Instrumental Inc

Senior Machine Learning Engineer

Palo Alto, USA · Senior

Sponsorship not specified$196k-$266kDetected 566 days ago

PythonJavaMachine LearningDeep LearningComputer VisionLLMsCiscoResearch

About the role

We're seeking a highly customer-centric Senior ML Engineer who will join our cross-functional engineering team.
The role is focused on delivering production-grade ML solutions, including DL- and LLM-based approaches, that reliably work at scale.
Quickly prototype and iterate on new algorithmic concepts, and prioritize them based on customer needs.

Partner closely with the entire R&D organization, working in a highly collaborative, cross-functional environment where you'll be exposed to the entire scope of a deliverable rather than just the ML portion of the project.
Manage and improve the ML pipeline, from data management, model management, and resource scheduling.
Building hardware is like writing software with no debugger, no logs, and only three compile attempts-before mass production.
This lack of visibility leads to costly waste.
Leading brands like Meta, Bose, and Cisco use it to build better products, faster, with less waste.
You'll be responsible for working with our talented engineers to build and maintain a highly scalable end-to-end ML production pipeline.

To Be Successful: Proven track record of delivering systems at scale in a production environment.
At least 3 years of delivering production systems in Python, Java or Scala.
Familiarity with best practices for code quality, testing, and version control.
We actively work to promote an inclusive environment, valuing passion and the ability to learn.

The following is a representative annual base salary range for this position within the Bay Area: $196,000-266,000.

Instrumental is proud to offer a highly-rated variety of benefits, including health, vision, dental, commuter plans, and parental leave.
Experience with deep learning in a production setting, understanding how to manage data, training, deployment, and inference at scale with familiarity in LLM-based or computer vision-based approaches.

Feel at home communicating research and other complex ideas to a broad swath of the company including engineers and non-engineers.
At Instrumental, protecting company and customer information is a shared responsibility.
Employees are expected to comply with company engineering, security, access control, and privacy policies, and promptly report suspected security incidents or policy violations.
Maintain an obsessive focus on delivering value to our customers.
Maintain ownership of large-scale ML systems, all the way to surfacing the features to customers, and measuring their impact.
We're a ~70-person, mission-driven team that values inclusivity and impact.

This listing is sourced directly from Instrumental Inc's careers page and normalized into a canonical job model.