Software Engineer, Applied ML (Discovery, Recommendation & Search)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Software Engineer, Applied ML (Discovery, Recommendation & Search) Redwood City, CA, Redwood City, California, United States About the Role As a Software / ML Engineer you will work cross functionally with product, data science and data platform to identify, design and implement the applied ML models and infra, ranging from the model optimization, data pipeline to model training and serving infrastructure, on one of the fastest growing native AI consumer applications on the market today. You will work on implementation of our ML backend systems to power the discovery surfaces including recommendation, ranking and search, supporting new AI generated content formats on our product while working with the team to support optimizing our existing systems. Requirements: - B.A.S. in Computer Science or equivalent experience. - 5+ years of industry experience - Experience building/consuming RESTful and gRPC based web-services - Experience building and managing infrastructure in a cloud environment (GCP, AWS or Azure) - Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow - Experience writing highly performant service in a modern typed language - Experience configuring and maintaining CI/CD pipelines and automated testing Desired Experience: - Experience with shipping intelligent features, end-to-end, and from idea to production - Experience with understanding, designing or implementing a full pipeline from data ingestion to model training. - Experience with production AI/ML systems and services including optimizing GPU/TPU deployments - Experience working with vector databases or other feature storage You will be a good fit if you are proactive and have a

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