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Remote Deep Learning Engineer Jobs in Colorado (NOW HIRING)

Senior Platform Engineer

Denver, CO ยท On-site +1

$107K - $147K/yr

... deep appreciation for our customers' mission and end users' priorities. We build for scale ... Remote: Quarterly travel for team meetings. What You'll Do * Solution Ownership: Collaborate with ...

Water & Wastewater Engineer

Denver, CO ยท On-site +1

$100/hr

We remain open to remote work options for applicants whose background and performance standards ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Water & Wastewater Engineer

Denver, CO ยท On-site +1

$100/hr

We remain open to remote work options for applicants whose background and performance standards ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Water & Wastewater Engineer

Denver, CO ยท On-site +1

$100/hr

We remain open to remote work options for applicants whose background and performance standards ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Senior IAM Engineer

Denver, CO ยท Remote

$107K - $147K/yr

Senior IAM Engineer | USA | Pax8 | Remote As a senior member of Pax8's internal Technology Services ... Deep experience with cloud platforms such as Azure, AWS, or GCP. * Hands-on experience with ...

Location- Remote, west coast based Reports to the Sr. Director, Engineering- Enterprise Travel is ... Strategic Technical Leadership: build deep relationships with executive and technical stakeholders ...

Senior Numerical Algorithm Software Engineer

Boulder, CO ยท On-site +1

$127K - $167K/yr

Advance modeling, simulation, and machine learning toolchains, including development of reusable ... Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or ...

Senior IAM Engineer

Denver, CO ยท On-site +1

$107K - $147K/yr

Senior IAM Engineer | USA | Pax8 | Remote As a senior member of Pax8's internal Technology Services ... Drive continuous learning and mentor engineers by sharing automation patterns, integration ...

... deep dives as needed * Contribute to lab infrastructure planning and ensure test environments ... However, we are open to remote candidates who meet the qualifications and can work effectively from ...

Software Engineer

CO ยท On-site +1

Remote, United States Workplace Type: Remote About the Role We are seeking a mid-level Software ... Our team operates lean, leveraging a combination of deep engineering expertise and AI-assisted ...

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Remote Deep Learning Engineer information

See Colorado salary details

$11.6K

$88.2K

$147.2K

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

As of Jul 10, 2026, the average yearly pay for remote deep learning engineer in Colorado is $88,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,700.00 and $146,200.00 per year, depending on experience, location, and employer.

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.
What are popular job titles related to Remote Deep Learning Engineer jobs in Colorado? For Remote Deep Learning Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning Engineer jobs in Colorado look for? The top searched job categories for Remote Deep Learning Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Deep Learning Engineer jobs? Cities in Colorado with the most Remote Deep Learning Engineer job openings:
Infographic showing various Remote Deep Learning Engineer job openings in Colorado as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $88,207 per year, or $42.4 per hour.
Electrical Engineer - Mid Level - Substation Physical Design Focus (Hybrid/Remote)

Electrical Engineer - Mid Level - Substation Physical Design Focus (Hybrid/Remote)

Barr

Denver, CO โ€ข On-site, Remote

$92K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

The role - what you'll do

Barr is seeking a substation physical design engineer to join our electrical engineering team. In this hybrid role, you will support the Engineering and Design business unit in interfacing with clients on the development of substation physical design deliverables for utility upgrades, including greenfield/brownfield substations, wind facilities, and developer interconnection facilities. You will interface with clients, be responsible for understanding client and internal standards, and develop deliverables for projects on time and within the budget.

A successful person in this role will have strong interpersonal, oral, and written communication skills. They must possess a flexible working style and be willing to occasionally modify their schedule to meet deadlines and/or client needs. They must be able to work cooperatively in a project team environment that encourages self-initiative and demonstrate effective project organization and management skills.

Your impact - key responsibilities

  • Technical knowledge: substation and switching station physical design; substation general arrangement drawings; substation elevation views; bill of materials; equipment layout; conduit layout; calculations including grounding analysis and design, cable, conduit, and transformer, sizing, lightning protection, and bus bracing; and specification preparation.

  • Project management: assist in planning, coordinating, and executing projects. Help ensure project milestones are met and provide regular updates to team members and clients.

  • Staff development: support the growth and development of team members.

  • Collaboration: build and sustain strong relationships with clients and internal teams. Collaborate across disciplines to align technical approaches with client goals while contributing to a positive, inclusive team culture.

About you - required core competencies

  • Education: bachelor's degree in electrical engineering or a related field.

  • Experience: 5 years of relevant experience related to the job responsibilities described above.

  • Licenses/certifications: Professional Engineer (PE) certification or ability to obtain within one year.

  • Software: Power Systems Analysis experience (SKM, EasyPower, ETAP).

  • Driver's license: possession of a current, valid driver's license and acceptable driving record.

  • Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.

Helpful additional experience (not required)

  • 10+ years of experience at a consulting engineering or industrial company.

  • Experience working directly with clients.

  • Familiarity with industry codes and standards (NEC, NESC, IEEE, NFPA).

About the opportunity

  • Hybrid: A hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position can be based out of Barr's Denver or Fort Collins, CO, Minneapolis, Duluth or Hibbing, MN, Grand Rapids or Ann Arbor, Michigan, Bismarck, ND, or Salt Lake City, UT offices.

  • Remote: a remote work arrangement may be considered for this position. A remote arrangement refers to working primarily from a home office. Remote arrangements will be considered based on candidate qualifications, local regulations, and Barr's needs.

  • Travel expectation: Up to 10-15 percent domestic fieldwork.

  • Work environment: Ability to work in locations that feature the rough terrain typical of construction sites or require lifting or moving field testing equipment. Safety training will be provided prior to being given work assignments on these sites. Applicants may be asked to participate in a drug screening program at the request of specific clients. Candidates must be able to perform job duties with or without reasonable accommodation.

  • Compensation: Anticipated range of $92,000-125,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance. This position is classified as exempt (salaried) under the Fair Labor Standards Act.

#LI-Hybrid

#LI-Remote

Benefits - what we offer

We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career.

  • Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care

  • Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock

  • Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders

  • Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities

  • Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave

  • Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities

Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status.

About us - why choose Barr

At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service.

As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our success.

To learn more about Barr's culture and values, visit: https://www.barr.com/Careers/Our-culture

Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.