ai engineer

Roku

<div>
 Teamwork makes the stream work.
 
 &nbsp;
 
 
 Roku is changing how the world watches TV
 
 
 Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 
 
 From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
 
 
 &nbsp;
 
 
 &nbsp;
 
 
 About the Team
 
 
 
 At Roku, the Device Monetization and Themed Experiences (DMTE) team, a part of the Advertising organization, is where the magic behind the scenes happens. We're the engineers who build the high-performance graphics and UI foundations that power the FRAME engine &mdash; the core technology enabling Roku's smooth, responsive, and visually rich experiences on millions of devices worldwide. Our work lives in the middleware and UI layers, and its impact is felt every time a user navigates a menu, enjoys an animated ad, or is wowed by the bespoke experience built to market the latest TV show or Movies. We thrive on solving the toughest technical challenges &mdash; from optimizing UI rendering to fine-tuning memory usage &mdash; using BrightScript (a JavaScript-like language) to deliver rock-solid, high-performance solutions. We work in a collaborative, high-trust environment where great ideas can come from anywhere, partnering closely with firmware, UI, and product teams to ensure our platform is lightning fast, reliable, and ready for the next generation of streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you.
 
 
 
 About the Role
 
 
 As a Senior Agentic AI Engineer in the DMTE team, you'll be the driving force behind embedding intelligent, autonomous AI capabilities into Roku's platform &mdash; reimagining how our systems create, optimize, and deliver experiences to tens of millions of devices. Rather than building UI features directly, you'll design and deploy agentic AI systems that reason, plan, and act across our development and delivery pipelines &mdash; from automating the generation of themed experiences to enabling self-optimizing rendering workflows within the FRAME engine. You'll leverage your years of experience in software engineering and building world class UI to build AI agents that understand the constraints of embedded, performance-critical systems and operate effectively within them. This is a role for engineers who think in terms of autonomous systems, multi-step reasoning, and tool-use architectures &mdash; and who want to fundamentally reshape how a streaming platform is built, maintained, and evolved.
 
 
 What You'll Be Doing
 
 <ul>
 <li>
 We don't train models, we don't 'fine-tune' LLMs; We build automated agentic processes
 </li>
 <li>
 Design, build, and deploy agentic AI systems that autonomously generate, test, and optimize BrightScript/TypeScript code and UI experiences for the FRAME engine
 </li>
 <li>
 Architect multi-agent workflows (planning, tool-use, retrieval, execution, validation) that accelerate development and reduce manual engineering effort across the team
 </li>
 <li>
 Develop AI-powered automation that understands the constraints of embedded C++ environments and produces performance-safe, memory-efficient outputs
 </li>
 <li>
 Build and maintain evaluation frameworks to measure agent reliability, accuracy, and performance in production-critical contexts
 </li>
 <li>
 Collaborate with cross-functional teams (firmware, UI, product) to identify high-impact opportunities for AI-driven automation and intelligent tooling
 </li>
 <li>
 Stay at the forefront of agentic AI research &mdash; including LLM orchestration, RAG, function calling, and autonomous code generation &mdash; and bring those advances into our platform
 </li>
 <li>
 Mentor engineers across the team on AI-first development practices and help establish best practices for human-agent collaboration
 </li>
 </ul>
 
 &nbsp;
 
 
 &nbsp;
 
 
 We're Excited if you Have
 
 &nbsp;
 <ul>
 <li>
 Proven experience building agentic AI systems that generate, optimize, and deliver scalable applications in production environments
 </li>
 <li>
 Strong software engineering foundation with a track record of shipping reliable, performant systems at scale
 </li>
 <li>
 Deep familiarity with modern LLM orchestration tools, prompt engineering techniques, and AI/ML frameworks
 </li>
 <li>
 Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development for AI agents
 </li>
 <li>
 A builder's mentality &mdash; you don't just use AI tools, you create autonomous systems that multiply the impact of entire teams
 </li>
 <li>
 Proficiency in TypeScript (or similar languages) and Python for agent development, scripting, and pipeline automation
 </li>
 <li>
 A software engineer's instinct for reliability, testability, and clean architecture &mdash; applied to the unique challenges of non-deterministic AI systems
 </li>
 <li>
 Excellent technical communication, root cause analysis abilities, and a proactive mindset with passion for fast iteration
 </li>
 </ul>
 
 &nbsp;
 
 
 &nbsp;
 
 
 Our Hybrid Work Approach
 
 
 Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
 
 
 &nbsp;
 
 
 Benefits
 
 
 Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 
 
 &nbsp;
 
 
 Accommodations
 
 
 Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 
 
 &nbsp;
 
 
 The Roku Culture
 
 
 Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 
 
 We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 
 
 To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 
 
 By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 
</div>

Senior Agentic AI Engineer

Healx

<div>
 Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients?
 
 
 
 About Healx
 
 
 Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery.
 
 
 Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life.
 
 
 Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box - we still want to hear from you and encourage you to apply!
 
 
 Our values
 
 
 
 <ul>
 <li>
 Care for Rare - Rare disease patients are at the heart of what we do
 </li>
 <li>
 Grow as individuals - We are learners always seeking to enhance our expertise
 </li>
 <li>
 Win as a team - We strive to remain inclusive and diverse and we celebrate successes and lessons together
 </li>
 <li>
 Innovate and deliver - Our mission requires rapid innovation and calculated risks that won&rsquo;t compromise our high standards
 
 
 
 
 </li>
 </ul>
 The role
 
 
 Healx is looking for an Agentic AI Engineer to build LLM-agentic workflows that power our drug discovery platform.
 
 
 Reporting to our Director of Tech Strategy, you'll design and build agents that solve real drug discovery problems. Working closely with scientists across the company, you'll understand the questions that matter most to their work, then design and refine agents that reason over our knowledge graph, proprietary methods, the scientific literature and other sources to generate, triage and rationalise testable therapeutic hypotheses for rare diseases.
 
 
 You won't be starting from scratch. We've adopted an agentic framework (our stack currently includes Python, ADK and AgentSpace) and built workflows already delivering impact across our drug discovery platform. But this is a fast-moving field, so a big part of the role is helping us adapt as the landscape shifts. You'll work alongside the technical lead who owns our agentic infrastructure, with scope to take ownership of specific workflows and grow your influence as you do.
 
 
 You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and refine AI-agentic workflows on our internal framework to help drug discovery scientists generate the best testable therapeutic hypotheses to progress.
 </li>
 <li>
 Translate discovery problems into agent designs, working out where an agentic approach genuinely adds value, and where it doesn&rsquo;t
 </li>
 <li>
 Integrate agents with our knowledge graph, proprietary methods, scientific literature and other sources so they reason over the right evidence for each problem
 </li>
 <li>
 Expand and maintain our existing genAI tools so they keep pace with the team&rsquo;s needs and a fast-moving ecosystem
 </li>
 <li>
 Contribute to how we evaluate agentic workflows, helping shape sensible evals, testing and quality standards as the practice matures
 </li>
 <li>
 Write clear, maintainable, well-documented code that others on the team can build on
 
 
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 In 3 months, you have:
 
 
 
 <ul>
 <li>
 Got to grips with our agentic framework and the discovery problems it serves, and made your first contributions land in the codebase
 </li>
 <li>
 Built working relationships with the scientists and engineers you partner with, and started turning their feedback into concrete improvements
 
 
 
 
 </li>
 </ul>
 In 6 months you have:
 
 
 
 <ul>
 <li>
 Taken at least one agentic workflow from idea to a production tool scientists use in our drug discovery pipeline - built on our framework, with sensible evaluation and documentation
 </li>
 <li>
 Operating with real independence - owning agentic workflows ent to end, proposing improvements
 
 
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 We'd love to hear from you if your experience and interests overlap with much of this profile (and we don't expect every box ticked - if you've built things you're proud of and you're excited about what Healx does, get in touch):
 
 
 
 <ul>
 <li>
 You've built and shipped LLM-agentic systems that deliver real value &mdash; agents that use tools, orchestrate multi-step workflows and behave reliably in production. We care more about what you've built than how long you've been at it.
 </li>
 <li>
 Strong software engineering fundamentals &mdash; you write clear, tested, maintainable code that others can build on
 </li>
 <li>
 Fluency with the modern LLM/agent toolkit &mdash; model APIs, prompting, tool use, RAG, and the patterns this fast-moving ecosystem is converging on (MCP, agent frameworks, evals).
 </li>
 <li>
 A pragmatic sense of where an agentic approach genuinely helps and where it doesn't, and you enjoy working closely with non-engineers &mdash; the kind of person who'll sit with a scientist to understand what they actually need.
 
 
 
 
 </li>
 </ul>
 It&rsquo;s a bonus if you have:
 
 
 
 <ul>
 <li>
 Experience in drug discovery, biology, or another life scientific domain &mdash; or simply a real appetite to learn one
 </li>
 <li>
 Familiarity with knowledge graphs or reasoning over structured or heterogeneous data
 </li>
 <li>
 Experience building evaluation harnesses or testing strategies for LLM systems
 </li>
 <li>
 A track record of picking up unfamiliar domains quickly and becoming useful fast
 </li>
 <li>
 Interest in or experience with biotech / techbio and its impact on patient outcomes
 
 
 
 
 </li>
 </ul>
 Working at Healx
 
 
 Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that considers your individual needs and believes in maintaining a sustainable work-life balance and we are open to discussing flexible working arrangements.
 
 
 We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming.
 
 
 You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise, happy to help you develop your own skills in a highly collaborative environment and who are keen to provide guidance and support in your personal and career development plans.
 
 
 Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance. If you require any reasonable adjustments during the recruitment process, please let us know &mdash; we&rsquo;re happy to accommodate.
 
 
 What&rsquo;s on offer:
 
 
 
 Financial
 
 - Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary.
 
 
 
 Health and Wellbeing
 
 - Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work-life balance, wellbeing support via Spill and our Employee Assistance Programme.
 
 
 
 Hybrid Working
 
 - We will only consider UK-based applicants for this position. We offer flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration.
 
 
 
 Family Friendly
 
 - Enhanced family leave policies, miscarriage and fertility leave, flexible working practices.
 
 
 
 Personal Development and Growth
 
 - Personal learning and development budgets, regular personal development conversations and career support.
 
 
 
 Community Engagement and Support
 
 - One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases.
 
 
 For more information about Healx and how we use your data please go to https://healx.ai/privacy/
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Agentic AI Engineer (life sciences)

<div><div>Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients?</div>
<div></div>
<div><h2 class="jobSectionHeader">About Healx</h2>

Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery.

Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life.

Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box &ndash; we still want to hear from you and encourage you to apply!
<h2 class="jobSectionHeader">
Our values</h2>
<ul>
<li>Care for Rare &ndash; Rare disease patients are at the heart of what we do
</li>
<li>Grow as individuals &ndash; We are learners always seeking to enhance our expertise
</li>
<li>Win as a team &ndash; We strive to remain inclusive and diverse and we celebrate successes and lessons together
</li>
<li>Innovate and deliver &ndash; Our mission requires rapid innovation and calculated risks that won&rsquo;t compromise our high standards
</li>
</ul><h2 class="jobSectionHeader">The role</h2>
<div>
Healx is looking for an Agentic AI Engineer to build LLM-agentic workflows that power our drug discovery platform.</div><div> 
Reporting to our Director of Tech Strategy, you'll design and build agents that solve real drug discovery problems. Working closely with scientists across the company, you'll understand the questions that matter most to their work, then design and refine agents that reason over our knowledge graph, proprietary methods, the scientific literature and other sources to generate, triage and rationalise testable therapeutic hypotheses for rare diseases.</div><div> 
You won't be starting from scratch. We've adopted an agentic framework (our stack currently includes Python, ADK and AgentSpace) and built workflows already delivering impact across our drug discovery platform. But this is a fast-moving field, so a big part of the role is helping us adapt as the landscape shifts. You'll work alongside the technical lead who owns our agentic infrastructure, with scope to take ownership of specific workflows and grow your influence as you do.</div><div> 
You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery.</div>
</div>
<h3 class="jobSectionHeader">Key responsibilities</h3><div>
<ul>
<li>Build and refine AI-agentic workflows on our internal framework to help drug discovery scientists generate the best testable therapeutic hypotheses to progress.
</li>
<li><div>Translate discovery problems into agent designs, working out where an agentic approach genuinely adds value, and where it doesn&rsquo;t</div>
</li>
<li><div>Integrate agents with our knowledge graph, proprietary methods, scientific literature and other sources so they reason over the right evidence for each problem</div>
</li>
<li><div>Expand and maintain our existing genAI tools so they keep pace with the team&rsquo;s needs and a fast-moving ecosystem</div>
</li>
<li>Contribute to how we evaluate agentic workflows, helping shape sensible evals, testing and quality standards as the practice matures</li>
<li>Write clear, maintainable, well-documented code that others on the team can build on</li>
</ul></div><h3 class="jobSectionHeader">What success looks like</h3><div>
In 3 months, you have:</div>
<ul>
<li>Got to grips with our agentic framework and the discovery problems it serves, and made your first contributions land in the codebase
</li>
<li>Built working relationships with the scientists and engineers you partner with, and started turning their feedback into concrete improvements
</li>
</ul>In 6 months you have:<div> 
</div>
<ul><li>Taken at least one agentic workflow from idea to a production tool scientists use in our drug discovery pipeline - built on our framework, with sensible evaluation and documentation.</li>
<li>Operating with real independence - owning agentic workflows ent to end, proposing improvements</li>
</ul><h3 class="jobSectionHeader">What we are looking for</h3><div>
<div>
We'd love to hear from you if your experience and interests overlap with much of this profile (and we don't expect every box ticked - if you've built things you're proud of and you're excited about what Healx does, get in touch):</div>
<ul>
<li>You've built and shipped LLM-agentic systems that deliver real value &mdash; agents that use tools, orchestrate multi-step workflows and behave reliably in production. We care more about what you've built than how long you've been at it.
</li>
<li><div>Strong software engineering fundamentals &mdash; you write clear, tested, maintainable code that others can build on</div>
</li>
<li><div>Fluency with the modern LLM/agent toolkit &mdash; model APIs, prompting, tool use, RAG, and the patterns this fast-moving ecosystem is converging on (MCP, agent frameworks, evals).</div>
</li>
<li>A pragmatic sense of where an agentic approach genuinely helps and where it doesn't, and you enjoy working closely with non-engineers &mdash; the kind of person who'll sit with a scientist to understand what they actually need.
</li>
</ul>It&rsquo;s a bonus if you have:
<ul>
<li>Experience in drug discovery, biology, or another life scientific domain &mdash; or simply a real appetite to learn one
</li>
<li><div>Familiarity with knowledge graphs or reasoning over structured or heterogeneous data</div>
</li>
<li><div>Experience building evaluation harnesses or testing strategies for LLM systems</div>
</li>
<li><div>A track record of picking up unfamiliar domains quickly and becoming useful fast</div>
</li>
<li>Interest in or experience with biotech / techbio and its impact on patient outcomes</li>
</ul></div><div><h2 class="jobSectionHeader">Working at Healx</h2>
<div>
Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that considers your individual needs and believes in maintaining a sustainable work-life balance and we are open to discussing flexible working arrangements.</div>
<div>
We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming.</div>
<div>
You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise, happy to help you develop your own skills in a highly collaborative environment and who are keen to provide guidance and support in your personal and career development plans.</div>
<div>
Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance. If you require any reasonable adjustments during the recruitment process, please let us know &mdash; we&rsquo;re happy to accommodate.</div>
<h3 class="jobSectionHeader">
What&rsquo;s on offer:</h3>

Financial &ndash; Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary.

Health and Wellbeing &ndash; Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work-life balance, wellbeing support via Spill and our Employee Assistance Programme.

Hybrid Working &ndash; We will only consider UK-based applicants for this position. We offer flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration.

Family Friendly &ndash; Enhanced family leave policies, miscarriage and fertility leave, flexible working practices.

Personal Development and Growth &ndash; Personal learning and development budgets, regular personal development conversations and career support.

Community Engagement and Support &ndash; One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases.

For more information about Healx and how we use your data please go to https://healx.ai/privacy/
</div>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

CuspAI

<div>
 
 About CuspAI
 
 
 
 CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
 
 
 We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.
 
 
 We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.
 
 
 
 We&rsquo;re on the cusp of the on-demand materials era. Join us.
 
 
 
 
 The Role
 
 
 
 Due to rapid growth in our core AI capabilities, we are seeking an experienced Applied AI/ML Engineer (Agents) to design and build the intelligent agents that power our autonomous materials discovery engine.
 
 
 
 Your Impact
 
 
 
 You will be instrumental in developing the "artificial brain" of our agentic materials discovery engine. This is responsible for
 
 orchestrating complex, closed-loop scientific workflows, autonomously making decisions, running simulations
 
 ,
 
 and driving experimental campaigns
 
 to find breakthrough materials faster than ever before.
 
 
 Your work will directly accelerate CuspAI&rsquo;s path to finding solutions for global sustainability challenges.
 
 
 
 What You Will Do
 
 
 
 
 Agentic systems
 
 
 
 <ul>
 <li>
 Design the agentic framework that powers our platform to discover new materials. This includes spanning dynamic, multi-stage simulation workflows from literature-grounded hypothesis generation through to computational and experimental validation
 </li>
 <li>
 Build the integration that connects agents to ML models, simulation engines, databases, and heterogeneous compute backends
 </li>
 <li>
 Design pipelines that let agents autonomously plan, schedule, execute, and interpret computational tasks at scale and over long periods of time
 </li>
 <li>
 Use expert annotations from the Chemistry team to drive targeted improvements in agent planning, retrieval, and decision-making
 </li>
 <li>
 Create evaluations to measure the effectiveness of agents
 
 
 </li>
 </ul>
 
 Experimental design
 
 
 
 <ul>
 <li>
 Build agents that perform experimental design &mdash; applying Bayesian optimization, active learning, or related sequential decision-making methods to decide what to compute or measure next, and to balance exploration and exploitation across long-running discovery campaigns
 </li>
 <li>
 Help close the loop between simulation and physical experiments so that outcomes become durable knowledge &mdash; feeding back into what agents know and how their models reason &mdash; compounding across campaigns.
 </li>
 <li>
 Develop strategies for multi-fidelity and multi-objective decision-making, where agents must trade off cost, time, and uncertainty across simulations and physical experiments
 
 
 </li>
 </ul>
 
 Interdisciplinary Collaboration
 
 
 
 <ul>
 <li>
 Work closely with Chemists, Materials Scientists, and the rest of the Agent team to co-develop our core orchestration intelligence
 </li>
 <li>
 Work on customer projects and implement the direct needs required for these projects
 
 
 </li>
 </ul>
 
 Must Have Skills and Qualifications:
 
 
 
 <ul>
 <li>
 You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that CuspAI is building.
 </li>
 <li>
 Proficiency in the modern ML ecosystem such as PyTorch or JAX, with experience taking ML-driven systems from prototype to production
 </li>
 <li>
 Strong software engineering skills (building systems at scale in a production environment): testing, modular design, CI/CD, and scalable ML operations in production environments
 </li>
 <li>
 If you have a PhD or Masters degree and 4-5 yrs industry experience this would be ideal, but we will also consider you if you have a PhD and slightly less experience in industry
 </li>
 <li>
 You have a proactive builder mentality with a bias toward shipping and iteration
 </li>
 <li>
 Willingness to learn about materials science, and in particular experimental chemistry - to learn the vocabulary of the discipline to meaningfully interact with other stakeholders
 </li>
 <li>
 Experienced in LLM-assisted programming, knowing its strengths and weaknesses thoroughly.
 
 
 </li>
 </ul>
 
 Bonus Points (But Not Critical):
 
 
 
 <ul>
 <li>
 Experience applying ML models specifically for materials science, chemistry, or drug discovery applications
 </li>
 <li>
 Experience with agentic frameworks and building LLM-powered applications
 </li>
 <li>
 Experience with sequential decision-making methods &mdash; Bayesian optimization, active learning, bandits, or reinforcement learning &mdash; applied to real-world systems
 </li>
 <li>
 Advanced agentic-reasoning techniques: planning models, self-improving systems, multi-tool agents, or RLHF/RLAIF workflows
 
 
 </li>
 </ul>
 
 Additional Considerations
 
 
 
 This role could be based in our
 
 Cambridge, London, Amsterdam or Berlin offices
 
 , with the expectation of being
 
 in the office three days per week
 
 . Additionally, there may be regular travel required to our other offices for collaboration and project oversight.
 
 
 Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
 
 
 
 What we offer
 
 
 
 <ul>
 <li>
 A competitive salary: We value and reward impact and growth
 </li>
 <li>
 Equity in CuspAI: You have a stake in the success of the company
 </li>
 <li>
 Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
 </li>
 <li>
 &lsquo;Gold Standard&rsquo; parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together
 </li>
 <li>
 Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
 </li>
 <li>
 Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques
 </li>
 <li>
 True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other
 
 
 </li>
 </ul>
 
 Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
 
 
 
 
 CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace
 
 . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.
 
 
 
 We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.
 
 
 
 
 Please let us know If you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
 
 
 
</div>

Applied AI/ML Engineer (Agents/RL)

CommonAI CIC

<div>
 CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.
 
 
 We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems.
 
 
 
 The Opportunity
 
 
 
 We're seeking a highly skilled foundation model engineer who has experience of building, training, evaluating, and deploying LLMs or multimodal models end-to-end.
 
 
 We are currently building an AI lab with multiple GPU clusters for testing new hardware and software technologies to accelerate machine learning and inference. This exciting role will primarily focus on model development, data pipelines and system performance. You'll work across the full AI lifecycle, from experimentation to scalable deployment, with a strong emphasis on technical depth and rigour.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and implement end-to-end LLM training pipelines
 </li>
 <li>
 Source and, where appropriate, preprocess datasets for training and evaluation
 </li>
 <li>
 Fine-tune and optimise open weight models (LLMs, vision, or traditional ML)
 </li>
 <li>
 Build evaluation frameworks and define performance metrics
 </li>
 <li>
 Develop and maintain data pipelines and training workflows
 </li>
 <li>
 Analyse training pipelines and optimise them for latency, cost, and scalability
 </li>
 <li>
 Implement monitoring, logging, and feedback loops for continuous improvement
 </li>
 <li>
 Experiment with modern AI tooling and services to investigate how they can be leveraged
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Proven experience training and fine-tuning LLMs or multimodal models (not just using APIs)
 </li>
 <li>
 Solid understanding of:
 </li>
 <li>
 Model evaluation and validation
 </li>
 <li>
 Overfitting, bias/variance tradeoffs
 </li>
 <li>
 Data quality and feature engineering
 </li>
 <li>
 Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow)
 </li>
 <li>
 Experience building and maintaining ML pipelines in production
 </li>
 <li>
 Familiarity with GPU usage and optimisation
 </li>
 <li>
 Ability to debug and improve model performance systematically
 
 
 </li>
 </ul>
 We also value:
 
 
 <ul>
 <li>
 Knowledge of distributed training or large-scale data processing
 </li>
 <li>
 Experience with MLOps tools (CI/CD for ML, experiment tracking, model versioning)
 </li>
 <li>
 Background in applied research or publishing
 </li>
 <li>
 Familiarity with retrieval systems, embeddings, or ranking models
 
 
 </li>
 </ul>
 Ideally you will have a maths or computer science research background with a focus on developing new algorithms or techniques for training and deploying AI models.
 
 
 You may also have been working in industry in a large organisation or start-up with an emphasis on developing and deploying cutting edge machine learning.
 
 
 When applying, please include:
 
 
 <ul>
 <li>
 Links to relevant projects, papers, or GitHub repositories
 </li>
 <li>
 A brief description of a model/system you trained and deployed end-to-end
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 A collaborative and supportive work environment
 </li>
 <li>
 The opportunity to have a high impact in a growing organisation
 </li>
 <li>
 Competitive salary package and pension
 </li>
 <li>
 Professional development opportunities
 </li>
 <li>
 Networking opportunities with influential people from across the tech sector and academia
 </li>
 <li>
 A vibrant office environment located a few minutes' walk away from Cambridge train station
 
 
 </li>
 </ul>
 
 CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.
 
</div>

Foundation Model Engineer

<div>C++ AI/ML Software Engineer
Description -
C++ AI/ML Software Engineer- HP Wolf Security 
 
HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware-enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&amp;D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions. 
 
You will be designing, developing, and optimizing AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection, and intelligent threat prevention. Working as part of a highly collaborative engineering team, you will help bridge the gap between cutting-edge machine learning research and production-grade security software. To see what our engineering teams are working on, visit our technical blogs: https://threatresearch.ext.hp.com/blog . 
 
We're looking for a talented software engineer with a strong background in modern C++ development and experience applying machine learning and AI techniques within commercial software products. This is a fantastic full-time opportunity for a collaborative, hands-on, and experienced developer to join a growing team working at the intersection of cybersecurity, systems software, and artificial intelligence. 
 
We offer a comprehensive benefits package and excellent career development opportunities. 
 
<h2 class="jobSectionHeader">Responsibilities for the C++ AI/ML Software Engineer
</h2><ul><li>Design, develop, and maintain AI/ML-driven features within HP Wolf Security products.
</li><li>Develop high-performance C++ components that integrate machine learning models into endpoint security solutions.
</li><li>Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms.
</li><li>Optimise model inference, performance, scalability, and resource utilisation on endpoint devices.
</li><li>Develop data processing, evaluation, and automation tools using Python.
</li><li>Contribute to the design and implementation of intelligent threat detection, behavioural analysis, and anomaly detection capabilities.
</li><li>Participate in architecture discussions, code reviews, testing, and continuous improvement of engineering practices.
</li>Evaluate emerging AI technologies and contribute to future product innovation. 
<li>
</li></ul> 
<h2 class="jobSectionHeader">Requirements for the C++ AI/ML Software Engineer
</h2><ul><li>Strong proficiency in modern C++ design, development, debugging, testing, and performance optimisation.
</li><li>Experience developing and deploying machine learning or AI-based software solutions.
</li><li>Excellent analytical, problem-solving, and software engineering skills.
</li><li>Experience working with Python for machine learning workflows, automation, or tooling.
</li><li>Understanding of software development lifecycle, testing methodologies, and version control systems.
</li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or equivalent experience. 
<li>
</li></ul> 
<h2 class="jobSectionHeader">A Great C++ AI/ML Software Engineer Will Have Exposure To The Following:
</h2><ul><li>Machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime, or similar.
</li><li>AI model deployment, optimisation, and inference in production environments.
</li><li>Data processing, feature engineering, and model evaluation techniques.
</li><li>Security, cybersecurity, or threat detection applications of AI/ML.
</li><li>Large Language Models (LLMs), Generative AI, or AI-assisted security technologies.
</li><li>High-performance, multi-threaded, or systems-level C++ development.
</li><li>Cloud-based AI/ML services and MLOps practices.
</li>Linux and Windows platform development. 
<li>
</li></ul> 
Location &amp; working model
This role is based in HP&rsquo;s Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. As a people‑focused senior role, regular in‑person collaboration is encouraged.
HP has invested in a new, modern site, including ergonomic workspaces and well stocked kitchen facilities that included a wide selection of coffee. 
About you:
You&rsquo;re out to reimagine and reinvent what&rsquo;s possible- in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what&rsquo;s next. We&rsquo;re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference. 
Why join HP Wolf Security
HP Wolf Security is central to HP&rsquo;s strategy in the PC market, with security designed into hardware, firmware, and software. This integrated approach enables HP to differentiate through built‑in, enterprise‑grade protection and manageability. This role sits at the heart of that strategy, helping deliver the tools that allow customers to deploy, manage, and trust secure PCs at scale. 
The primary focus of the HP Wolf Security team is developing cyber security solutions to protect our customers devices and data. The digital threat landscape is ever-changing and as the cyber security industry reacts and adapts to changes, so too do the malware authors. Our unique micro-virtualization technology ensures that customers are protected from even the most bleeding edge cyber security threats. That micro-virtualization technology forms a key pillar in a wider cyber security suite that we're actively developing. 
Our history:
Inspired by the isolation principles of traditional virtualization, our team known then as Bromium, created a game-changing technology called micro-virtualization to protect end users against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro-VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation, without relying on detection, hence reliably defending the user from polymorphic and even zero-day malware.
Bromium was acquired by HP Inc on 19 September 2019 forming HP Wolf Security.
For more information, visit our website: https://www.hp.com/uk-en/security/endpoint-security-solutions.html 
#LIpost
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United Kingdom)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP&rsquo;s EEO Policy or read about your rights as an applicant under the law here: &ldquo; Know Your Rights: Workplace Discrimination is Illegal &quot;</div>

C++ AI/ML Software Engineer

CommonAI C.I.C.

<div>CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.
We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems.
The Opportunity
We are seeking a Senior Software Engineer with a passion for open-source AI infrastructure to work on deploying, extending and optimising vLLM (and potentially other inference serving engines) to support our projects. You will play a crucial, high-impact role across both our key programmes, the Scaling Inference Lab (https://scalinginference.org) and the High Assurance programme.
As an AI-first company, we strongly believe in collaborative engineering powered by the tools we are helping to build. This role places a major emphasis on using LLMs, AI coding assistants, and autonomous agents for software development.
What You'll Do<ul><li>
Deploy, instrument and monitor open weight models served using vLLM.</li><li>
Implement new features within vLLM to support novel hardware architectures as part of the Scaling Inference Lab.</li><li>
Work with the Panopticon team to identify opportunities to extend vLLM to enhance accuracy, explainability, and accountability when using it to serve models in regulated environments.</li><li>
Actively collaborate with the open-source vLLM community to propose, review, and upstream core changes.</li><li>
Troubleshoot, profile, and optimise inference performance, focusing on latency, throughput, and hardware utilisation.</li></ul> 

Requirements 
<ul><li>
Proven experience working as a Senior Software Engineer with deep expertise in both Python and low-level programming (e.g. C/C++, Rust, assembly or CUDA).</li><li>
A history of direct contributions to vLLM or similar high-performance open-source ML/AI projects (e.g. PyTorch, Hugging Face TGI, TensorRT-LLM, Ray).</li><li>
Strong understanding of LLM inference mechanics (e.g. KV caching, continuous batching, memory management, model quantisation).</li><li>
Experience interacting with, and upstreaming code to, active open-source communities.</li><li>
Hands-on experience working on performance optimisation for hardware accelerators (GPUs, TPUs, CPU vector units or other accelerators).</li><li>
A strong enthusiasm for using LLMs, coding assistants, and agents as core tools in your own software development process.</li></ul>
We also value:<ul><li>
Experience working on software systems that operate in highly regulated or high-assurance environments (e.g. financial services).</li><li>
An understanding of the latest AI safety research and active involvement in that community.</li><li>
Deep knowledge of modern MLOps practices, CI/CD, and large-scale deployments.</li></ul> 

Benefits 
<ul><li>
A collaborative and supportive work environment</li><li>
The opportunity to have a high impact in a growing organisation</li><li>
Competitive salary package and pension</li><li>
Professional development opportunities</li><li>
Networking opportunities with influential people from across the tech sector, financial services, and academia</li><li>
A vibrant office environment located a few minutes' walk away from Cambridge train station</li></ul>
CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.</div>

Senior Software Engineer (vLLM)

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