Alephalpha

<h2>Our Mission</h2>Aleph Alpha is one of the few companies in Europe doing serious foundation model pre-training like our recently released <a target="_blank" rel="noopener noreferrer ugc" href="https://huggingface.co/Aleph-Alpha/Kolibri-1">Kolibri-1 model</a>. Our customers - in finance, manufacturing, public administration - need models that understand German, meet European regulatory requirements, and work reliably in high-stakes settings. We're building that in Heidelberg. <h2>Team Culture</h2>At Aleph Alpha, we foster a culture built on ownership, autonomy, and empowerment. Teams and individual contributors are trusted to take responsibility for their work and drive meaningful impact. We maintain a flat organizational structure with efficient, supportive management that enables quick decision-making, open communication, and a strong sense of shared purpose.We believe a strong engineering culture is the key to model training success. We like Extreme Programming and favor trunk-based development. We often mob-program, which keeps us aligned and means we always learn from each other.<h2></h2><h2>About the Role</h2>As a Senior AI R&amp;D Engineer in Model Training (f/m/d), you will join our model training team in Heidelberg or Berlin. Most of the team is based in Heidelberg. The model training team is building and improving our model training pipeline, which has been used to train Kolibri. <ul><li>You will work across our full stack. Some weeks you might be optimizing how training loads are scheduled on our cluster and making the pipeline more robust and performant so we can iterate faster. Other weeks, you will be enabling large-scale code execution for reinforcement learning. And at other times, you might dig deep into our evaluation codebase to lift inference throughput on evals.</li><li>No two days are the same. Things move fast, and your ability to focus and prioritize is what lets you unblock the team day-to-day while designing the high-quality tooling and infrastructure that speeds us up long-term.</li><li>We're still building out our training pipeline and infrastructure. Some pieces exist, some do not, and you will have real influence on what gets built and how. Your work directly shapes how quickly we can experiment and improve our models.</li><li>Identifying issues and taking initiative is what drives our day-to-day work.</li><li>Working mode, design decisions, priorities are all done in your team together with your team mates. The strongest teams often use highly collaborative techniques, like mob or pair programming.</li><li>Due to the highly collaborative nature of our work you are expected to be on-site at least two days a week. If you are in Berlin, you should expect to travel around every second month for a few days to Heidelberg.</li><li>We are specifically looking to strengthen the Software Engineering in the teams which are research heavy. Major points include improving the maintainability of our code through tests and design &amp; architecture changes.</li></ul><h2>Requirements</h2><ul><li>At its core, you need to be able to dive into a codebase, change the behavior as necessary, and after the change the code should be better tested and easier to understand than before.</li><li>As such we look for candidates for an understanding of how to design for low coupling and high cohesion paired with the ability to incrementally refactor.</li><li>Experience with the following technologies is likely to be helpful:<ul><li>Test Driven Development (TDD)</li><li>Trunk based development</li><li>Continuous integration</li><li>Domain Driven Design</li></ul></li></ul><h2>Nice-to-haves</h2><ul><li>Most of our code is in Python, there is also the occasional Rust codebase.</li><li>Large parts of our training pipeline are built on top of Kubernetes.</li><li>We do not hire for skills in a particular technology or language, but rather ability to learn and mindset, yet experience with these technologies is a plus.</li></ul><h2>What we offer</h2><ul><li>Become part of an AI revolution!</li><li>30 days of paid vacation</li><li>Access to a variety of fitness &amp; wellness offerings via <a target="_blank" rel="noopener noreferrer ugc" href="https://wellhub.com/de-de/">Wellhub</a></li><li>Mental health support through <a target="_blank" rel="noopener noreferrer ugc" href="http://nilo.health/">nilo.health</a></li><li>Substantially subsidized company pension plan for your future security</li><li>Subsidized Germany-wide transportation ticket</li><li>Budget for additional technical equipment</li><li>Flexible working hours for better work-life balance and hybrid working model</li><li><a target="_blank" rel="noopener noreferrer ugc" href="https://www.jobrad.org/">JobRad®</a> Bike Lease</li></ul>

Senior AI R&D Engineer – Model Training (f/m/d)

<h2>Our Mission</h2>Aleph Alpha is one of the few companies in Europe doing serious foundation model pre-training like our recently released <a target="_blank" rel="noopener noreferrer ugc" href="https://huggingface.co/Aleph-Alpha/Kolibri-1">Kolibri-1 model</a>. Our customers - in finance, manufacturing, public administration - need models that understand German, meet European regulatory requirements, and work reliably in high-stakes settings. We're building that in Heidelberg. <h2>Team Culture</h2>At Aleph Alpha, we foster a culture built on ownership, autonomy, and empowerment. Teams and individual contributors are trusted to take responsibility for their work and drive meaningful impact. We maintain a flat organizational structure with efficient, supportive management that enables quick decision-making, open communication, and a strong sense of shared purpose.We believe a strong engineering culture is the key to model training success. We like Extreme Programming and favor trunk-based development. We often mob-program, which keeps us aligned and means we always learn from each other.<h2></h2><h2>About the Role</h2>As an AI R&amp;D Engineer in Model Training (f/m/d), you will join our model training team in Heidelberg or Berlin. Most of the team is based in Heidelberg. The model training team is building and improving our model training pipeline, which has been used to train Kolibri. <ul><li>You will work across our full stack. Some weeks you might be optimizing how training loads are scheduled on our cluster and making the pipeline more robust and performant so we can iterate faster. Other weeks, you will be enabling large-scale code execution for reinforcement learning. And at other times, you might dig deep into our evaluation codebase to lift inference throughput on evals.</li><li>No two days are the same. Things move fast, and your ability to focus and prioritize is what lets you unblock the team day-to-day while designing the high-quality tooling and infrastructure that speeds us up long-term.</li><li>We're still building out our training pipeline and infrastructure. Some pieces exist, some do not, and you will have real influence on what gets built and how. Your work directly shapes how quickly we can experiment and improve our models.</li><li>Identifying issues and taking initiative is what drives our day-to-day work.</li><li>Working mode, design decisions, priorities are all done in your team together with your team mates. The strongest teams often use highly collaborative techniques, like mob or pair programming.</li><li>Due to the highly collaborative nature of our work you are expected to be on-site at least two days a week. If you are in Berlin, you should expect to travel around every second month for a few days to Heidelberg.</li><li>We are specifically looking to strengthen the Software Engineering in the teams which are research heavy. Major points include improving the maintainability of our code through tests and design &amp; architecture changes.</li></ul><h2>Requirements</h2><ul><li>At its core, you need to be able to dive into a codebase, change the behavior as necessary, and after the change the code should be better tested and easier to understand than before.</li><li>As such we look for candidates for an understanding of how to design for low coupling and high cohesion paired with the ability to incrementally refactor.</li><li>Experience with the following technologies is likely to be helpful:<ul><li>Test Driven Development (TDD)</li><li>Trunk based development</li><li>Continuous integration</li><li>Domain Driven Design</li></ul></li></ul><h2>Nice-to-haves</h2><ul><li>Most of our code is in Python, there is also the occasional Rust codebase.</li><li>Large parts of our training pipeline are built on top of Kubernetes.</li><li>We do not hire for skills in a particular technology or language, but rather ability to learn and mindset, yet experience with these technologies is a plus.</li></ul><h2>What we offer</h2><ul><li>Become part of an AI revolution!</li><li>30 days of paid vacation</li><li>Access to a variety of fitness &amp; wellness offerings via <a target="_blank" rel="noopener noreferrer ugc" href="https://wellhub.com/de-de/">Wellhub</a></li><li>Mental health support through <a target="_blank" rel="noopener noreferrer ugc" href="http://nilo.health/">nilo.health</a></li><li>Substantially subsidized company pension plan for your future security</li><li>Subsidized Germany-wide transportation ticket</li><li>Budget for additional technical equipment</li><li>Flexible working hours for better work-life balance and hybrid working model</li><li><a target="_blank" rel="noopener noreferrer ugc" href="https://www.jobrad.org/">JobRad®</a> Bike Lease</li></ul>Note: We welcome applicants at every stage of their career. Your drive and willingness to learn are far more important to us than strict experience requirements.

AI R&D Engineer – Model Training (f/m/d)

<h2>Our Mission</h2>Aleph Alpha is one of the few companies in Europe doing serious foundation model pre-training like our recently released <a target="_blank" rel="noopener noreferrer ugc" href="https://huggingface.co/Aleph-Alpha/Kolibri-1">Kolibri-1 model</a>. Our customers - in finance, manufacturing, public administration - need models that understand German, meet European regulatory requirements, and work reliably in high-stakes settings. We're building that in Heidelberg.<div> </div>We are hiring a Senior Performance Engineer to grow our pre-training efficiency team. If you are excited about making models fast and scaling them to thousands of GPUs, this is the role for you! Team CultureAt Aleph Alpha, we foster a culture built on ownership, autonomy, and empowerment. Teams and individual contributors are trusted to take responsibility for their work and drive meaningful impact. We maintain a flat organizational structure with efficient, supportive management that enables quick decision‑making, open communication, and a strong sense of shared purpose.<h2>About the role:</h2>You will engineer the systems required to train foundation models at scale. Your objective is to maximize hardware utilization and training throughput on our large-scale GPU clusters (thousands of NVIDIA Blackwell GPUs). You will work at the intersection of deep learning frameworks, distributed systems, and GPU microarchitecture, eliminating bottlenecks from the Python layer down to the GPU kernel.This role is for Aleph Alpha Research GmbH.Your responsibilities:<ul><li>End-to-End Optimization: Profile training loops using PyTorch Profiler, Nsight Systems and Nsight Compute to identify system- and kernel-level bottlenecks in order to maximize model throughput.</li><li>Distributed Strategy and Topology: Configure and tune composite parallelism strategies (e.g. TP, DP, HSDP/FSDP, EP), optimizing load balance, minimizing critical-path bottlenecks, and managing communication-to-computation trade-offs for large-scale LLM training.</li><li>Hardware-Aware Modeling: Partner with AI Researchers to define model architectures for hardware efficiency without compromising convergence. </li></ul><h2>Your Profile</h2>Basic Qualifications<ul><li>Are proficient in Python and the PyTorch library.</li><li>Have a strong engineering background in parallel and/or distributed systems with proven track record of excellence.</li><li>Have hands-on experience with modern machine learning techniques (especially large language models and their life cycle).</li><li>Deeply understand the CUDA programming model.</li><li>Have experience in distributed programming with APIs like NCCL or MPI.</li><li>Have experience analysing profiling traces with tools such as PyTorch Profiler and Nvidia Nsight.</li><li>Please note this role requires regular on-site collaboration in Heidelberg as a member of the Training Efficiency Team.</li></ul>Preferred Qualifications<ul><li>Contributions to modern distributed training frameworks (e.g., TorchTitan, Megatron-LM, DeepSpeed).</li><li>Familiarity with low-precision training formats (MXFP4, MXFP8) and their impact on numerical stability and throughput.</li><li>A deep understanding of NCCL communication primitives, NVSHMEM or CUDA IPC and their performance.</li><li>A proven track record of implementing and optimising modern transformer-based model training.</li><li>A proven track record working on the NVIDIA Blackwell architecture. </li></ul><h2>Compensation and Benefits</h2><ul><li>Become part of an AI revolution!</li><li>30 days of paid vacation</li><li>Access to a variety of fitness &amp; wellness offerings via <a target="_blank" rel="noopener noreferrer ugc" href="https://wellhub.com/de-de/">Wellhub</a></li><li>Mental health support through <a target="_blank" rel="noopener noreferrer ugc" href="http://nilo.health">nilo.health</a></li><li>Substantially subsidized company pension plan for your future security</li><li>Subsidized Germany-wide transportation ticket</li><li>Budget for additional technical equipment</li><li>Flexible working hours for better work-life balance and hybrid working model</li><li><a target="_blank" rel="noopener noreferrer ugc" href="https://www.jobrad.org/">JobRad®</a> Bike Lease</li></ul><div></div><h2></h2>

Senior AI R&D Engineer - Performance - Pre-training (f/m/d)

Who we areAleph Alpha’s mission is to deliver sovereign, human-centric AI to governmental institutions and large enterprises. To that end, we deliver category-defining AI innovation that enables open, accessible, and trustworthy deployment of GenAI in industrial applications. Our organization develops foundational models and next-generation methods that make it easy and affordable for Aleph Alpha’s customers to increase productivity in development, engineering, logistics, and manufacturing processes. <h2>About the role</h2>We are looking for a (Senior) AI Researcher to join our hallucination reduction capability team to push the boundaries in LLM post-training (SFT and RL).We're one of the few places in Europe training foundation models from scratch. You will be part of a team of (senior) researchers and PhD interns doing cutting-edge research across pre-, mid- and post-training, grounding and specialized models with hundreds of GPUs at our disposal. <h2>What will you do</h2><ul><li>Core Research &amp; Development: Design, execute, and scale post-training methodologies (SFT, RL) specifically aimed at eliminating model hallucinations and making them grounded in evidence.</li><li>Uncertainty &amp; Reliability: Research and implement techniques in uncertainty estimation, calibration, self-consistency, and self-correction mechanisms to enable models to identify and signal when they “don't know”.</li><li>Post-Training Pipelines: Build and optimize high-throughput, distributed fine-tuning and training pipelines across multi-node GPU clusters.</li><li>Evaluation &amp; Benchmarking: Design and implement rigorous evaluation methods to benchmark hallucination rates, truthfulness, and reasoning accuracy.</li><li>Technical Ownership: Drive research projects independently from initial hypothesis to scalable production implementation and technical reports.</li></ul><h2>Qualifications</h2><ul><li>Hands-on experience fine-tuning or post-training LLMs using modern distributed training frameworks.</li><li>Track record of research or implementation in at least one of the following domains:<ul><li>Hallucination mitigation / truthfulness alignment / grounding in RAG</li><li>Uncertainty estimation, or out-of-distribution detection</li><li>Retrieval-Augmented Generation evaluation / alignment, refusal behavior calibration, or claim verification</li></ul></li><li>Strong programming skills (Python &amp; PyTorch).</li></ul><h2>Compensation and Benefits</h2><ul><li>Become part of an AI revolution!</li><li>30 days of paid vacation</li><li>Access to a variety of fitness &amp; wellness offerings via <a target="_blank" rel="noopener noreferrer ugc" href="https://wellhub.com/de-de/">Wellhub</a></li><li>Mental health support through <a target="_blank" rel="noopener noreferrer ugc" href="http://nilo.health">nilo.health</a></li><li>Substantially subsidized company pension plan for your future security</li><li>Subsidized Germany-wide transportation ticket</li><li>Budget for additional technical equipment</li><li>Flexible working hours for better work-life balance and hybrid working model</li><li><a target="_blank" rel="noopener noreferrer ugc" href="https://www.jobrad.org/">JobRad®</a> Bike Lease</li></ul>

Alephalpha

Open jobs at Alephalpha

Senior AI R&D Engineer – Model Training (f/m/d)

AI R&D Engineer – Model Training (f/m/d)

Senior AI R&D Engineer - Performance - Pre-training (f/m/d)

Senior AI Researcher: LLM post-training for hallucination reduction (f/m/d)

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