Machine Learning Engineer

About the role

Years from now, history will look back at this moment as a landmark for the human race, the moment generative AI began to change everything. At Loka, our ML crew is in the thick of it, shipping GenAI into production across life sciences, from cutting-edge BioLM models to agentic applications for genetic research companies.

Loka is seeking a Machine Learning Engineer to join our growing team. In this position you'll build and improve machine learning solutions across multiple projects, applying your knowledge of ML and GenAI to deliver robust, scalable systems and refine them over time. You'll grow your craft alongside an experienced ML crew on work that ships to real clients.

About Loka

Loka is a globally distributed tech consultancy based in Silicon Valley. In 2024, we were recognized by AWS as Innovation Partner of the Year, beating out 150,000 partners for the title. We help clients ship machine learning and GenAI into production across life sciences, as well as marketing, advertising and more.

We count more than 100 certified specialists, technical experts and PhDs among our teammates, committed Lokals who bring their brilliance both to client work and to mentoring junior colleagues. We work entirely remotely, test new ideas in our in-house incubator LokaLabs™, observe local holidays and take every other Friday off (really).

What You'll Do

Project Work & Logistics

- Take ownership of your assigned tasks and projects, accountability is key.

- Participate in client communications, communicating deliverables clearly.

- Understand business objectives and build solutions that help achieve them, along with metrics to track progress.

- Collaborate cross functionally with other teams (Data Engineering, DevOps, Backend).

Technical Tasks

- Build and maintain components of generative AI systems, including LLM powered application features and agentic workflows.

- Build information retrieval pipelines within established architectural patterns (data ingestion, chunking, embeddings, vector search).

- Contribute to evaluation frameworks and production monitoring for GenAI solutions.

- Wrangle, explore and visualize data with a keen eye for data cleaning.

- Deploy, maintain and upgrade ML models and pipelines, analyzing model errors and designing strategies to overcome them.

- Write and maintain technical documentation.

What You'll Bring

Technical Skills

- Bachelor's degree in Computer Science or a related field.

- 2+ years of AI/ML engineering experience.

- Hands-on experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, using common frameworks (LangChain/LangGraph, LlamaIndex).

- Understanding of statistical, ML and deep learning algorithms.

- Working knowledge of cloud ML services, preferably AWS (Bedrock, AgentCore, SageMaker).