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Recrew AI
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1 to 50 Employees · Aubergenville, France
2 open roles1 posted in 7d2 in 30d
Work-life balance 4.0Compensation & benefits 1.0Culture & values 4.0
Hiring: Engineering
Job description
Hybrid
Overview
Role: Applied Scientist – Machine Learning
Responsibilities
- Design and develop ML algorithms for time-series, log, and waveform-based diagnostics across industrial datasets
- Build and optimize LLM/RAG pipelines including structured extraction, hybrid search, and domain-specific reasoning
- Architect scalable multimodal ingestion frameworks covering documents, logs, sensor streams, alarms, and images
- Productize ML models in collaboration with engineering teams into reliable, customer-facing systems
- Define use cases, benchmarks, and evaluation frameworks with product teams
- Lead ML projects end-to-end and contribute to patents, technical architecture documents, and research publications
- Prototype aggressively, iterate on real customer feedback, and own outcomes from research through deployment
- BS/MS/PhD in AI/ML, Computer Science, Electrical Engineering, Applied Mathematics, or a related field
- 2–5 years of hands-on experience in ML research or applied ML roles
- Strong Python programming skills with a track record of building and scaling ML systems in production
- Hands-on experience with LLMs, RAG architecture, prompt engineering, or fine-tuning
- Demonstrated experience with time-series modeling, anomaly detection, or statistical signal processing
- Proven ability to take ML projects from experimentation to deployed, customer-facing systems
Nice to have
- Startup or early-stage product-building experience
- Background in semiconductor, manufacturing, battery systems, or industrial data domains
- Experience building agents or autonomous reasoning systems
- Contributions to open-source ML or LLM tooling
- Direct experience working with customers or field engineering teams
Benefits
- Frontier ML problems on multimodal industrial data with real, measurable customer impact
- High agency and direct influence on product and scientific direction at a seed-stage company
- ESOPs and rapid growth opportunities
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Job application FAQ
Last updated 20 October 2026
- How do I apply for Applied Scientist- Machine Learning at Recrew AI?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Recrew AI may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Applied Scientist- Machine Learning role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Applied Scientist- Machine Learning remote or on-site in Gurugram, Haryana?
- This listing is marked hybrid with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Applied Scientist- Machine Learning role at Recrew AI?
- This is a mid-level Applied Scientist- Machine Learning role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.