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Remote AI / ML Engineer

at fabric

Posted 10 hours ago 2 applied

Description:

  • fabric is a next-generation commerce platform aimed at revolutionizing the commerce industry.
  • The company is headquartered in San Francisco and was founded in 2017 by industry veterans.
  • The AI/ML Engineer will design, build, and scale an agentic AI platform and agents for the commerce operating system.
  • The role involves contributing to end-to-end AI/ML solutions, developing production-grade pipelines, and applying various AI/ML techniques.
  • Responsibilities include building intelligent data products, supporting MLOps efforts, collaborating across teams, and staying informed about new tools and research.
  • The position is open to candidates in the United States, specifically in California, Washington, New York, Texas, and Massachusetts.

Requirements:

  • Candidates should have 5+ years of experience in applied ML/AI roles, preferably in product-focused environments or high-growth startups.
  • Proven experience in building and deploying ML models for real-world applications is required.
  • Full-stack ML expertise is necessary, including data engineering, modeling, MLOps, and product building.
  • Strong programming skills in Spark, Python, TensorFlow/PyTorch, MLFlow, Airflow, Docker, and Kubernetes are essential.
  • A Bachelor’s or Master’s degree in Computer Science, Engineering, Econometrics/Statistics, or a related field is required, or equivalent practical experience.
  • Candidates should have a passion for building usable, scalable products and possess strong communication skills with a collaborative mindset.

Benefits:

  • Competitive compensation packages are offered, with a base salary range of CAD $135K to 170K annually.
  • The role may include an annual performance bonus, equity options, and comprehensive company benefits.
  • Benefits packages include Medical, Dental, Life, and Vision coverage.
  • Employees have access to wellness and technology programs, as well as a 401k program.
  • The work environment is fast-paced, fun, and collaborative, with a team invested in personal and professional growth.