ai research engineer

NuLegal

<div><p><b>Worum es geht</b></p>
<p>
Wir bauen die Infrastruktur, die KI in der Rechtsbranche tats&auml;chlich belastbar macht, nicht als Demo, sondern in Produktion, mit messbarer juristischer Qualit&auml;t. Daf&uuml;r suchen wir Menschen, die tief in die Mathematik und Architektur moderner LLM-Systeme eintauchen wollen, nicht nur APIs verketten.</p>
<p>
Wenn du dich in den letzten zw&ouml;lf Monaten gefragt hast, ob es irgendwo einen Job gibt, in dem du die ganze Tiefe moderner KI gleichzeitig brauchst: hier ist er.</p>
<h2 class="jobSectionHeader"><b>
Aufgaben</b></h2>
<p><b>
Dein Beitrag</b></p>
<ul>
<li>Eine Multi-Provider-LLM-Council-Architektur, in der mehrere Modelle parallel arbeiten und &uuml;ber strittige juristische Fragen abstimmen, mit deterministischem Replay f&uuml;r reproduzierbare Evaluations.</li>
<li>Ein Eval-Framework von Grund auf: stratifizierte Gold-Standard-Datens&auml;tze, Inter-Rater-Reliability gegen menschliche Anw&auml;lte, Backtesting-Pipelines, Confidence-Kalibrierung.</li>
<li>Eine mathematisch belastbare Antwort auf die zentrale Forschungsfrage: Wie quantifiziert man &quot;juristische Belastbarkeit&quot;?</li>
<li>Eigene Forschungsbeitr&auml;ge, Konferenzpaper und Open-Source-Releases sind explizites Projektziel.</li>
<li>Eine produktionsreife Orchestrierungs-Infrastruktur, die t&auml;glich zehntausende Inferenz-Calls &uuml;ber mehrere Modellfamilien koordiniert, mit voller Observability und Fehlertoleranz.</li>
</ul>
<p><b>Warum das spannend ist</b></p>
<ul>
<li>Forschungstiefe wie in einer akademischen Gruppe, mit Produktions-Hebel wie in einem Top-Startup. Die meisten AI-Rollen sind API-Wrapper. Hier baust du die Schicht darunter.</li>
<li>Recht ist eine der gr&ouml;&szlig;ten noch unautomatisierten Branchen. Wer KI in einer traditionellen, hochregulierten Branche zum Laufen bringt, hat ein deutlich schwierigeres Problem als Web-Demos, und einen entsprechend gr&ouml;&szlig;eren Hebel.</li>
<li>Klare Deadlines, klare Deliverables. Ein 24-Monats-Plan mit hartem Meilenstein nach 12 Monaten und konkreten Forschungsoutputs.</li>
<li>Du wirst in 24 Monaten mehr &uuml;ber produktionsreife LLM-Systeme gelernt haben als in f&uuml;nf Jahren bei einem Konzern. Das versprechen wir dir.</li>
</ul><h2 class="jobSectionHeader"><b>Qualifikation</b></h2>
<p><b>
Was du mitbringen solltest</b></p>
<p>
Pflicht</p>
<ul>
<li>Master oder Promotion in Informatik, Mathematik, Physik, Statistik oder einem verwandten quantitativen Fach.</li>
<li>Mehrj&auml;hrige Erfahrung in der Entwicklung produktionsreifer Software, kein reiner Forscher, aber auch kein reiner MLE.</li>
<li>Tiefes Verst&auml;ndnis von Wahrscheinlichkeitsrechnung, Statistik und Kalibrierung. Mathematische Beweisf&uuml;hrung schreckt dich nicht ab.</li>
<li>Tiefe Erfahrung in einem technisch anspruchsvollen Feld, in dem Mathematik, Skalierung und Reliability gleichzeitig z&auml;hlen.</li>
<li>Sicherer Umgang mit modernen LLMs und Agent-Frameworks.</li>
<li>Hohes Tempo und Teamorientierung. Du willst mit anderen ambitionierten Menschen in einem schlanken Team an einem gro&szlig;en Ziel arbeiten, nicht im Konzern-Rhythmus.</li>
</ul>
<p><b>Stark gew&uuml;nscht</b></p>
<ul>
<li>Wissenschaftliche Ver&ouml;ffentlichungen.</li>
<li>Open-Source-Beitr&auml;ge zu KI-Frameworks.</li>
<li>Erfahrung in einer regulierten Dom&auml;ne (z. B. Recht, Medizin, Finanzwesen).</li>
<li>Vertrautheit mit modernen Workflow-Systemen und Uncertainty Quantification.</li>
</ul>
<p>(Das vollst&auml;ndige technische Anforderungsprofil ist auf Anfrage als separates Dokument verf&uuml;gbar.</p>
<h2 class="jobSectionHeader"><b>
Benefits</b></h2>
<p><b>
Was wir bieten</b></p>
<ul>
<li>Flache Herachien und schnelle Entscheidungswege</li>
<li>Echter Impact von Tag 1</li>
<li>Eine Aufgabe, die du in dieser Tiefe nirgendwo sonst bekommst. AI im Recht ist Greenfield.</li>
<li>Wettbewerbsf&auml;higes Gehalt + Equity. Du baust mit auf, du wirst auch beteiligt.</li>
<li>Dediziertes Compute-Budget f&uuml;r deine Forschungs-Workloads.</li>
<li>Direkte Mitsprache an Architektur und Forschungsrichtung. Du sitzt am Tisch, an dem entschieden wird, vom ersten Tag an.</li>
<li>Plus 1 Monat pro Jahr Work from anywhere.</li>
</ul>
<p><b>Bewerbung</b></p>
<p>
Schick uns CV, Links zu relevantem Code oder Ver&ouml;ffentlichungen, und ein konkretes Beispiel eines technischen Problems, das du in den letzten 12 Monaten interessant gefunden hast, und warum.</p>
<p>
Wir antworten auf jede ernsthafte Bewerbung innerhalb von zwei Wochen.</p></div>

AI Research Engineer

Helsing

<div>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
 <br/>
 <br/>
 As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
 <br/>
 <br/>
 We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams &ndash; and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
 <br/>
 <br/>
 <strong>
  The role
  <br/>
  <br/>
 </strong>
 At Helsing, we are pioneering the future of autonomous decision-making for defence. Our work spans the full AI landscape, including high-volume data processing, RL agent training, and large-scale foundation models. As a member of a cross-functional team, you will architect and implement the tools and platforms that enable these breakthroughs. Your focus will be on abstracting complex distributed systems to maximise training throughput and developer velocity. We are looking for engineers who can navigate the convergence of machine learning and systems engineering to build robust, scalable platforms.
 <br/>
 <br/>
 <strong>
  What you will do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Extend our highly integrated deep learning frameworks (built on top of PyTorch), making them efficient and easy to use for a wide range of use cases.
  </li>
  <li>
   Scale our current infrastructure and tooling stack to support faster and larger distributed training.
  </li>
  <li>
   Design data strategy to support large scale datasets and efficient storage, ensuring GPUs stay warm.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You should apply if you:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hold an MSc or PhD in Computer Science or STEM field, with a focus on Machine Learning and Deep Learning.
  </li>
  <li>
   Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX/TensorFlow). You don&rsquo;t just import libraries; you are comfortable writing custom layers, loss functions, and distributed training loops.
  </li>
  <li>
   Are a clear communicator who can build from complex theoretical concepts and contribute to the company's internal engineering culture.
  </li>
  <li>
   Have a "first-principles" mindset: you enjoy reading the latest AI optimisation blog posts and integrating them into codebases rapidly.
  </li>
  <li>
   You have debugged production ML pipelines and can tell a good war story about finding a subtle numerical or performance issue.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Note: We operate at an intersection where women, as well as other minority groups, are systematically
 </em>
 <em>
  under-represented. We encourage you to apply even if you don&rsquo;t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
  <br/>
  <br/>
 </em>
 <strong>
  Nice to have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have hands-on experience training models on large-scale GPU clusters, implementing advanced parallelism strategies, and understanding the underlying cross-node communication patterns (NCCL, MPI).
  </li>
  <li>
   You have worked with large-scale datasets made of different modalities. Understanding the tradeoffs in locality, encoding, formats, and streaming strategies.
  </li>
  <li>
   You are proficient with workload orchestrators like Slurm, Kubernetes, or Ray, having used them to schedule and manage complex, concurrent training jobs at scale.
  </li>
  <li>
   You understand GPU architecture at a low level: memory hierarchies, warp execution, and what makes a GPU suited for training versus inference workloads.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join Helsing and work with world-leading experts in their fields
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Helsing&rsquo;s work is important. You&rsquo;ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
  </li>
  <li>
   The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
  </li>
  <li>
   Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
  </li>
  <li>
   In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
  </li>
  <li>
   We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn&rsquo;t work, and to take ownership of aspects of our culture that you care deeply about.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and VSOP options
  </li>
  <li>
   Relocation support: up to &euro;2,500 and 4 weeks temporary accommodation
  </li>
  <li>
   Learning: &euro;500/&pound;450 yearly allowance
  </li>
  <li>
   Health &amp; wellness: gym membership and mental health support (Nilo.health)
  </li>
  <li>
   Social: regular company events and monthly social allowances
  </li>
  <li>
   Enhanced parental leave: 22 weeks fully paid for primary caregivers &amp; 6 weeks for secondary caregivers
  </li>
  <li>
   Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
  </li>
  <li>
   A hands-on onboarding program (affectionately labelled &ldquo;AI-duction&rdquo;), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day one
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  These are the core benefits across all locations, there may be additional benefits in certain locations.
  <br/>
  <br/>
 </em>
 <em>
  Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
  <br/>
  <br/>
 </em>
 Helsing's Candidate Privacy and Confidentiality Regime can be found here.
 <br/>
 <br/>
</div>


AI Research Engineer - ML Engineering

Version 1

<div><b>Company Description</b><p><br>
Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.</p><p>
 We&rsquo;re an award-winning employer reflecting how our employees are at the very heart of what we do:</p><ul><li>
UK &amp; Ireland's premier AWS, Microsoft &amp; Oracle partner</li><li>
3300+ strong, &euro;350/&pound;300m revenue business</li><li>
10+ years as a Great Place to Work in Ireland &amp; UK</li><li>
Best Workplace for Women in the UK &amp; Ireland by GPTW</li><li>
Best Workplace for Wellbeing in the UK by GPTW</li></ul><p>
We&rsquo;re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it&rsquo;s deeply embedded within our DNA. Invest in us and we&rsquo;ll invest in you!.</p><b><br>
Job Description</b><p><b><br>
About the Role</b></p><p>
We are seeking a Senior AI Product &amp; Research Engineer (Consultant) to help design, prototype, and scale enterprise-grade AI products. This role combines deep technical AI expertise with strong product intuition and hands-on experience leveraging modern AI development tools and coding agents.</p><p>
You will work closely with leadership, engineering, and research teams to translate ambitious AI concepts into deployable, secure, and scalable production systems.</p><p><b>
What You Will Do</b></p><ul><li>
Translate business and research objectives into scalable AI product architectures.</li><li>
Rapidly prototype AI-driven applications using modern AI coding agents and developer copilots.</li><li>
Design and implement enterprise-grade AI systems across model development, evaluation, and deployment.</li><li>
Lead applied research efforts across LLMs, agentic systems, retrieval architectures, and applied ML.</li><li>
Establish evaluation frameworks to measure model quality, safety, robustness, and business impact.</li><li>
Architect production-ready AI applications with strong observability, monitoring, and iteration loops.</li><li>
Advise on AI tooling, vendor selection, infrastructure alignment, and technical roadmap decisions.</li><li>
Mentor internal engineers on modern AI development workflows and best practices.</li></ul><br>
<b>
Qualifications</b><p><b><br>
What We&rsquo;re Looking For</b></p><ul><li>
8 - 12+ years of experience across AI/ML engineering, applied research, or AI product development.</li><li>
Demonstrated experience building and shipping enterprise-grade AI products.</li><li>
Deep familiarity with modern AI stacks (LLMs, RAG systems, fine-tuning, embeddings, orchestration frameworks).</li><li>
Hands-on experience using AI coding agents and AI-assisted development tools in production workflows.</li><li>
Strong product instincts: ability to balance technical feasibility, business value, and user experience.</li><li>
Proficiency in Python and modern AI frameworks.</li></ul><p><b>
Nice to Have</b></p><ul><li>
Experience deploying AI systems in regulated or security-sensitive environments.</li><li>
Familiarity with distributed systems and cloud-native architectures.</li><li>
Background working at leading AI labs, big tech, or high-performance startups.</li><li>
Experience designing internal AI platforms used by multiple teams.</li></ul><br>
<b>
Additional Information</b><p><b><br>
Why Version 1?</b></p><p>
 At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.</p><ul><li>
Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits</li><li>
Strong Career Progression &amp; mentorship coaching through our Strength in Balance &amp; Leadership schemes with a dedicated quarterly Pathways Career Development programme</li><li>
Flexible/remote working, Version 1 is tremendously understanding of life events and people&rsquo;s individual circumstances and offer flexibility to help achieve a healthy work life balance</li><li>
Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme</li><li>
Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies</li><li>
Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat</li><li>
Reward schemes including Version 1&rsquo;s Annual Excellence Awards &amp; &lsquo;Call-Out&rsquo; platform.</li><li>
Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.</li></ul><p>
And many more exciting benefits&hellip; drop us a note to find out more.</p><p>
Version 1 is an equal opportunities employer.</p><p>
We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity.</p><p>
We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact your recruiter at Version 1. We will consider all requests carefully, respectfully and confidentially.</p><p>
Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo</p></div>

Senior AI Product & Research Engineer (Consultant)

DeepMind

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, Physics, Mathematics, Chemistry, Engineering, a related field, or equivalent practical experience.</li>
<li>5 years of experience in machine learning, engineering, and software development using Python.</li>
<li>Experience with data structures or algorithms in an academic or industry setting</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>PhD in a relevant scientific or computational field.</li>
<li>Experience in agentic AI and modern machine learning paradigms (e.g., diffusion, transformers, agentic tools, LLMs).</li>
<li>Knowledge of quantum computing concepts.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.</p><p>
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.</p>
<p>
As a Research Engineer on our Science Team, you will contribute to our Quantum Computing Initiative. This role is an excellent opportunity for a creative and driven engineer who truly burns for the immense possibilities of AI for Science.<br>
<br>
In this role, you will act as the crucial bridge between research and implementation, by seamlessly linking quantum computing research with ML. As an amazing team player, you will collaborate with domain experts in (quantum) computer science, mathematics, computational chemistry, physics, and machine learning.</p><p>
Artificial intelligence will be one of humanity&rsquo;s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.</p><div>
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Deliver on complex research and engineering milestones, assuming end-to-end ownership of implementing and scaling ML solutions (traditional and agentic) at the intersection of quantum computing and machine learning.</li>
<li>Complement the algorithms development pillar by translating classical and quantum algorithms into robust code, balancing implementation time with efficiency, design simplicity, and sustainability.</li>
<li>Facilitate communication between research and engineering by advocating code readability, promoting engineering best practices, and writing effective design documents.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Engineer, Quantum Computing, DeepMind

European Tech Recruit

<div>
 <p>
  <strong>
   Senior Machine Learning Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  European Tech Recruit are working closely with a multinational semiconductor company, based in Amsterdam, who are looking for a talented
  <strong>
   Senior Machine Learning Engineer
  </strong>
  to join their cutting edge future research group
  <strong>
   .
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Senior Machine Learning Engineer for their AI Research, you work directly with ML research teams to implement algorithms, conduct experiments, develop research-oriented software tools, as well as work together with both research and product teams to bring AI models to embedded devices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities as
  <strong>
   Senior Machine Learning Engineer
  </strong>
  :
 </p>
 <ul>
  <li>
   Rapid prototyping, large-scale experimentation and fast iteration, always emphasizing code quality, maintainability, and efficiency.
  </li>
  <li>
   Contribute to comprehensive system design and engineering efforts, facilitating the transition of research prototypes toward commercial deployment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Requirements:
 </p>
 <ul>
  <li>
   PhD or M.S. in computer science, electrical engineering, robotics, or a related field, or a B.S. with several years of employment in related fields.
  </li>
  <li>
   Excellent Python programming skills demonstrated through relevant industry or academic experience.
  </li>
  <li>
   Proven experience with machine learning and frameworks such as PyTorch and hands-on experience with training deep neural networks, generating and evaluating experimental results, and improving training pipelines.
  </li>
  <li>
   Proven experience with embedded computing and/or the Android platform, and a solid understanding of C++.
  </li>
  <li>
   Background in software development, incl. testing, debugging, and test-driven development.
  </li>
  <li>
   Ability to work in a multi-site software organization.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Desirable Experience:
 </p>
 <ul>
  <li>
   Strong software design, development, and debugging skills combined with a solid foundation in AI and general ML techniques.
  </li>
  <li>
   Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics.
  </li>
  <li>
   Experience with optimization of algebraic operations in algorithms for HW cores.
  </li>
  <li>
   Prior experience with ML model optimization frameworks and a familiarity with applying techniques such as quantization, pruning, etc.
  </li>
  <li>
   Familiarity with containerization tools, test frameworks and static analysis tools and ability to work with continuous integration infrastructure.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/).
  </em>
 </p>
</div>


Senior Machine Learning Engineer

University of Liverpool

<b>Hours of work:</b> Full-time.
<br><b>Tenure:</b> Fixed term for 2 years in the first instance.
<br><b>Hybrid Working:</b> Minimum requirement of 40% on Campus, with 60% considered desirable where possible
<br><br>
An exciting opportunity for a Research Software Engineer role is available as part of the project team for AIchemy, a new partnership between the University of Liverpool, Imperial College London, and a large consortium of academic and industrial partners. AIchemy has been funded to promote the development of novel AI methods and to transform the uptake of AI in the chemistry community. The consortium brings together experts across AI and both experimental and computational chemistry. This Hub will promote connectivity of the broader community, training, and networking, as well as funding state-of-the-art research.
<br><br>
Based in the Cooper Group at the University of Liverpool’s Materials Innovation Factory (MIF), you will lead the development of Opsight (opsightlab.com), a cloud-native web platform for agentic, hypothesis-driven scientific optimisation. The platform connects large language model (LLM) reasoning agents, Bayesian optimisation, and robotic laboratory hardware in a closed-loop workflow, enabling autonomous or human-in-the-loop discovery campaigns across chemistry and materials science. Working closely with the team that develops the core optimisation algorithms, you will translate research advances into polished product features, maintain and extend the platform’s infrastructure, and ensure the codebase is well-tested, robust, and deployable.
<br><b>This post is not a research role:</b> you will be the person who keeps the platform running, growing, and robust. The position would suit a software engineer who enjoys working at the interface of cutting-edge AI research and production engineering, and candidates from both academic and industry software engineering backgrounds are encouraged to apply.
<br><br>
Our commitment to Equality, Diversity and Inclusion
<br><br>
We are committed to enhancing a workforce as diverse as our community and particularly encourage applicants who are of minoritised genders and ethnic backgrounds, living with a disability, and/or are members of the LGBTQIA+ community.

Software Engineer: AI Materials Discovery Platform

Bosch

<div><div><div><h2 class="jobSectionHeader"><b>Aufgaben</b></h2><div><div>
As an AI research engineer at Bosch, you will exploit and advance the novel capabilities of cutting-edge Large Language Models (LLMs) towards building multi-agent AI systems that solve and optimize complex engineering problems for software, hardware, and mechatronic systems. You will work towards building robust, safe, efficient, and scalable solutions for a diverse array of Bosch applications.</div><ul><li><b>
Reimagine AI-based engineering:</b> You collaborate closely with domain experts from international corporate research departments and business units to develop novel agent-based approaches towards engineering, addressing Bosch's extensive product and service portfolio.</li><li><b>
Code Quality and Efficiency:</b> As part of your tasks, you write clean, efficient, and well-documented code that supports both research initiatives and the transfer of technology to practical applications.
<br>
Additionally, you will develop best-practices and share them with the team.</li><li><b>
Fuel Multi-agent Systems with Bosch Data and Tools:</b> You will focus on working with Bosch's proprietary data to fine-tune and adapt generic language models, and use them as basis for multi-agent systems that interact with state-of-the-art design, simulation and optimization tools. This includes understanding the data and tools with domain experts, as well as designing and implementing robust data ingestion pipelines for model training and inference.</li><li><b>
Entrepreneurial Ideation: </b>Last but not least, you leverage your entrepreneurial mindset to evaluate, develop, and pitch new ideas that drive innovation within the organization.</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Profil</b></h2><div><ul><li><b>
Education:</b><ul><li>
excellent Master in Computer Science, Data Science, Mathematics, Physics, Computational Linguistics, or related fields</li><li>
PhD in Machine Learning, AI or Computational Linguistics</li><li>
strong publication record on large language models, generative AI and agentic AI in top-tier conferences (NeurIPS, ICLR, ACL, EMNLP, ICML, CVPR, etc.) is a plus</li></ul></li><li><b>
Experience and Knowledge:</b><ul><li><b>
LLMs and Agentic AI:</b><ul><li>
deep knowledge and experience with state-of-the-art LLMs, and their improvement via fine-tuning or advanced RAG mechanisms.</li><li>
experience with agentic AI and building agentic workflows, in particular multi-agent systems (e.g. LangChain, AutoGen, &hellip;)</li><li>
broad experience with modern machine learning methods and tools</li></ul></li><li><b>
AI-based Engineering:</b><ul><li>
strong interest in applying AI to systems engineering tasks such as design-space exploration, requirement analysis, architecture optimization, verification support, or engineering workflow automation</li><li>
interest in combining formal engineering processes with adaptive AI methods</li></ul></li><li><b>
Industrial experience, AI Infrastructure &amp; Experimentation:</b><ul><li>
strong programming skills in Python and experience with modern deep learning frameworks (PyTorch, TensorFlow, JAX or others) in industrial real-world applications</li><li>
familiarity with scalable experimentation, distributed training, and evaluation pipelines</li><li>
experience with Docker, Git, CI/CD, and collaborative software development practices</li><li>
ability to build reproducible research infrastructure for training, benchmarking, and analyzing agentic AI systems</li><li>
experience with cloud platforms (e.g., MS Azure, GCP) for deploying and scaling AI/ML models is a plus</li></ul></li></ul></li><li><b>
Personality and Working Practice:</b> you possess entrepreneurial mindset with the ability to translate advanced research into practical innovation; you are a strong team player, highly self-motivated with conceptual strength and creativity, and drive to bring latest research solutions into products and service</li><li><b>
Enthusiasm:</b> you feel comfortable working in interdisciplinary teams and contributing to collaborative initiatives across Bosch research and development</li><li><b>
Languages:</b> fluent in English, German is a plus</li></ul></div></div></div><div><h2 class="jobSectionHeader"><b>
Wissenswertes zum Job</b></h2><div><div>
https://www.bosch-ai.com
<br>
www.bosch.com/research</div><p>
Please submit all relevant documents (CV, certificates, and links to GitHub or kaggle account).
</p><p>We offer flexible working models: from various part-time options to mobile working and job sharing. Feel free to contact us.</p><p>
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.</p><p>
Work #LikeABosch starts here: Apply now!</p></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Hinweise zur Bewerbung</b></h2><div>
<div>Solange diese Stelle in unserer Jobb&ouml;rse ausgeschrieben ist, suchen wir nach passenden Kandidatinnen und Kandidaten.
</div><p>Aus Datenschutzgr&uuml;nden ist eine Bewerbung nur &uuml;ber unser Bewerbungsportal m&ouml;glich. Bewerbungen per Mail oder Post k&ouml;nnen wir daher leider nicht ber&uuml;cksichtigen.</p></div></div></div></div>
<br><div><h2 class="jobSectionHeader"><b>Willkommen in Renningen</b></h2><div></div><div>
Unser Forschungscampus in Renningen bildet den internationalen Knotenpunkt unserer Bereiche Forschung und Vorausentwicklung, Cross-Domain Computing Solutions und Bosch Center for Artificial Intelligence. Mitarbeiter aus aller Welt arbeiten daran, Antworten auf die Fragen von &Uuml;bermorgen zu finden. Damit sich die Ideen unserer Forscher optimal entfalten k&ouml;nnen, ist der Campus ein Netz der kurzen Wege zwischen Kommunikation und Inspiration, an dem der Kreativit&auml;t keine Grenzen gesetzt sind. Wollen auch Sie die Zukunft gestalten? Wir freuen uns auf Ihre Neugier und Innovationsfreude.</div><div><div>
Mehr zum Standort erfahren</div></div></div><div></div>
<br><div><h2 class="jobSectionHeader"><b>Willkommen bei Bosch</b></h2><div><p>
Bei Bosch gestalten wir Zukunft mit hochwertigen Technologien und Dienstleistungen, die Begeisterung wecken und das Leben der Menschen verbessern. Unser Versprechen an unsere Mitarbeiterinnen und Mitarbeiter steht dabei felsenfest: Wir wachsen gemeinsam, haben Freude an unserer Arbeit und inspirieren uns gegenseitig. Willkommen bei Bosch.</p>
<div>Die Robert Bosch GmbH freut sich auf eine Bewerbung!</div></div></div>
<br><p>Noch Fragen? Wir helfen gerne weiter!
Rund um den Bewerbungsprozess
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Technischer Support
Fragen zum Bewerbungsprozess? Meltem Arabacioglu (Human Resources) steht bereit.
+49 174 1744 961</p>

Research Engineer - Large Language Models for Multi-agent Systems (f/m/div.)

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