Weave

Senior Machine Learning Engineer, Gen AI

Weave

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

AWSCloudDistributed SystemsGoGoogle Cloud PlatformJavaPostgresPython

About the role

  • 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.
  • Contribute to the continued evolution of product functionality that services large amounts of data and traffic.
  • 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.

Requirements

  • 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.
Benefits
  • Health insurance
  • Flexible work arrangements
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningback-end programmingGoJavaPythondata integrationevent processingdistributed systemsML technologiesdata labeling
Soft Skills
collaborationcoachingcommunicationstrategic thinkingaccountabilityproblem-solvingadaptabilityleadershipcustomer experience focusself-driven