Machine Learning Engineer
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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.
Machine Learning Engineer
To see similar active jobs please follow this link: Remote Development jobs
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.