Staff Machine Learning Engineer, Retrieval
Remote - United States · Staff+ · Contract
Sponsorship not specified$230k-$322kDetected 12 hours ago
Machine LearningDeep LearningTensorFlowPyTorchData ScienceNLPA/B TestingExperimental DesignLeadershipCommunicationMentoring
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
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Green-card filing pattern in this occupation
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Files H-1B transfers
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About the role
- We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval ML team.
- This is an applied ML role centered on retrieval modeling and end-to-end product impact.
Responsibilities
- Design, develop, and launch candidate-generation and retrieval models for campaigns and ads across Reddit's advertising surfaces.
- Improve the retrieval stack across key modeling decisions, including objectives, labels, sampling strategies, hard-negative mining, feature design, embedding generation, candidate filtering, and retrieval depth.
- Lead offline analysis and online experiments, interpret ambiguous results, and translate findings into the next modeling iteration.
- Partner with downstream ranking, ads platform, auction, measurement, and product teams to ensure retrieval models integrate effectively into the full ads funnel.
- Write design documents, review code and model changes, and raise the quality bar for modeling, testing, observability, and production ownership.
- You will lead the design and evolution of retrieval models and modeling practices that improve relevance, advertiser outcomes, and user experience at Reddit scale.
- You will be expected to stay close to the technical details-from data and objective design through model development, evaluation, experimentation, and launch-while setting direction for other engineers.
- Family Planning Support
Requirements
- Deep experience with information retrieval, candidate generation, recommender systems, ranking, or related relevance problems.
- Strong understanding of retrieval modeling concepts, including DNN, embeddings, two-tower or dual-encoder models, approximate nearest-neighbor search, and multi-stage retrieval.
- Experience working with large-scale behavioral, contextual, or content datasets and complex feature pipelines.
- Strong software engineering fundamentals and the ability to write clear, reliable, maintainable production code.
- Excellent written and verbal communication, with the ability to explain complex modeling choices to technical and non-technical audiences.
Nice to have
- Experience with ads retrieval, ad serving, recommendation, search relevance, or marketplace optimization
- Experience modeling user, content, campaign, or ad interactions with sequential, graph, or multimodal signals
- Experience connecting retrieval improvements to downstream ranking, auction, conversion, revenue, or user-experience outcomes
- Experience in ads marketplaces at peer companies
- Publications, patents, or industry contributions in applied ML or ranking systems
- Experience with sequential modeling (e.g., RNNs, Transformers)
- 401k with Employer Match
- Gender-Affirming Care
Compensation
- 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.
- To provide greater transparency to candidates, we share base salary 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.
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
- 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.
- Apply modern approaches such as two-tower architectures, representation learning, embeddings, sequence models, graph-based methods, and other deep learning techniques when they create meaningful product value.
Company info
- Role Description: We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval ML team.
Equal opportunity
- Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.
- If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Visa & Work Authorization
- You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
This listing is sourced directly from Reddit's careers page and normalized into a canonical job model.