{"@context":"https://schema.org","@type":"JobPosting","directApply":"https://schema.org/False","title":"Machine Learning Engineer (Life Sciences)","description":"

In the last year at Loka, our teams helped clients advance the world’s #1 GenAI reading tutor, eliminate $1B in food waste and develop novel drugs for fighting cancer. To cap it off, at the end of 2024 Loka was recognized by AWS as Innovation Partner of the Year, outshining 150,000 partners for the title. And we did it all while working remotely and enjoying every other Friday off 😎

We’re seeking a Machine Learning Engineer with a focus on Life Sciences who understands statistical, ML and deep-learning algorithms. This position is oriented around research and model development and is indeed the type of protein engineering work done by recent Nobel Prize winners. Join our team, feed your curiosity and ship projects you’re proud of.

The Role

Implement state-of-the-art models and techniques, including deep learning architectures and foundation models.
Diagnose model performance issues, analyze sources of error and design strategies to mitigate them.
Work with scientific and biological data (e.g. molecular structures, protein sequences, omics datasets) to contribute to projects in drug discovery, life sciences and healthcare.
Design and run experiments, critically evaluate results and communicate findings through clear, data-driven reports.
Deploy, maintain and upgrade ML models and pipelines.
Stay up to date with the latest research and tools.

Required Hard Skills

Bachelor's Degree in Computer Science or related
2+ years of ML engineering experience
Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)
Being a global team, we work entirely in English for meetings, customer calls and business communications.

Bonus Points for Experience with…

Biotech or life sciences applications, especially in areas like drug discovery, genomics, or biomedical data analysis
Handling noisy and weakly labeled datasets
Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
Visualizing and manipulating big datasets

Personality Profile

Curiosity—You’re excited to learn and grow into different industries with a modern tech stack.
Autonomy and positivity—You thrive as part of a fully remote, globally distributed team.
Teamwork—You enjoy a collaborative approach.
Adaptability—You operate with a startup mindset and move at a startup pace.

Benefits

Every other Friday off (26 extra days off a year)
Remote and flexible
Explorer program (three months work abroad, sponsored by Loka)
Paid sick days and local holidays
Access to LokaLabs™, our internal research and development program
Mental wellness programs
Defined career path
Business English classes
Continuous Learning Support

Your achievements matter to us! Ensure your CV and LinkedIn profile are up to date and accurately reflect your experience. Please submit your CV in English.

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