Machine Learning Engineer

Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.

Join our team to work remotely ship projects you’re proud be a part of and enjoy every other Friday off (yes we really take it 😎)

The Role

• Understanding of statistical ML and deep learning algorithms

• Analyze errors of models and design strategies to overcome them

• Deploy maintain and upgrade ML models and pipelines

• Ambition to learn and grow into different industries with a modern tech stack

• Autonomy adaptability and positivity (fully remote and globally distributed team)

The Benefits

• Every other Friday off (26 extra days off a year)

• Remote and flexible

• Explore and Relocation programs (three months work abroad or full international relo)

• Paid sick days and local holidays

• Business English classes program

• Continuous Learning Support

• Fitness and/or Mental Health Subscriptions

• Access to LokaLabs™ our internal research and development program

• Defined career path

The 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.)

Additional Requirements

• Excellent English - Being a global team we work entirely in English for meetings customer calls and business communications

• CV written in English

Bonus Points for Experience with…

• 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

• NLP

The Required Soft Skills

• Curiosity—Ambition to learn and grow into different industries with a modern tech stack

• Autonomy and positivity—We’re a fully remote globally distributed team

• Teamwork—Enjoy a collaborative approach

• Adaptability—Operate with a startup mindset and move at a startup pace

Please submit your CV in English.