{"id":802876,"url":"https://alion.io/job/prosus-senior-machine-learning-engineer-llms","title":"Senior Machine Learning Engineer – LLMs","company":{"id":15163,"name":"Prosus","domain":"prosus.com","url":"https://alion.io/company/prosus","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"C","score":62,"open_postings":11,"ghost_share":0.636,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":79000,"max_usd":153000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Accelerate","optional":false},{"name":"Axolotl","optional":false},{"name":"DeepSpeed","optional":false},{"name":"Fine-tuning","optional":false},{"name":"FSDP","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Megatron-LM","optional":false},{"name":"Model Distillation","optional":false},{"name":"Pre-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Transformers","optional":false},{"name":"Anthropic","optional":true},{"name":"DPO","optional":true},{"name":"GRPO","optional":true},{"name":"Hugging Face","optional":true},{"name":"LLM","optional":true},{"name":"OpenAI","optional":true},{"name":"Post-training","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"RLHF","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"Together AI","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2025-05-26T15:22:48Z","employer_posted_date":"2025-05-26","last_verified_at":"2026-10-29T15:16:12Z","board_verified":true,"closed_at":null,"days_open":521,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":520},"description":"Join our AI team at Prosus, the largest consumer internet company in Europe and one of the biggest tech investors in the world. You'll be working on the team that drives growth and innovation across the company, with your work directly impacting how millions of people shop online.\nWho we’re looking for\nWe're seeking a Senior Machine Learning Engineer to train domain-specific language models and provide technical leadership to the team. You'll own critical parts of our training infrastructure, mentor engineers, and drive technical decisions from data preparation through production deployment. You have deep hands-on experience training language models at scale, lead by example through rigorous experimentation and high-quality code, and are motivated by seeing your work deployed to millions of users. You thrive in fast-paced environments where you balance technical depth with practical business impact.\nWhat you’ll do\nAnalyze model performance and training data, formulate hypotheses, design and execute rigorous experiments to systematically improve model quality, training and inference efficiency, and downstream task performance\nDrive technical decision-making for model architecture, training strategies, and infrastructure choices\nProvide technical leadership and mentorship to ML engineers and interns, conducting code reviews, sharing best practices, and accelerating team growth\nTrain large language models through continued pre-training and full parameter fine-tuning on proprietary datasets\nBuild and optimize distributed training infrastructure across multi-node GPU clusters using frameworks like DeepSpeed, FSDP, Megatron-LM, or Axolotl\nOwn large-scale data preparation: filtering, quality assessment, deduplication, and data mixture strategies for training corpora at 100B+ token scale\nGenerate and curate high-quality synthetic data for instruction fine-tuning and capability enhancement\nDebug training stability issues, optimize training and inference throughput (quantization, distillation, serving optimization), and monitor model performance throughout long-running distributed jobs\nBuild robust evaluation frameworks and establish metrics to measure model quality and guide decisions\nWrite production-grade, well-tested code and set engineering standards for the team\nMinimum qualifications\n7+ years of ML engineering experience\nTechnical leadership experience: mentoring engineers, conducting code reviews, making architecture decisions, and delivering projects with measurable business impact\n Proven experience training and deploying language models to production (embedding models, encoder models, or large language models) including pre-training, continued pre-training, or fine-tuning with rigorous evaluation and inference optimization\nExperience preparing large-scaletraining datasets: data filtering, quality assessment, deduplication strategies, and data mixture design\nHands-on experience with distributed training frameworks (DeepSpeed, FSDP, Megatron-LM, or Axolotl) including orchestrating multi-node jobs, debugging failures, and optimizing throughput\nStrong understanding of training dynamics at scale: debugging loss instabilities, tuning learning rate schedules, managing training stability across long-running multi-node jobs\nExpert Python and PyTorch with production experience using training libraries (Transformers, DeepSpeed, Accelerate)\nPreferred qualifications\nPublished research at ML conferences (NeurIPS, ICML, ICLR, ACL, EMNLP), released models on Hugging Face, created public benchmarks, or contributed to open-source projects\nExperience with post-training methods: RLHF, DPO, GRPO, or other reinforcement learning approaches for alignment and instruction-following\nExperience optimizing models for production inference including quantization, model compression, distillation, and serving frameworks (vLLM, TensorRT-LLM)\nUnderstanding of memory optimization: gradient checkpointing, mixed precision training (FP16, BF16, FP8), ZeRO optimization\nDeep knowledge of GPU architectures (A100, H100, H200) and their implications for training and inference optimization\nTrack record of building synthetic data generation pipelines for instruction tuning or domain adaptation\nWhat we offer\nHigh-impact AI projects that are strategically vital to the company, with direct engagement from senior leadership including the CEO\nState-of-the-art infrastructure: H200 GPU fleet, massive proprietary datasets, access to frontier models (OpenAI, Anthropic, Google, Together.ai) for evaluation and baselines\nExpert colleagues who have released top Hugging Face models, authored papers at NeurIPS, created well-known benchmarks, and built multiple production AI systems\nSignificant autonomy and freedom to test ideas, experiment with new approaches, and drive technical decisions\nModern tooling: Latest ML frameworks, coding assistants, best-in-class development environment\nHybrid work model with our Amsterdam office - home to the AI House, bringing together 200+ AI professionals through events, meetups, and startup collaborations\n Competitive compensation, top-spec MacBook Pro, and an environment genuinely built for professional growth and learning\nIf you're excited to apply your LLM training expertise to high-impact applications at scale, lead technical initiatives, and grow the next generation of ML engineers, let's talk.","description_format":"text","description_chars":5376,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Apple Macbook","Hybrid work"],"hiring_locations":[{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce"],"lifecycle":[{"event":"open","at":"2026-09-12T08:38:44Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.228,"p_room":0.28,"age_days":520,"expected_fill_days":36,"reasons":["conf:3","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/prosus-senior-machine-learning-engineer-llms","json_url":"https://alion.io/job/prosus-senior-machine-learning-engineer-llms.json","meta":{"generated_at":"2026-10-29T20:00:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":29781,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":15163},"rest":"https://alion.io/mcp/rest/get_company?id=15163"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fprosus-senior-machine-learning-engineer-llms"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fprosus-senior-machine-learning-engineer-llms"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fprosus-senior-machine-learning-engineer-llms"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/prosus-senior-machine-learning-engineer-llms\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fprosus-senior-machine-learning-engineer-llms"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":802876}},{"tool":"search_jobs","arguments":{"company":"prosus.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":802876},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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