Machine Learning Engineer

Latham · Lathammid

EngineeringData Science

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Requirements Summary

Langchain), fine-tuning and serving LLMs, search and embeddings, etc. MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.

Technical Tools

EngineeringData Science

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 😎)

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)

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

~1 min read

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

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