, and implementation.</li><li>
Deploy your algorithms to production to identify actionable insights from large databases.</li></ul><h1 class="jobSectionHeader">
Why you?
</h1>Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:<ul><li>
Master&rsquo;s degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field</li><li>
Experience in Python programming and knowledge in machine learning, statistics, and applied math.</li><li>
Familiarity with modern machine learning methods (generative models, representation learning)</li><li>
Experience in building deep learning models, preferably with exposure to biophysical modeling, functional genomics, molecular and cellular biology or to modeling dynamical systems</li><li>
Experience with at least one Deep Learning framework such as PyTorch</li></ul>
Preferred Qualifications:
If you have the following characteristics, they would be a plus:<ul><li>
PhD in computer science, applied mathematics, statistics, physics, systems biology, computational biology, bioinformatics, or a related field.</li><li>
Experience in analyzing real-world and/or clinical data.</li><li>
Experience in incorporating agentic models into ML workflows</li><li>
Understanding of best practices in software engineering, including training and operating algorithms at scale, and production deployment of ML services.</li><li>
Knowledge of cancer biology and precision oncology.</li><li>
Excellent written and verbal communication skills.</li><li>
Ability to digest, synthesize, and implement innovative methods from scientific literature.</li><li>
Ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices.</li><li>
Ability to work autonomously and collaboratively as part of a team, both teaching and learning every day.</li><li>
High impact publications at venues such as NeurIPS, ICML, ICLR etc. would be a plus</li><li>
Publicaiton in natural sciences would be a plus</li></ul>
#LI-GSK
# GSKAIML<ul><li>If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875.
</li></ul> 
The US salary ranges take into account a number of factors including work location within the US market, the candidate&rsquo;s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. 
 
If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at HR.AmericasSC-CS@gsk.com where you can also request a call.
Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK&rsquo;s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/</div>

AI/ML Engineer

Genentech

<div><div><div>THE POSITION</div>
A healthier future. It&rsquo;s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That&rsquo;s what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche&rsquo;s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&amp;D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
Within the CoE organization, the Data and Digital Catalyst organization drives the modernization of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.
The Opportunity:
The Research &amp; Early Development Senior Principal Engineer/Architect is a well-established, highly capable and credible architect who will contribute to and drive the implementation of a modern enterprise architecture strategy across Research and Early Development to build a modern, cohesive, scalable, and flexible technology stack that supports the ecosystem of platforms and systems as well as enabling seamless data flow and integration. In this role you will be the key architectural driver responsible for translating our long-term vision into pragmatic execution, enabling critical scientific use cases today while building the foundation for the next generation of automation, AI-enabled biology and drug discovery.
You will contribute to the development of architecture principles and frameworks that underpin the delivery of seamless digital journeys and modern corporate capabilities. You will leverage your understanding of Pharma Research &amp; Early Development to shape and guide how our core systems and platforms are built to power scalable research infrastructure, ensure operability, and enable cutting edge computational capabilities. The role balances scientific-centric design with robust enterprise integration, data privacy, and regulatory compliance. We strive to transform our digital landscape in order to advance the delivery of more innovative and transformative medicines for patients worldwide.
In this role, you will partner with scientists and engineers to shape transformation programs, digital service enhancements, and continuous improvement initiatives. You will support enterprise-wide architecture governance and decision making.
You will make pivotal contributions to the future of the CoE and Research and Early Development by:<ul><li>
Contributing to the definition and building of a modern enterprise architecture vision with standards, governance, and reusable design patterns.</li><li>
Driving the adoption of modern architectural principles and reference architectures that facilitate integration, automation, and AI/ML enablement across the organization.</li><li>
Evaluating and embedding cutting-edge technologies and forward-thinking architectural strategies to support future research and early development needs.</li><li>
Leading the transformation of bespoke legacy systems and complex tech stacks into modern, modular, and service-oriented ecosystems.</li><li>
Establishing best practices for compliance, data security, and privacy, while fostering a culture of collaboration with partners across Roche Informatics, gRED, and pRED.</li><li>
Driving the architecture for large-scale strategic initiatives and application development projects to facilitate the effective acquisition, processing, and sharing of scientific information.</li></ul>
Who You Are:
We are looking for a leader with the following qualifications and experience:<ul><li>
You hold a BSc degree (MS or PhD preferred) in a scientific or technical field with 8+ years of experience (Senior Principal Engineer); BSc degree (MS or PhD preferred) with 10&ndash;12+ years of experience (Enterprise Architect).</li><li>
Experience as a matrix leader is a plus.</li><li>
You have proven experience in enterprise and solution architecture, including translating strategic vision into actionable solution designs and implementation blueprints in large, complex, regulated organizations, ideally in the healthcare or biotech domain.</li><li>
You possess strong knowledge in enterprise systems, data, and information architectures across cloud, hybrid, and on-premise environments.</li><li>
Familiarity with AWS is a plus.</li><li>
You have a strong understanding of modern digital technologies, including microservices, event-driven systems, AI/ML platforms, and modern DevSecOps practices.</li><li>
You have an understanding of how data is generated, processed, and leveraged to inform scientific decisions in Pharma Research &amp; Early Development.</li><li>
You have demonstrated experience in mentoring, influencing, and guiding technical peers and collaborating effectively with multidisciplinary teams.</li><li>
You have a proven ability to design and drive the delivery of complex computational projects, ensuring efficiency, scalability, and reproducibility.</li><li>
You are a strong communicator with the ability to clearly document and present architectural designs and options to technical teams and business stakeholders.</li></ul>
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
The expected salary range for this position based on the primary location of South San Francisco, California is $189,300 - $351,500 (Senior Principal Engineer) and $217,400 - $403,700 (Enterprise Architect). 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.
Benefits
#LI-JD1
#ComputationCoE
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.
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.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Mar 2nd 2026
</div><div>Job ID
202602-105168</div></ul></div></div></div></div>

Research & Early Development Enterprise Architect

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