You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Early Window: Closes in
Company hidden

Machine Learning Engineer

  • Hybrid

Salary

$215,000 - 220,000/ year

AI summary

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Description

The company is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, the company users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, the company is one of the internet’s largest sources of information. For more information, visit the company's site .

Job Duties: Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization. Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production. Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance. Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions. Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines. Research new algorithms, stay up-todate with state-of-the-art ML techniques, and contribute to the team’s strategy and roadmap. Part-time telecommuting is an option. Hybrid work from the company offices in San Francisco, CA.

Requirements: Master’s degree, or its foreign degree equivalent, in Computer Science, Robotics, Engineering (any field), or a related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field.

Special Skill Requirements: (1) PII Data handling; (2) Kafka Infrastructure; (3) Data governance; (4) Batch data pipeline; (5) SLOs; (6) Graph service; (7) ML models; (8) XGboost; (9) LLM; (10) Google Cloud Platform. Any suitable combination of education, training and experience is acceptable. Part-time telecommuting is an option. Hybrid work from the company offices in San Francisco, CA.

Conditions

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, the company offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit the company's site .

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies.

The base pay range for this position is: $216,700.00 - $303,400.00 USD

LI-DNI

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

The company is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. The company is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Benefits

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
  • Submit a resume with references using the apply button on this posting or by email at: the company's site at Req. 1016.298.4.

Where you’d work

Part of the week in the office

The office

About the company

Company hidden

Office in San Francisco, United States

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 17 checks run
  • 5 good signs
  • 1 red flag

Still hiring?

11 checks

Actively hiring

In its favour3

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • A tight salary range, set for one seat: $215K to $220KSlight evidence

Against it1

  • Listed again after an earlier listing of the same role closedModerate evidence

How crowded?

6 checks

Low

In its favour2

  • In its Early Window: not on the big job boards yetStrong evidence
  • Hybrid in San Francisco: only people nearby can take itSlight evidence

Fits Me

How well does this role fit you?

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  • Your field
  • Level
  • Stack
  • Work model
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  • Must-haves
Details10 facts · Role, Location, Compensation, Employment
Tech stack
  • Google Cloud
  • Kafka
  • LLMs
Type
Part-time
Equity
Equity offered
Specialty
ML
Region
United States
Pay period
Annual
Show 4 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Tech stack
  • Google Cloud
  • Kafka
  • LLMs

Location

Work model
Hybrid
Region
United States
Office
  • San Francisco, United States

Compensation

Salary
$215,000 - 220,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Part-time

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