Senior ML Engineer — Production AI for Smart Materials

Talantir; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Talantir is seeking a Senior Machine Learning Engineer in San Francisco, with hybrid work flexibility. You will join an early-stage AI company building a platform to transform materials discovery and sourcing, handling data at scale and enabling intelligent search, ranking, and recommendations across millions of products.

You will work on core ML systems, deploy models, and shape platform evolution as it scales, collaborating with product and engineering to move ideas from conception to launch.

Qualifications

• Experience building and deploying ML systems in production.
• Strong Python and ML library experience.
• Hands-on with LLMs, RAG, or NLP workflows.

Responsibilities

• Build and deploy machine learning models into production environments.
• Work on search, ranking, and recommendation systems to improve relevance and accuracy.
• Develop and optimise NLP and document extraction pipelines across unstructured data.
• Design and implement retrieval-based systems using LLMs and embeddings.
• Analyse data and continuously improve model performance in real-world settings.
• Collaborate closely with product and engineering to take features from idea through to launch.
• Own problems end-to-end, from experimentation to production impact.

Skills

Python

ML libraries

LLMs

NLP

Unstructured data

Job description

Talantir is seeking a Senior Machine Learning Engineer in San Francisco, with hybrid work flexibility. You will join an early-stage AI company building a platform to transform materials discovery and sourcing, handling data at scale and enabling intelligent search, ranking, and recommendations across millions of products.

You will work on core ML systems, deploy models, and shape platform evolution as it scales, collaborating with product and engineering to move ideas from conception to launch.