Faire
Senior Applied ML/AI Scientist - Search
New York City, NY; San Francisco, CA · Senior
Sponsorship not specified$211k-$291kDetected 9 hours ago
PythonJavaKotlinAlgorithmsCode ReviewMachine LearningDeep LearningPyTorchSparkNLPLLMsMLOpsStatisticsA/B TestingResearchCommunication
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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.
Lottery odds assume a STEM candidate.
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About the role
- You will advance real-time search and recommendation systems that power next-generation shopping experiences.
- This is a rare chance to influence the end-to-end personalized discovery experience at Faire within a high-scale, deeply multi-modal environment, while collaborating closely with a talented team of scientists and engineers.
Responsibilities
- Partner closely with teams across Faire to experiment and improve the ML models for search ranking and beyond.
- Design and productionize natural-language search and discovery systems so that intelligent agents can generate relevant and personalized collections, explain search results, and assist retailers with browsing, filtering, and evaluation.
- 5+ years of industry experience building large-scale ML models with business impact and shipping ML solutions to production, including 3+ years in search, recommendation, or ads ranking
- Industry experience developing and productizing LLM-based applications and systems in the search domain.
- Industry experience building search and recommendation systems for e-commerce or two-sided marketplaces.
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
Requirements
- You're a great fit if you have
Skills
- Faire is a technology wholesale platform built on the belief that the future is local.
Compensation
- US: the pay range for this role is $211,000 to $290,500 per year.
- Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location.
- The base pay range provided is subject to change and may be modified in the future.
- Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year.
Benefits
- Build our next-generation Search ranking algorithms by integrating the latest advances in deep learning and machine learning to personalize the retailer discovery journey at Faire
- Share best practices regarding deep learning model development, agent-workflow evaluation, and MLOps, and help teammates level up through code reviews and technical guidance.
- Strong programming skills (Python, Java, or equivalent) and hands-on experience with deep-learning libraries (e.g., PyTorch) and big data technologies (e.g., Spark).
- This role will also be eligible for equity and benefits.
Company info
- At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.
- We're looking for smart, resourceful and passionate people to join us as we power the shop local movement.
This listing is sourced directly from Faire's careers page and normalized into a canonical job model.