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Remote Python Engineer Jobs in Boston, MA (NOW HIRING)

Computational Design Research Engineer

Boston, MA ยท On-site +1

$100K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for someone who's strong technically, especially in Python and ML, but also has the ... Remote-first work environment โ€ข Fully funded company offsites and team gatherings โ€ข ...

Software Test Automation Engineer

Quincy, MA ยท On-site +1

$48.25 - $64/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Python, PySpark, Airflow, ETL. Adopt and implement the new automated tools and technologies which ... Hybrid remote telecommuting permitted pursuant to company policy. Minimum requirements: Bachelor ...

Machine Learning Engineer

Burlington, MA ยท Remote

$165K - $200K/yr

Implement machine learning algorithms in high-performance C++ and Python with a focus on ... S. government security clearance in the future.' This is NOT a fully remote position! Required ...

Showing results 41-60

Remote Python Engineer information

See Boston, MA salary details

$25K

$152.1K

$220K

How much do remote python engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote python engineer in Boston, MA is $152,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $178,700.00 per year, depending on experience, location, and employer.

What does a remote Python engineer do?

A Remote Python Engineer designs, develops, and maintains software applications using the Python programming language, all while working from a remote location. Their responsibilities typically include writing efficient code, troubleshooting issues, collaborating with team members through online tools, and integrating third-party APIs or libraries. They may work on web development, automation scripts, data analysis, or backend services depending on the company's needs. Remote Python Engineers must have strong communication skills and be comfortable using project management and version control tools like Git. This role is ideal for those who want the flexibility of working from home while contributing to software projects.

What are some common challenges faced by remote Python engineers, and how can they be overcome?

Remote Python Engineers often encounter challenges such as effective communication across time zones, maintaining productivity outside a traditional office, and ensuring code quality in distributed teams. To overcome these, it's helpful to use collaborative tools like Slack and GitHub, participate in regular virtual meetings, and follow clear coding standards. Actively documenting your work and reaching out proactively to teammates can also foster a sense of connection and streamline project workflows.

What are the key skills and qualifications needed to thrive as a remote Python engineer, and why are they important?

To thrive as a Remote Python Engineer, you need a strong command of Python programming, experience with software development best practices, and familiarity with frameworks like Django or Flask, often supported by a relevant degree or equivalent experience. Proficiency in version control systems such as Git, cloud platforms like AWS or Azure, and continuous integration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial for effective collaboration in a remote environment. These skills ensure high-quality code delivery, efficient teamwork across distributed teams, and successful project outcomes.

What is the difference between Remote Python Engineer vs Remote Data Scientist?

AspectRemote Python EngineerRemote Data Scientist
Required SkillsPython, APIs, software developmentPython, statistics, machine learning
Work EnvironmentSoftware development teams, coding, debuggingData analysis, modeling, research
Industry UsageTech, startups, software companiesFinance, healthcare, tech

While both roles require Python skills, Remote Python Engineers focus on building and maintaining software applications, whereas Remote Data Scientists analyze data and develop models. The roles often overlap in Python proficiency but differ in their core responsibilities and industry applications.

What are popular job titles related to Remote Python Engineer jobs in Boston, MA?

For Remote Python Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Python Engineer jobs in Boston, MA look for?

The top searched job categories for Remote Python Engineer jobs in Boston, MA are:

Computational Design Research Engineer

Foundation EGI

Boston, MA โ€ข Remote

$100K - $140K/yr

Full-time

Re-posted 12 days ago


Job description

REQUIRED: MUST have experience with Code Development + Computational Design and/or Geometry Processing. Applicants will not be considered without this experience.
 
About Us:
 
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
 
 

On this Role:

This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum it’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is taking complex geometry, design workflows, and simulation data and figuring out how to turn that into something an AI system can actually understand and use.

We’re looking for someone who’s strong technically, especially in Python and ML, but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you’re comfortable moving between theory and practical application. If you’ve spent time around mechanical systems or engineering design, that’s a big plus, because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day.

 
Responsibilities
  • Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
  • Build services for reading, processing, and writing 2D/3D engineering data.
  • Develop rendering modules for generating 2D/3D visual assets.
  • Curate and manage large-scale datasets for learning-based systems.
  • Implement and optimize post-training workflows for machine learning models.
  • Contribute to the development of domain-specific languages for engineering tasks.
What we are looking for
  • 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
  • Proficient in writing clean, modular, and maintainable Python code.
  • Experience with dataset creation and data pipeline development.
  • PhD or MS with a focus in Computational Design, Simulation, or AI.
  • Experience developing CAD/CAM/CAE software tools.
  • Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning.
  • Experience designing or implementing DSLs or compilers.

This range represents base compensation only and is intended to provide flexibility for candidates with varying levels of experience, expertise and demonstrated impact. Final compensation will be determined based on factors including skills, experience, location,and overall alignment with the role.

In addition to base salary, eligible employees may receive:

• Equity participation in the company's long-term success
• Comprehensive benefits package including medical, dental and vision coverage
• Retirement savings benefits
• Generous paid time off and company holidays
• Remote-first work environment
• Fully funded company offsites and team gatherings
• Professional development and learning opportunities
• Home office support and remote work resources

We believe compensation should grow alongside impact. Our salary ranges are intentionally designed to provide room for career progression, increased scope of responsibility and continued growth within Foundation EGI.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.