Software Engineer, Applied ML (Discovery, Recommendation & Search)
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 nativ
What this role actually needs.
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 nativ Responsibilities: - 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 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 Company context: Character.AI builds personalized conversational AI agents and the infrastructure that powers them at scale.
Day-to-day expectations
Character.AI lists these responsibilities for the Software Engineer, Applied ML (Discovery, Recommendation & Search) role.
- 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
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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
Why this listing is more than a copied job post.
Software Engineer, Applied ML (Discovery, Recommendation & Search) is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Compensation read
$200K - $300K is visible before the click, so candidates can compare the role against local market expectations before applying.
Work authorization read
Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
Hybrid roles in Redwood City should be compared against commute, local salary bands, and nearby employer demand.
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Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to software engineer, applied ml (discovery, recommendation & search) is a high-signal hybrid role in redwood city, and it is most realistic for open to tn, h-1b, and opt candidates already in the united states.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- $200K - $300K is visible, so calibrate your application around the posted range.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in hybrid environments.
Keywords to match against your background
Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.
Apply through the employer source
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Source: jobs.ashbyhq.com · Source ID: 3cfa1472-4f6d-46fa-bd08-f6de0833a53f · Confidence: 92/100 · Last checked: May 7, 2026
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