Senior Machine Learning Engineer

About The Role

We're seeking a highly customer-centric Senior ML Engineer who will join our cross-functional engineering team. You'll be responsible for working with our talented engineers to build and maintain a highly scalable end-to-end ML production pipeline. The role is focused on delivering production-grade ML solutions, including DL- and LLM-based approaches, that reliably work at scale.

What You'll Do

• 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.
• 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.
• Quickly prototype and iterate on new algorithmic concepts, and prioritize them based on customer needs.
• Utilize state-of-the-art AI approaches, including emerging LLM-based and multimodal solutions.
• Guide efforts to acquire high-quality datasets.
• Manage and improve the ML pipeline, from data management, model management, and resource scheduling.

What You'll Need 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.
• Start-up or equivalent experience where you demonstrate strong attention to detail and ownership balanced with a scrappy, get-stuff-done, mentality.
• 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.
• Solid understanding of data management, model deployment, and performance optimization.
• Feel at home communicating research and other complex ideas to a broad swath of the company including engineers and non-engineers.

Qualifications

• 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.
• Start-up or equivalent experience where you demonstrate strong attention to detail and ownership balanced with a scrappy, get-stuff-done, mentality.
• 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.
• Solid understanding of data management, model deployment, and performance optimization.
• Feel at home communicating research and other complex ideas to a broad swath of the company including engineers and non-engineers.

Skills

• 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.
• Start-up or equivalent experience where you demonstrate strong attention to detail and ownership balanced with a scrappy, get-stuff-done, mentality.
• 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.
• Solid understanding of data management, model deployment, and performance optimization.
• Feel at home communicating research and other complex ideas to a broad swath of the company including engineers and non-engineers.

Benefits

• Health
• Vision
• Dental
• Commute
• Paternity Leave

Pay

The following is a representative annual base salary range for this position within the Bay Area: $194,000-214,000.

Schedule

N/A

Company Information

We're a ~70-person, mission-driven team that values inclusivity and impact. If that resonates with you, let's talk.

Contact

If you're interested in this role, please reach out to us at [contact information].