Jobs / United States / Reddit INC

Reddit INC

Machine Learning Engineer

San Francisco, CA; Remote - United States Posted today $216,700

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Skills this job asks for

Machine learningProduct managementKafkaLLMsGoogle CloudMental health

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 66 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Reddit INC paid sponsored hires in similar roles1 certified filing for “Machine Learning Engineer” (Computer and Information Research Scientists) in CA: $300k–$300k, median $300k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 66 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Reddit INC paid sponsored hires in similar roles
1 certified filing for “Machine Learning Engineer” (Computer and Information Research Scientists) in CA: $300k–$300k, median $300k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Reddit 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, Reddit 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, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . 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 Reddit 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 Reddit offices in San Francisco, CA. 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: applicationsreview@reddit.com at Req.# 1016.298.4. Pay Transparency: 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, Reddit 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 https://www.redditinc.com/careers/ . 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. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment

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