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Remote Machine Learning Software Engineer Jobs in Pittsburgh, PA

Varsity Tutors

Machine Learning Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

PNC Bank

Software Engineer Sr

Pittsburgh, PA · On-site +1

$118K - $156K/yr

Senior Software Engineer - RTB (Production Support) Asset Management Group (AMG) | Software ... remote work in select geographic locations, subject to approval by PNC. If approved, work must be ...

Karoo Health

Senior Software Engineer

Pittsburgh, PA · On-site +1

$150K - $175K/yr

As a software engineer at Karoo Health, you show a clear passion for quality and love to bring ... Possibly fully remote work environment with flexible hours * Health benefits, learning stipends ...

Epistemix

Senior Back End Software Engineer

Pittsburgh, PA · Remote

$125K - $165K/yr

Our software engineers at Epistemix show a clear passion for quality and love to bring software to ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Air

Forward Deployed Software Engineer

Pittsburgh, PA · On-site +1

As a Forward Deployed Software Engineer at Air, you are accountable for building new and ... or Remote. This role may require up to 50% travel. Scope of Responsibilities * Conduct customer ...

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All JobsMachine Learning Software Engineer JobsRemote Machine Learning Software Engineer JobsRemote Machine Learning Software Engineer Jobs in Pittsburgh, PA

Remote Machine Learning Software Engineer information

See Pittsburgh, PA salary details

$61.6K

$143.2K

$199.5K

How much do remote machine learning software engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote machine learning software engineer in Pittsburgh, PA is $143,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $168,000.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning software engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-demand industries or companies. Achieving this salary often requires a strong educational background, specialized certifications, and a track record of successful projects or leadership roles.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can handle certain tasks, MLEs are essential for creating complex, customized solutions and maintaining AI systems. The role is expected to evolve with advancements in AI, but human expertise remains critical for innovation and ethical considerations.

What engineer makes $500,000 a year?

Senior machine learning software engineers with extensive experience, specialized skills, and advanced knowledge of AI frameworks can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise in developing complex models and deploying scalable AI solutions.

What is the difference between Remote Machine Learning Software Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Software EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, coding, deploying algorithmsAnalyzing data, building models, interpreting results
Industry UsageTech, finance, healthcare, e-commerceTech, finance, healthcare, research institutions

While both roles involve working with data and algorithms, Remote Machine Learning Software Engineers focus on developing and deploying machine learning models through coding, whereas Remote Data Scientists analyze data to extract insights and build statistical models. Both roles often collaborate but serve different primary functions within organizations.

Can ML engineers work remotely?

Yes, remote work is common for machine learning engineers, especially as many companies adopt flexible work arrangements. ML engineers often collaborate using cloud platforms, version control, and communication tools, making remote work feasible with the right skills and environment.
What are popular job titles related to Remote Machine Learning Software Engineer jobs in Pittsburgh, PA? For Remote Machine Learning Software Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
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Remote Machine Learning Software Engineer jobs near you

Software Engineer, Labelling, Data & Automation

Waabi

Pittsburgh, PA • On-site, Remote

$127K - $225K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 24 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology.  The Labelling & Data Automation team plays a critical role in Waabi's training pipeline.  We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers.
 

You will..

- Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator. 

- Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected

- Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system

- Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects

- Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement

- Deploy open-set / embedding models to our production environment - empowering new search and curation modalities

- Champion engineering excellence, ensuring high-quality, well structured, and tested code.

- Contribute to project roadmap planning, prioritization, and delivery.

 

Qualifications: 

- 4+ years of industry experience.

- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.

- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.  

- A willingness and ability to learn new skills, technologies, and software libraries as required. 

- Strong experience with data pipelines for large-scale processing and analysis.

- Strong communication and organizational skills 

- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.

- Open-minded and collaborative team player with the willingness to help others.

- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus Points:

- Experience with ML pipelines, including dataset curation, labelling, training and evaluation. 

- Previous experience in self-driving technology or related fields.

- Familiar with linear algebra (projections, transforms) and 3D geometry.

- Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).

- Experience with with front end development

- Experience working with open-set / embedding models and deploying them in a production setting

- Experience working with infra as code (Terraform, CloudFormation, etc)

The US yearly salary range for this role is: $127,000 - $225,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.


Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
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.
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