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Fastapi Jobs in Massachusetts (NOW HIRING)

OneScreen

Founding Machine Learning Engineer

Boston, MA · On-site

Strong production Python (NumPy, Pandas, FastAPI, SQLAlchemy). * Strong SQL and modern data warehouse experience (BigQuery preferred). * Real ranking and matching modeling fluency - learning-to-rank ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

... FastAPI, Django preferred). • Experience creating human and automated evals to ensure high AI model quality. • Proficient in big data tools such as Apache Spark and Hadoop. • Deep experience ...

Klaviyo

Senior AI Engineer - Customer Agent

Boston, MA · On-site

$113K - $155K/yr

... FastAPI, Django preferred). • Experience creating human and automated evals to ensure high AI model quality. • Proficient in big data tools such as Apache Spark and Hadoop. • Deep experience ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

... FastAPI, Django preferred). • Experience creating human and automated evals to ensure high AI model quality. • Proficient in big data tools such as Apache Spark and Hadoop. • Deep experience ...

Catalyst Labs

ML Engineer

Boston, MA · On-site

Preferred : • Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. Company : Welcome to Catalyst Labs - Powering Catalytic Growth At Catalyst Labs ...

Generalist

Software Engineer: Product

Somerville, MA · On-site

Typescript, React, FastAPI, Postgres, AWS * Understand how to expertly manage and leverage modern AI coding agents to accelerate development while maintaining high quality production standards About ...

Motion Recruitment

Senior Frontend Engineer

Natick, MA · On-site

$126K - $174K/yr

... FastAPI • Experience improving performance and accessibility standards • Familiarity with CI CD pipelines and development tooling • Experience collaborating with distributed or global teams • ...

Recorded Future

Principal Data Engineer

Boston, MA · On-site

$152K - $228K/yr

Flask, Django, FastAPI) * Architecting and delivering production-grade applications and ETL/ELT pipelines * Applying statistical techniques to draw accurate, impactful conclusions * Leadership ...

Farsyt

Software Engineer

Cambridge, MA · On-site

Technical Stack Python (Django/DRF, FastAPI), React/TypeScript, PostgreSQL, Redis, Celery, AWS, Gemini/OpenAI/Anthropic APIs, Pydantic AI/LangChain, Docker You don't need experience with everything ...

Redfish Recruiting

Proficiency in Python (FastAPI), TypeScript (Next.js), PostgreSQL, AWS, Docker. Experience with LLM APIs (e.g., GPT, Claude) and/or vector DBs (e.g., Pinecone) is a big plus. * Product Mindset

The Hollister Group

AI Developer

Boston, MA · On-site

$70 - $110/hr

Develop and maintain Python-based AI applications and APIs using frameworks like FastAPI, Flask, or LangChain. * Integrate observability and model monitoring solutions using Prometheus, CloudWatch ...

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$128.2K

$144.8K

$163.6K

How much do fastapi jobs pay per year?

As of Sep 10, 2026, the average yearly pay for fastapi in Massachusetts is $144,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,315.00 and $150,188.00 per year, depending on experience, location, and employer.

What is a FastAPI?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

What are the typical daily responsibilities of a FastAPI developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What are the key skills and qualifications needed to thrive in the FastAPI position, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the most commonly searched types of Fastapi jobs in Massachusetts?

The most popular types of Fastapi jobs in Massachusetts are:

What are popular job titles related to Fastapi jobs in Massachusetts?

For Fastapi jobs in Massachusetts, the most frequently searched job titles are:

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Fastapi jobs near you
Infographic showing various Fastapi job openings in Massachusetts as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, 1% Temporary, and 6% Contract. Highlights an 73% Physical, 8% Hybrid, and 19% Remote job distribution, with an average salary of $144,824 per year, or $69.6 per hour.

Founding Machine Learning Engineer

Boston, MA • On-site

OneScreen
See more jobs at OneScreenexternal

Full-time

Re-posted 27 days ago

Job description

About Onescreen
Onescreen is the modern platform for out-of-home advertising - making it easier for brands and agencies to plan, buy, and measure OOH campaigns across thousands of vendors and formats. We move fast, operate lean, and hold ourselves to a high standard on every campaign we run.
About the role
You'll be the founding ML engineer who owns our matching algorithms from exploration through production and the data platform that feeds them. You'll design and ship the models that rank OOH inventory against advertiser personas, markets, and dayparts. You'll own our data warehouse shape and the pipelines that fill it. You'll publish the ranking and matching APIs that downstream products, agents, and automation surfaces consume.
What you'll do
  • Design and ship matching and ranking models for OOH inventory: candidate generation, re-ranking, geospatial-aware scoring.
  • Own the data warehouse layer end to end: staging, marts, feature pipelines, freshness, lineage.
  • Stand up offline and online evaluation infrastructure - measure the gap between them, don't assume it.
  • Publish ranking and matching APIs for product surfaces, with latency and quality SLOs.
  • Instrument model monitoring: drift detection, prediction distribution, feature freshness, retraining triggers.

Qualifications
The hard requirement: you have owned a production ranking, matching, or recommendation system end-to-end. You chose the model, designed the features, made the evaluation methodology calls, and were on the hook when it drifted. We care about that ownership scope more than years on a résumé - title and compensation are scaled to your demonstrated expertise.
Beyond that:
  • Strong production Python (NumPy, Pandas, FastAPI, SQLAlchemy).
  • Strong SQL and modern data warehouse experience (BigQuery preferred).
  • Real ranking and matching modeling fluency - learning-to-rank, retrieval and re-rank patterns, not just classification.
  • Evaluation methodology rigor: holdouts, leakage prevention, online vs. offline gap measurement.
  • Comfort owning the data pipeline as well as the model.
  • Bias toward shipping. Clear writer. Self-directed.
Nice to have
  • Geospatial data experience (H3, PostGIS, GeoPandas)
  • Mobility or location data experience
  • Embedding-based retrieval (pgvector, FAISS, vector databases)
  • Bandits, contextual bandits, or online learning
  • A/B testing infrastructure design
  • Causal inference
  • dbt
  • Ad-tech or OOH domain familiarity

Apply