Staff Machine Learning Engineer

Weave is looking for a Staff Machine Learning Engineer to join their team. The successful candidate will design and develop machine learning infrastructure, tooling, and models to help teams deliver world-class experiences. The role involves building scalable, resilient services to support data integration, event processing, and platform extensions. The ideal candidate will have 8+ years of experience in Machine Learning or AI, preferably with a focus on natural language.

Requirements

• High integrity, team-focused approach, and collaboration skills
• 8+ years of experience in Machine Learning or AI
• 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
• 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

Benefits

• Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported
• We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics