Machine Learning Ops Engineer

March 26

⛷️ Utah – Remote

Although this job is listed in Utah, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

Apply Now

Receive Emails with Similar Jobs

Weave

WebsiteLinkedInAll Job Openings

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. • You will get a chance to apply these, and other skills, to new and ongoing projects to make machine learning more approachable, data more available, and easier to discover and use by helping design how teams build out AI powered features at Weave. • The MLOps 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. • We handle data for hundreds of millions of people daily. • Our teams are cross-functional, agile teams composed of a product owner, backend and frontend devs and devops. • Teams are highly autonomous with the ownership and ability to act in Weave’s best interest. • 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.

🎯 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. • Demonstrated experience with common MLOps technologies such as Python, Jupyter, Workflow Engines (Dagster, MLFlow, KubeFlow, etc), DVC, Triton Server, LLMs, Postgres, and others. • Experience with data labelling or annotation for audio or NLP 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.