65 applicants

Company

Original Job Post

Character.AI · 2 days ago

Staff Software Engineer - Applied ML

Menlo Park, CA

Full-time

Onsite

Senior Level

2+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

AppsArtificial Intelligence (AI)

H1B Sponsorship

Insider Connection @Character.AI

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Design, implement, and iterate on Applied ML systems like search, recommendations, and RAG in collaboration with our Research and Backend teams.

Own family of classifiers for async user-understanding

Interface with our Growth and Data Science teams to understand what levers we have to improve engagement and user experience.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

ML systemsSparkSpark codeProduction systemsGoPythonSQLJavaScalaAB testsKubernetesApache Spark on K8sApplied MLRetrievalEmbeddingsTensorflowPytorchXGBoostDataflowApache BeamML PlatformFeature StoresSearch

Required

Expertise building ML systems from scratch.

Experience leading teams of MLEs and Backend engineers on machine learning projects.

Solid understanding of Spark and ability to write, debug and optimize Spark code. Apache Spark on K8s a plus.

Experience building production systems in languages like Go, Python, SQL, Java, Scala

Experience designing and executing AB tests.

2+ years experience with Kubernetes.

Company

Character.AI

Character.ai provides open-ended conversational applications in which users create characters and converse with them.

Founded in 2021

Menlo Park, California, USA

11-50 employees

https://beta.character.ai

H1B Sponsorship

Character.AI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (5)

2022 (2)

2021 (1)