Software Engineer, Machine Learning - Search Algorithm, Standalone Apps Team

Posted today

metaEdison (NJ)

SENIORITY

Lead

SALARY

$271,000 - $347,000 per year

Apply

About the role

Summary: We're Meta's Standalone Apps Team - we build new apps to reach new user scenarios and serve needs that aren't well met today. The project we're building right now is an image-and-text community where real people share first-hand experiences and recommendations - what to try, where to go, how to do something. It's where people come to get inspired and to make everyday decisions, learning from others who've actually been there. It's still early - a small team working 0→1.If you want high ownership, a short path from idea to ship, and the chance to shape a product from its first version, this is that kind of team. We're looking for a staff-level ML engineer to own the search algorithm - retrieval, ranking, and relevance - so people can find exactly what they're looking for.
Required Skills: Software Engineer, Machine Learning - Search Algorithm, Standalone Apps Team Responsibilities: Own the modeling and systems direction for search - retrieval, ranking, query understanding, and relevance. Define search-quality metrics and the experimentation approachdrive measurable relevance gains. Build and scale the ML and serving systems search depends on. Set technical direction across teamsalign search work with product strategy. Mentor ML and product engineersraise the bar on modeling and evaluation rigor.
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12+ years of relevant experience, with deep expertise in search / information retrieval / ranking
  • Strong foundation in ML and in the systems that train and serve models at scale
  • Track record of driving search/relevance improvements that moved product metrics
  • Experience setting technical direction across multiple teams
Preferred Qualifications:
  • Experience building search for a new product (0→1)
  • Experience with semantic/embedding retrieval, query understanding, or large-scale search infrastructure
  • Publications or recognized contributions in IR/search/MLPublic Compensation:$271,000/year to $347,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this