Senior Machine Learning Engineer
Role details
Job location
Tech stack
Job description
We're looking for a Senior Machine Learning Engineer (Level 2/3) to join our growing ML Engineering team and lead the development of advanced AI systems that power our platform. You'll design and deploy the core intelligence behind our products, with a focus on building autonomous, stateful AI agents capable of reasoning, learning, and acting in dynamic environments.
In this role, you'll bridge the gap between research and production-architecting, training, and scaling systems that turn cutting-edge ideas into reliable, production-ready tools. You'll collaborate with engineering, data, and product teams to create cohesive, high-performance ML ecosystems across multimodal search, forecasting, and video understanding.
If you're passionate about pushing the boundaries of applied AI-designing intelligent systems that think and evolve-this is an opportunity to have real impact.
Here's What You'll Do Day to Day:
- Design and deploy autonomous AI agents, including reasoning loops, memory layers, and orchestration pipelines.
- Build observability and evaluation systems to monitor reasoning, token usage, and model performance, ensuring reliable production behavior.
- Lead the development of multimodal ML pipelines for semantic search, RAG, recommendation systems, and vector search across text, image, and video data.
- Engineer high-throughput time-series analytics and forecasting models that connect batch OLAP queries with real-time inference.
- Develop and maintain scalable asynchronous APIs and containerized services, ensuring reliability, monitoring, and performance optimization.
- Partner with product and engineering teams to translate business goals into measurable ML outcomes.
- Drive research-to-production pipelines for experimental AI projects and evaluate emerging technologies to advance our platform.
Requirements
Do you have experience in PostgreSQL?, * 4+ years of experience in machine learning engineering, building production-grade ML systems.
- Hands-on experience with agentic AI frameworks (e.g., LangGraph, LlamaIndex, Zep, Mem0, Langfuse, LangSmith).
- Experience building RAG pipelines, recommendation systems, and/or vector search applications (e.g., Pinecone, Vespa, PostgreSQL + pgvector).
- Strong background in time-series modeling, anomaly detection, and large-scale data analysis (e.g., Clickhouse).
- Skilled in asynchronous API design, containerization, and modern CI/CD workflows (FastAPI, Docker, Kubernetes, GitHub/Bitbucket).
- Excellent EDA skills with the ability to translate data insights into production-ready ML solutions.
- Comfortable working with LLM ambiguity, designing systems that fail gracefully and learn continuously.
- Proactive, independent, and curious-able to own complex features end-to-end and raise the technical bar for the team.
- Strong communication skills-able to explain trade-offs between AI approaches and align technical metrics to business goals.
- Experience leveraging AI tools and functionality to improve workflow efficiency, research, and experimentation.
Benefits & conditions
Foam provides flexible benefits and collaborative work environments/experiences, so employees can work productively in a setting that best and uniquely suits their needs.
- Private medical insurance
- Health cash plan
- 25 days of PTO + Sick days + Winter break
- Private pension scheme
- Monthly phone/internet reimbursement
- Professional development stipend
- New joiner Home office allowance
- Enhanced maternity (22 weeks)/paternity (16 weeks) leave
- Reduced fee gym membership (next to office location)
- Volunteer days
- Social programs
