Senior Machine Learning Engineer

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May 10

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Weave

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Weave is building a generative AI platform and knowledge graph that will revolutionize how life science companies collaborate

2 - 10 employees

📋 Description

• Weave is looking for engineers hungry for fun challenges who can join our self-empowered teams and contribute in both technical and non-technical ways. • You will be joining a team of talented developers that share a common interest in distributed backend systems, data, scalability, and continued development. • Your work will impact the way our customers experience Weave while working closely with a highly skilled team to accomplish varying goals and cultivate our phenomenal culture. • The Machine Learning Team's mission is to enable product innovation by making it painless for developers to build ai powered applications that require access to large sets of data. Machine learning is challenging but we are striving to democratize access to the tools and technology that powers it so teams can build cutting edge features safely and responsibly without a PhD in Data Science. • As a Machine Learning Engineer on the team you’ll be building models for new products with emerging technologies, at scale. We handle data for hundreds of millions of people daily.

🎯 Requirements

• High integrity, team-focused approach, and collaboration skills to build tight-knit relationships across Weave with various roles and stakeholders. • Responsive person with a strong bias for action. • 5+ years of experience in any structured back-end language, i.e. Go, Java or Python (Go and Python experience is a plus). • Experience moving and storing TBs of data or 100M’s to 10B’s of records. • Experience building and deploying ML driven B2B multi-tenant applications in production environments. • Experience with common ML technologies such as Python, Jupyter, Workflow Engines (Dagster, MLFlow, KubeFlow, etc), DVC, Triton Server, LLMs, Postgres, and others. • Experience with modern ML tools and techniques such as LLMs, RAG, Prompt Engineering, Fine Tuning, multi-modal models, and others. • Experience with data labelling or annotation for audio or text use cases. • Understanding of distributed systems and building scalable, redundant, and observable services . • Expertise in designing and architecting systems for distributed data sets and services. • Experience building solutions to run on one or more of the public clouds (e.g., AWS, GCP, etc.). • Experience providing stable well designed libraries and SDKs for internal use. • Self driven and a thirst for learning in a quickly changing industry. • Demonstrated track record of delivering complex projects on time and have experience working in enterprise-grade production environments. • Strategic thinker with a strong technical aptitude and a passion for execution.