Staff Machine Learning Engineer

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August 3

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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. • Our teams are cross-functional agile teams composed of a product owner, backend and frontend devs and devops. • Above all, 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. • 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. • This is a fully remote opportunity in India with expectancy to overlap the India and US business hours.

🎯 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. • 8+ years of experience in Machine Learning or AI, preferably with a focus on natural language. • 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 at scale for external products and customers. • 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, techniques, and evaluation such as LLMs, RAG, Prompt Engineering, Fine Tuning, LLM evaluations, 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. • Demonstrated experience working with varied stakeholders across multiple teams. • Demonstrated leadership experience leading large projects or teams. • Strategic thinker with a strong technical aptitude and a passion for execution.