Full-Time

ML Engineer

Figma

Figma

1,001-5,000 employees

Web-based collaborative platform for product design


$149000 - $350000

Equity

Senior

Seattle, WA, USA + 3 more

Required Skills
Elasticsearch
Natural Language Processing (NLP)
Data Analysis
Requirements
  • 7+ years of practical/applied experience with machine learning methodologies and with data mining, statistical modeling, and/or equivalent
  • Demonstrated expertise in search indexing, retrieval and ranking systems like Elasticsearch/OpenSearch, personalization, and/or natural language processing
  • 2+ years of experience operating in a technical lead capacity in a high-growth environment and guiding team(s) through periods of ambiguity and rapid iteration
  • Proven track record of planning multi-year roadmap in which shorter-term projects ladder to long-term vision
  • Proven experience implementing the full lifecycle of an early-phase model development, from ideating on which models to use through productionizing and maintaining them
  • Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value
  • A growth mindset and experience investing in the learning, development, belonging, and impact of your peers, ex. mentoring/aligning senior engineers across organizations
Responsibilities
  • Spearhead developing early-phase machine learning systems to enhance the search experience for Figma users and build systems to measure and improve search quality and relevance
  • Lead and set the future direction of search quality at Figma in partnership with cross functional teams of innovative software engineers, product managers, and data scientists
  • Break down open-ended search relevance problems into engineering strategies by utilizing machine learning, data analysis, and experimentation design
  • Provide mentorship and champion best practices in data and machine learning while fostering a collaborative and inclusive team culture
  • Contribute to the growth of the team by improving hiring process and recruiting strong machine learning talent

Company Stage

N/A

Total Funding

$333.4M

Headquarters

San Francisco, California

Founded

2012

Growth & Insights
Headcount

6 month growth

1%

1 year growth

8%

2 year growth

65%

Benefits

Competitive salary & equity

Retirement with company contribution

Mental health and wellness benefits

Company recharge days

Work from home stipend

Health, Dental, & Vision

Parental leave & fertility support

Generous PTO

Learning & development stipend

Cell phone reimbursement