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Apprentice Graduate Python Developer Jobs in Pleasant Hill, CA

Responsibilities We are seeking exceptional graduate students to join our AI Lab as Research ... Strong programming skills in Python and PyTorch * Ability to work in-person at our San Francisco ...

Should we want to extend you a full-time offer after you graduate, we ask that you would be willing ... Familiarity with SQL, Python, or data visualization tools is a plus * Curious mindset with ...

Interface closely with the Backend and DevOps teams as well as with our internal data labeling ... You have an undergraduate or graduate degree in computer science or similar technical field, with ...

Build and extend backend systems in TypeScript and Python; shape frontend experiences in JavaScript ... graduate degree a plus (we take fundamentals seriously) * Self-directed and decisive: you identify ...

Data Engineer I

San Francisco, CA · On-site

$115K - $145K/yr

This is an early-career role designed for a strong CS or Computer Engineering graduate who is ... Write production-grade Python and SQL to ingest, clean, and transform climate, weather, and ...

Have just graduated or are about to graduate * Can code in Python * Are confident working ... Want a product engineering role building features for end users * Prefer a highly collaborative ...

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Apprentice Graduate Python Developer information

See Pleasant Hill, CA salary details

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How much do apprentice graduate python developer jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for apprentice graduate python developer in Pleasant Hill, CA is $64.03, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $72.74 per hour, depending on experience, location, and employer.
What cities near Pleasant Hill, CA are hiring for Apprentice Graduate Python Developer jobs? Cities near Pleasant Hill, CA with the most Apprentice Graduate Python Developer job openings:
Staff Machine Learning Platform Engineer

Staff Machine Learning Platform Engineer

Faire

San Francisco, CA

$246K - $339K/yr

Other

Posted 7 days ago


Job description

About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering.  You'll be joining a small but deeply critical team that scales Faire's ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

  • Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
  • Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
  • Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
  • Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
  • Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
  • Optimize performance, reliability, and cost across training and inference workloads
  • Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
  • Establish observability for data quality, model performance, and platform health
  • Build and maintain ML Platform technical documentation

What it takes

  • 8+ years of experience building production ML or data platforms
  • A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
  • Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
  • Proficiency in Python, SQL, and distributed systems concepts
  • Experience with cloud platforms and infrastructure-as-code
  • Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
  • Experience supporting multiple ML teams in a shared platform environment
  • Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you're missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you'll want to be proficient with the following:

Category

Technologies

Languages

Python, SQL, Kotlin

ML Frameworks

PyTorch, MLFlow 

Big Data & Processing

Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL

Cloud & Infrastructure

AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform

Generative AI

Claude Sonnet 4.5, ChatGPT 5.2

Salary Range

San Francisco: the pay range for this role is $246,500 to $339,000 per year. 

This role will also be eligible for equity and benefits. 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.