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

Staff Machine Learning Engineer, Gen AI

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 1-10Since 2011H1B SponsorCompany Site LinkedIn

Location

United States

Posted

108 days ago

Salary

Not specified

Bachelor Degree8 yrs expEnglishCloudDistributed SystemsPostgresPython

Job Description

• Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences. • Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning. • Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products. • Consult with teams to help them understand common patterns, anti-patterns, and tradeoffs of machine learning. Guide them through creating excellent customer experiences end to end. • Build scalable, resilient services to support data integration, event processing, and platform extensions. • Write code that is high-quality, performant, sustainable, and testable while holding yourself accountable for the quality of the code you produce. • Coach and collaborate inside and outside the team. You enjoy working closely with others - helping them grow by sharing expertise and encouraging best practices. • Work in a cloud environment, considering the implementation of functionality through several distributed components and services. • Work with our stakeholders to translate product goals into actionable engineering plans.

Job Requirements

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 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.