Machine Learning Engineer
Remote - United States · Senior · Contract
Sponsorship not specified$186k-$260kDetected 5 days ago
PythonJavaGoDistributed SystemsAlgorithmsRedisBigQueryKafkaMachine LearningDeep LearningTensorFlowPyTorchSparkAirflowData ScienceNLPLLMsRAGAgentic AIMLOpsResearchMentoring
Stay score
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.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 8 green-card filings in this occupation, 88% were for a worker who already held the job.
Files H-1B transfers
35 transfer filings in the last year, covering 35 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
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About the role
- 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.
Responsibilities
- Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
- Build scalable data and model pipelines with strong reliability, observability, and automated retraining
- Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
- Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals
- Family Planning Support
Requirements
- Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
- Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
- Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Nice to have
- Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
- Experience working with real-time systems and low-latency production environments
- Background in feature engineering, model optimization, and production monitoring
- Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
- Ads Measurement Modeling
- Ads Targeting and Retrieval
- Advertiser Optimization
- Ads Marketplace Quality
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.
- Design, build, and deploy production-grade machine learning models and systems at scale
- Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
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.