Physicsx

<div><h2>About us</h2>
<div><strong>Re-architecting Engineering for the Age of Intelligence<br /></strong><br />PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace &amp; defence, automotive, semiconductors, materials, and energy &amp; renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.</div></div><h2>The Mission</h2>
<p>We’re looking for an enthusiastic and opinionated <strong>Senior AI Engineer</strong> to define how AI agents transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the foundations that power next-generation simulation and design tools used by industry-leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges.</p>
<p>Your mission is to architect the <strong>Agentic stack</strong> within this wider ecosystem. You will build a production-grade platform that enables our Product teams, FDEs, and customers to compose advanced AI workflows safely, transparently, and reliably.</p>
<ul>
<li>You will set the strategic direction for our platform's critical infrastructure and lead key implementation efforts.</li>
<li>You are someone with the scar tissue of running agents in production.</li>
<li>You have strong, reasoned opinions on emerging open standards (such as MCP, A2A, and ACP) and deep expertise in complex architectural patterns like durable execution and agent memory.</li>
<li>You are passionate about building a world-class developer experience that transforms complex research into robust, deployed engineering solutions.</li>
</ul>
<h2>Core Responsibilities</h2>
<p>You will serve as the principal architect for our Agentic ecosystem, responsible for the high-level design choices that define how agents run at PhysicsX. You will cover topics such as:</p>
<ul>
<li><strong>Agent Observability:</strong> Own the implementation to enforce deep tracing, granular cost tracking, and observability across the lifecycle.</li>
<li><strong>Agent Deployment:</strong> Deliver an intuitive deployment lifecycle which simplifies questions around auth, discoverability and resource requirements.</li>
<li><strong>Agent Sandboxing:</strong> Architect secure environments to isolate and allow agents to operate safely.</li>
<li><strong>Agent Evals:</strong> Implement a stack that empowers domain experts to efficiently annotate traces, turning qualitative feedback into quantitative, reproducible evaluation datasets.</li>
<li><strong>Agent Governance:</strong> Implement robust identity and access patterns to ensure agents can safely and correctly act on behalf of users in a regulated enterprise environment.</li>
</ul>
<h2>The Tech Stack</h2>
<ul>
<li><strong>Core Platform:</strong> Python (Primary), Go or TypeScript (Secondary), Kubernetes, Docker, Terraform.</li>
<li><strong>Agentic Infrastructure:</strong> LangGraph/LangChain, Temporal (Durable Execution), Vector DBs (Pinecone/Weaviate).</li>
<li><strong>Observability &amp; Evals:</strong> OTel, LangSmith, Arize, Braintrust.</li>
</ul>
<h2>Who You Are</h2>
<ul>
<li><strong>An Architect at Heart:</strong> You have strong, reasoned opinions on <em>Durable Execution vs. Standard Async</em>, <em>Vector Search vs. Keyword Search</em>, and <em>Prompt Management strategies</em>.</li>
<li><strong>Platform-First:</strong> You care deeply about the Developer Experience (DevEx) of the Customers, FDEs consuming your platform. You build tools that make the "right way" the "easy way."</li>
<li><strong>Security-Minded:</strong> You understand the risks of allowing LLMs to execute code and access data, and you know how to mitigate them via rigid sandboxing and permissioning.</li>
</ul>
<h2>Qualifications</h2>
<ul>
<li><strong>Platform &amp; Backend Foundations:</strong>
<ul>
<li>4+ years of experience in Platform Engineering, Backend, or SRE.</li>
<li>Strong proficiency in Python/Go, Kubernetes, Docker, and IaC (Terraform).</li>
</ul>
</li>
<li><strong>Agentic &amp; AI Engineering:</strong>
<ul>
<li>Production experience designing <strong>Agentic architectures</strong> (chains, tools, memory).</li>
<li>Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution.</li>
<li>Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking.</li>
</ul>
</li>
</ul>
<h2>Bonus Points</h2>
<ul>
<li>Background in Engineering workflows or simulation platforms.</li>
<li>Experience building internal developer platforms (IDPs).</li>
</ul>
<p><strong>What we offer</strong></p>
<p><strong>Build what actually matters</strong></p>
<p>Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.</p>
<p><strong>Learn alongside exceptional people</strong></p>
<p>Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.</p>
<p><strong>Influence over hierarchy</strong></p>
<p>We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.</p>
<p><strong>Sustainable pace, long-term ambition</strong></p>
<p>Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.</p>
<p><strong>And it doesn’t stop there …</strong></p>
<p>🚀 <strong>Equity options</strong> - share meaningfully in the company you’re helping to build.</p>
<p>🏦 <strong>10% employer pension contribution</strong> - because investing in future matters.</p>
<p>🍽️ <strong>Free office lunches</strong> - to keep you energised and focused.</p>
<p>👶 <strong>Enhanced parental leave</strong> - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.</p>
<p>🍼 <strong>YellowNest nursery scheme</strong> - to help working parents manage childcare costs.</p>
<p><strong>☀️ 25 days of Annual Leave (+ Public Holidays)</strong><span> </span>- because taking time to rest matters.</p>
<p>🏥 <strong>Private medical insurance</strong> - 100% employee cover, giving you complete peace of mind.</p>
<p>💪 <strong>Wellhub Subscription</strong><span> </span>- gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.</p>
<p>👀 <strong>Eye tests</strong> - because good work depends on good health.</p>
<p>📈 <strong>Personal development</strong> - dedicated support for learning, development, and leveling up over time.</p>
<p>💛 <strong>Employee Assistance Programme (EAP)</strong> - confidential wellbeing support, available whenever you need it.</p>
<p>🚲 <strong>Bike2Work scheme and</strong><span> </span>🚆 <strong>Season ticket loan</strong> - to make getting to work easier and greener.</p>
<p>🚗 <strong>Octopus EV salary sacrifice</strong> - for a simpler, more sustainable way to drive electric.</p>
<p><em>🔎 Watch this space, we’re continuing to build this as we grow…</em></p><div><div> </div>
<div>We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. </div>
<div> </div>
<div>We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. </div>
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Senior AI / Agentic Engineer

<div><h2>About us</h2>
<div><strong>Re-architecting Engineering for the Age of Intelligence<br /></strong><br />PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace &amp; defence, automotive, semiconductors, materials, and energy &amp; renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.</div></div><h3><strong>Who We're Looking For</strong></h3>
<div>As a Data Scientist in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, and you excel at working directly with customers (and often side-by-side with them on-site) to transform cutting edge AI models into tools that are useful and used.</div>
<div> </div>
<div>You’ve worked on difficult problems that require strong foundations in data driven modelling and deep learning techniques, with hands-on experience in probabilistic methods and predictive modelling. Expertise in python, along with proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with the ability to deploy scalable, production-ready models and data pipelines.</div>
<div> </div>
<div>With at least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment, you’re ready to hit the ground running. You’re truly excited about growing your technical expertise and are naturally inclined to take ownership of data science work streams, continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.</div>
<div> </div>
<div><strong>Note:</strong> <em>This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR).  Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.</em></div>
<h3><strong>This Role</strong></h3>
<div>In this role, you’ll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving.</div>
<div>You’ll build the foundations for successful, impactful solutions by:</div>
<div> </div>
<div>
<ul>
<li>Pre-processing and analyzing data to prepare it for use in predictive modelling, building the foundation for machine learning algorithms to be developed.</li>
<li>Developing and utilizing innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behaviour of physical systems.</li>
<li>Taking full responsibility for the quality, accuracy and impact of your work.</li>
<li>Designing, building and testing data pipelines that are reliable, scalable and easily deployable in production environments.</li>
<li>Working closely with simulation engineers to ensure seamless integration of data science models with simulations.</li>
<li>Contributing to internal R&amp;D and product development, helping to refine models and identify new areas of application.</li>
<li>Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers.</li>
</ul>
</div>
<div>You'll also have the opportunity to travel to customer sites in North America, Europe, Asia, Oceania, <strong>for an average of 3-4 weeks per quarter</strong>, where you'll collaborate closely with customers to build solutions on-site.</div>
<div> </div>
<div>As the role evolves, there are exciting opportunities for growth as an individual contributor or a technical lead, especially if you’re driven by taking ownership of more complex projects and leading the direction of future solutions.</div>
<div><em>Please note, this role is based in Manhattan, NYC, working 2-3 days per week in our office.</em></div>
<div> </div>
<h4><strong>Our delivery teams drive innovation to turn AI models into practical solutions - <a href="https://www.physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-world" target="_blank" rel="noopener noreferrer ugc">read our blog to learn more about how you’ll contribute to this exciting journey!</a></strong></h4>
<div>
<p><span><strong>What we offer</strong></span></p>
<p><strong>Build what actually matters</strong></p>
<p>Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.</p>
<p><strong>Learn alongside exceptional people</strong></p>
<p>Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.</p>
<p><strong>Influence over hierarchy</strong></p>
<p>We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.</p>
<p><strong>Sustainable pace, long-term ambition</strong></p>
<p>Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.</p>
<p><strong>And it doesn’t stop there …</strong></p>
<p>🚀 <strong>Equity options</strong> - share meaningfully in the company you’re helping to build.</p>
<p>💰 <strong>5% contribution to</strong><span> </span><strong>401(k)</strong><span> </span>- build long-term security with a strong retirement plan.</p>
<p>🍽️ <strong>Free team lunch 1x/week</strong><span> </span>- good food, great company, and space to connect.</p>
<p>🏥 <strong>Private health insurance</strong> – comprehensive cover for you, offering total peace of mind.</p>
<p>👶 <strong>Enhanced parental leave</strong> – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.</p>
<p><strong>☀️ 20 days of Annual Leave (+ Public Holidays)</strong><span> </span>- because taking time to rest matters.</p>
<p>📈 <strong>Personal development</strong> – dedicated support for learning, development, and leveling up over time.</p>
<p>💪 <strong>Gympass / Wellhub (subsidized)</strong> – for you and up to 3 family members, supporting both physical and mental wellbeing.</p>
<p>💳 <strong>Flexible Spending Account (FSA)</strong> – set aside pre-tax dollars for eligible healthcare expenses.</p>
<p><em>🔎 Watch this space, we’re continuing to build this as we grow…</em></p>
</div>
<div>
<div><em>Salary Range </em></div>
<div> </div>
<div><em>$120,000 - 240,000 depending on experience </em><br /><em>Seniority will be assessed throughout our interview process </em></div>
</div><div><div> </div>
<div>We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. </div>
<div> </div>
<div>We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. </div>
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Data Scientist

<div><h2>About us</h2>
<div><strong>Re-architecting Engineering for the Age of Intelligence<br /></strong><br />PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace &amp; defence, automotive, semiconductors, materials, and energy &amp; renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.</div></div><div>
<h3><strong>Who We're Looking For</strong></h3>
<div>
<p>As a Principal Data Scientist (Algorithm Engineer) in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embeds cutting edge AI models into tools that are useful and used.</p>
<p>You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines.</p>
<p>With industry experience (post Masters of PhD) in a commercial, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.</p>
</div>
<h3><strong>This Role</strong></h3>
<div>
<p>In this role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team.</p>
<p>You'll build the foundations for successful, impactful solutions by:</p>
<ul>
<li>Leading pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team.</li>
<li>Architecting and developing innovative deep learning models in combination with state-of-the-art optimisation methods to predict and control the behaviour of physical systems.</li>
<li>Taking full responsibility for the quality, accuracy and impact of your work and the work of your team.</li>
<li>Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments.</li>
<li>Leading cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations.</li>
<li>Driving internal R&amp;D and product development, helping to refine models and identify new areas of application.</li>
<li>Mentoring junior team members and providing technical guidance to help them grow.</li>
<li>Leading open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers.</li>
<li>Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site.</li>
</ul>
<p>As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader.</p>
</div>
<h4><strong>Our delivery teams drive innovation to turn AI models into practical solutions - <a href="https://www.physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-world" target="_blank" rel="noopener noreferrer ugc">read our blog to learn more about how you’ll contribute to this exciting journey!</a></strong></h4>
</div><div><div> </div>
<div>We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. </div>
<div> </div>
<div>We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. </div>
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Principal Data Scientist / Algorithm Engineer

<div><h2>About us</h2>
<div><strong>Re-architecting Engineering for the Age of Intelligence<br /></strong><br />PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace &amp; defence, automotive, semiconductors, materials, and energy &amp; renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.</div></div><h2><strong>Who We're Looking For</strong></h2>
<p>As a Principal Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.</p>
<p>You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&amp;D and project outputs into reusable libraries, tooling and products.</p>
<p>With at least 5 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.</p>
<h2>This Role </h2>
<p>As a Principal MLE, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.</p>
<p>You'll:</p>
<ul>
<li>Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization &amp; control) to customer production environments.</li>
<li>Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.</li>
<li>Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.</li>
<li>Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.</li>
<li>Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure.</li>
<li>Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.</li>
<li>Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX.</li>
</ul>
<p>As a senior member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader.</p>
<p> </p>
<h2><strong>Our delivery teams drive innovation to turn AI models into practical solutions - <a href="https://www.physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-world" rel="noopener noreferrer ugc" target="_blank">read our blog to learn more about how you’ll contribute to this exciting journey!</a></strong><a href="https://www.physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-world" rel="noopener noreferrer ugc" target="_blank"> </a></h2><div><div> </div>
<div>We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. </div>
<div> </div>
<div>We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. </div>
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Principal Machine Learning Engineer

<div><h2>About us</h2>
<div><strong>Re-architecting Engineering for the Age of Intelligence<br /></strong><br />PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace &amp; defence, automotive, semiconductors, materials, and energy &amp; renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.</div></div><p><strong>Note: </strong>We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.</p>
<h2><strong>Who We're Looking For</strong></h2>
<p>As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.<br /><br />You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools. Working at the intersection of data science and software engineering, you translate R&amp;D and project outputs into reusable libraries, tooling and products.<br /><br />With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research environment. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.</p>
<p>We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San Francisco area.</p>
<h2>This Role </h2>
<p>As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.</p>
<div><strong>What you will do </strong></div>
<ul>
<li>Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving</li>
<li>Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable</li>
<li>Explore and manipulate 3D point cloud &amp; mesh data</li>
<li>Own the delivery of technical workstreams</li>
<li>Create analytics environments and resources in the cloud or on premise, spanning data engineering and science</li>
<li>Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success</li>
<li>Work at the intersection of data science and software engineering to translate the results of our R&amp;D and projects into re-usable libraries, tooling and products</li>
<li>Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption</li>
</ul>
<div>You'll also have the opportunity to travel to customer sites in North America, Europe, Asia, Oceania, for an <strong>average of 3-4 weeks per quarter</strong>, where you'll collaborate closely with customers to build solutions on-site.</div>
<div> </div>
<div><strong>What you bring to the table</strong></div>
<ul>
<li>Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings.</li>
<li>Experience in ML/Computational statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouraged.</li>
<li>A track record of scoping and delivering projects in a customer facing role</li>
<li>2+ years’ experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps)</li>
<li>Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow)</li>
<li>Distributed computing frameworks (e.g., Spark, Dask)</li>
<li>Cloud platforms (e.g., AWS, Azure, GCP) and HP computing</li>
<li>Containerization and orchestration (Docker, Kubernetes)   </li>
<li>Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly</li>
<li>Excellent collaboration and communication skills - with teams and customers alike</li>
<li>A background in Physics, Engineering, or equivalent</li>
</ul>
<h4><strong>Our delivery teams drive innovation to turn AI models into practical solutions - <a href="https://www.physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-world" rel="noopener noreferrer ugc" target="_blank">read our blog to learn more about how you’ll contribute to this exciting journey!</a></strong><a href="https://www.physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-world" rel="noopener noreferrer ugc" target="_blank"> </a></h4>
<h2><strong>What we offer</strong></h2>
<h3><strong>Build what actually matters</strong></h3>
<p>Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.</p>
<h3><strong>Learn alongside exceptional people</strong></h3>
<p>Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.</p>
<h3><strong>Influence over hierarchy</strong></h3>
<p>We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.</p>
<p><strong>And it doesn’t stop there …</strong></p>
<p>🚀 <strong>Equity options</strong> - share meaningfully in the company you’re helping to build.</p>
<p>💰 <strong>5% contribution to</strong><span> </span><strong>401(k)</strong><span> </span>- build long-term security with a strong retirement plan.</p>
<p>🏥 <strong>Private health insurance</strong> – comprehensive cover for you, offering total peace of mind.</p>
<p>👶 <strong>Enhanced parental leave</strong> – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.</p>
<p><strong>☀️ 20 days of Annual Leave (+ Public Holidays)</strong><span> </span>- because taking time to rest matters.</p>
<p>📈 <strong>Personal development</strong> – dedicated support for learning, development, and leveling up over time.</p>
<p>💪 <strong>Gympass / Wellhub (subsidized)</strong> – for you and up to 3 family members, supporting both physical and mental wellbeing.</p>
<p>💳 <strong>Flexible Spending Account (FSA)</strong> – set aside pre-tax dollars for eligible healthcare expenses.</p>
<p><em>🔎 Watch this space, we’re continuing to build this as we grow…</em></p>
<h2><span>Salary range:</span></h2>
<p>$150,000 - $190,000 depending on experience <br />Seniority will be assessed throughout our interview process </p><div><div> </div>
<div>We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. </div>
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<div>We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. </div>
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