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Remote Machine Learning Engineer Jobs in Pittsburgh, PA

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

Our team consists of highly motivated individuals who are passionate about learning, understanding ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Ideology LLC

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Our team consists of highly motivated individuals who are passionate about learning, understanding ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Motional

Principal Technical Lead Manager

Pittsburgh, PA · On-site +1

$176K - $242K/yr

... loops for machine learning (ML) engineers, improve the performance and adaptability of our ... Experience leading a team of engineers working in both office and remote environments * Proven ...

New

Epistemix

Data Scientist

Pittsburgh, PA · Remote

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Varsity Tutors

Python Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Latitude AI

Senior Hardware Engineer, Radar

Pittsburgh, PA · On-site +1

$107K - $143K/yr

When you join the Latitude team, you'll work alongside leading experts across machine learning and ... Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto ...

Waabi

Research Engineer, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

As a Research Engineer in the World Models team, you will develop algorithms and productionize the ... You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or ...

Waabi

Research Engineer, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

As a Research Engineer in the World Models team, you will develop algorithms and productionize the ... You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or ...

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Showing results 41-60

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

Remote Machine Learning Engineer information

See Pittsburgh, PA salary details

$30.6K

$125K

$187.9K

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

As of Sep 4, 2026, the average yearly pay for remote machine learning engineer in Pittsburgh, PA is $125,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $150,500.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Pittsburgh, PA?

The most popular types of Machine Learning Engineer jobs in Pittsburgh, PA are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Pittsburgh, PA?

For Remote Machine Learning Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Remote Machine Learning Engineer jobs?

Cities near Pittsburgh, PA with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $125,011 per year, or $60.1 per hour.

Sr. Data Engineer (Snowflake)

Data Ideology

Pittsburgh, PA • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago

Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients.  Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results.  Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious.  For more information about Data Ideology, visit www.dataideology.com.
Sr. Data Engineer -  (Snowflake)
Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client-facing, consultative role that blends solution design with hands-on delivery. You will work directly with clients and our internal teams to design, implement, and optimize modern data platforms in Snowflake.
This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery of high-quality implementations. While you will occasionally support the scoping of new projects, this is not a sales role — your primary focus will be on technical execution, solution architecture, and delivery leadership.
Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily.  Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.  Other duties may be assigned to meet business needs.

  • Design and build scalable, secure, and cost-effective data solutions in Snowflake.
  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services.
  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.
  • Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs).
  • Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management.
  • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake.
  • Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks.
  • Contribute to internal accelerators, frameworks, and proofs of concept.
  • Mentor junior engineers and support knowledge sharing across the team.
Supervisory Responsibilities: None
Qualifications:
Education and Experience:
  • 7+ years of experience in data engineering, data warehousing, or data architecture.
  • 3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.).
  • Strong SQL and Python skills, with production experience using dbt.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.).
  • Prior experience in a consulting or client-facing delivery role.
  • Excellent communication skills, with the ability to collaborate across technical and business stakeholders.
  • Preferred - SnowPro Certification
Work Environment:
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands:
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers.  Must be able to exchange accurate information in these situations.
Benefits:
  • Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.
Data Ideology is an EEO Employer

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