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Senior Fastapi Jobs in Hayward, CA (NOW HIRING)

Poshmark

Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$127K - $175K/yr

Flask, Fastapi, Gunicorn, Quarkus * MLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, Datadog * Docker, Kubernetes, Jenkins * Redis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, Milvus

Poshmark

Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$120 - $150/hr

Experience with Flask, FastAPI, RabbitMQ, Embeddings and Vector DBs Our Techstack: * Pytorch, Tensorflow, Sklearn * Flask, Fastapi, Gunicorn, Quarkus * MLFlow, Sagemaker, Kibana, Airflow, Databricks ...

Workato

Senior Software Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Responsibilities We're looking for an exceptional Senior Software Engineer to help build the ... Python, FastAPI, Postgres, Kubernetes, AWS. You don't need prior experience with all of it - we ...

Hedra

Senior Backend Engineer

San Francisco, CA · On-site

$175K - $275K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

As a Senior Backend Engineer , you will design, build, and deploy the backend services that power ... Experience developing scalable services using Python, using frameworks such as FastAPI and Pydantic

Cypress HCM

Sr. Full Stack Engineer

San Francisco, CA · On-site

$150 - $200/hr

Sr. Full Stack Engineer We're looking for a strong full stack engineer to join a collaborative ... React, TypeScript, Python, FastAPI GraphQL * Familiarity with data infrastructure and API ...

Apple

Sr Python Backend Engineer, AIML

Cupertino, CA

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

The AI and Machine Learning team is looking for Sr Python Backend Engineer to build world-class ... FastAPI, Django, or Flask. Build and integrate LLM-powered workflows, AI agents, and agentic ...

F2

Senior Software Engineer

San Francisco, CA · On-site

$175K - $200K/yr

The Role We are seeking a hands-on Senior Software Engineer who loves building from 0→1 and ... Familiarity with Python, FastAPI, TypeScript, Node.js, Supabase, and AWS is a plus. Location: San ...

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All JobsFastapi JobsSenior Fastapi JobsSenior Fastapi Jobs in Hayward, CA

Senior Fastapi information

See Hayward, CA salary details

$28.7K

$92K

$187.5K

How much do senior fastapi jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior fastapi in Hayward, CA is $92,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $118,100.00 per year, depending on experience, location, and employer.

What is the difference between Senior Fastapi vs Backend Developer?

AspectSenior FastapiBackend Developer
Primary FocusBuilding APIs with Fastapi frameworkDeveloping server-side logic across various frameworks
Required SkillsPython, Fastapi, async programming, REST API designPython, multiple frameworks (Django, Flask, Fastapi), database management
Work EnvironmentTech companies, startups, cloud-based projectsVaried industries, enterprise and startup environments
CertificationsPython certifications, Fastapi experiencePython certifications, general backend development certifications

Senior Fastapi specialists focus specifically on building high-performance APIs using the Fastapi framework, often requiring expertise in async programming and REST API design. Backend Developers have a broader scope, working across multiple frameworks and technologies to develop server-side logic. While both roles require Python skills, Senior Fastapi roles are more specialized, whereas Backend Developers have a wider range of tools and responsibilities.

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Senior Fastapi jobs near you

Sr. Engineer, Machine Learning

Poshmark, Inc

Redwood City, CA • On-site

$151K - $214K/yr

Full-time

Re-posted 12 days ago

Job description

About Poshmark
Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.
The Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitization to name a few).
Responsibilities:
  • Manage the entire ML lifecycle from data collection to deployment and monitoring
  • Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML models
  • Write and optimize code for production environments, ensuring the robustness and reliability of ML services at scale
  • Manage and support current solutions while evolving them to incorporate newer technologies
  • Strong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple manner
  • Stay updated with the latest developments in data science and machine learning

Desired Skills & Experience:
  • 4+ years of experience applying Machine Learning to concrete problems at large scale
  • Bachelors or Masters in Computer Science, Statistics, or related field
  • Strong CS fundamentals. Should be able to write algorithms with ease.
  • Solid understanding of Data Science and ML fundamentals - Regression, Classification, Tree-based approach, Neural network, and sequence-based models.
  • Working experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
  • Should have excellent understanding of ML lifecycle
  • Good understanding of system architecture. Have knowledge of big data technologies - streaming architecture, data pipelines, etc.
  • Experience with Python, SQL, Java or Scala
Good to Have:
  • Big data systems - Spark, EMR, S3, AirFlow
  • Production experience with LLMs and prompt engineering
  • Experience with Flask, FastAPI, RabbitMQ, Embeddings and Vector DBs

Our Techstack:
  • Pytorch, Tensorflow, Sklearn
  • Flask, Fastapi, Gunicorn, Quarkus
  • MLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, Datadog
  • Docker, Kubernetes, Jenkins
  • Redis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, Milvus

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