2

Machine Learning Teaching Remote Jobs in Colorado

Data Scientist - TrainingPeaks

Louisville, CO ยท On-site +1

$94K - $158K/yr

Conduct exploratory data analyses and proof-of-concept machine learning models to understand ... self-teaching and more. Desired Qualifications: * M.S. or Ph.D. in computer science, statistics ...

Senior AI/ML Engineer

Almont, CO ยท Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration ...

We use machine learning and real-world data to develop cybersecurity, device intelligence , network ... This position is fully remote. We are hiring across the US, UK, and Canada. In This Role, You Will:

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 Numerical Algorithm Software Engineer

Boulder, CO ยท On-site +1

$128K - $170K/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 ...

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

No prior AI or machine learning experience required Requirements * Bachelor's degree in Business ... Fully remote and flexible - work when and where it suits you * Freelance autonomy with the ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... AI and machine learning applications, ensuring data is structured and documented for model ...

Senior Data Platform Engineer

Littleton, CO ยท Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... AI and machine learning applications, ensuring data is structured and documented for model ...

next page

Showing results 1-20

Machine Learning Teaching Remote information

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

To thrive as a remote Machine Learning Teacher, you need a strong grasp of machine learning concepts, algorithms, and programming (often with a background in computer science or a related field). Familiarity with tools such as Python, Jupyter Notebooks, TensorFlow, and relevant online teaching platforms or Learning Management Systems is essential. Excellent communication, patience, and the ability to explain complex concepts clearly are vital soft skills for engaging remote learners. These skills ensure that students receive high-quality instruction and support, making advanced topics accessible and fostering effective learning in a virtual environment.

What are the main challenges of teaching machine learning remotely, and how can they be addressed?

One of the main challenges of teaching machine learning remotely is ensuring student engagement and comprehension, especially with complex concepts and hands-on programming tasks. In a remote setting, it's important to leverage interactive tools, frequent check-ins, and collaborative platforms to maintain student participation and provide timely feedback. Additionally, clear communication and well-structured materials help bridge the gap that physical presence often fills. Successful remote instructors often schedule virtual office hours and foster online discussion forums to support students effectively.

What is a Machine Learning Teaching Remote job?

A Machine Learning Teaching Remote job involves instructing students or professionals on machine learning concepts and techniques through online platforms. Educators in this role design and deliver course materials, lead virtual lectures or workshops, and provide feedback on assignments. The position typically allows for flexible work from home and may include mentoring, curriculum development, and staying updated with the latest trends in machine learning. It is ideal for those with expertise in machine learning and a passion for teaching, who are comfortable using digital communication tools.
What are popular job titles related to Machine Learning Teaching Remote jobs in Colorado? For Machine Learning Teaching Remote jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Machine Learning Teaching Remote jobs in Colorado look for? The top searched job categories for Machine Learning Teaching Remote jobs in Colorado are:
What cities in Colorado are hiring for Machine Learning Teaching Remote jobs? Cities in Colorado with the most Machine Learning Teaching Remote job openings:
Data Scientist - TrainingPeaks

Data Scientist - TrainingPeaks

Peaksware

Louisville, CO โ€ข On-site, Remote

$94K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago


Job description

Company Information

Join the Team Powering the World's Best Endurance Athletes

At TrainingPeaks, we believe that behind every great athlete is a great coach and the right technology to help them reach their potential. Our platform is trusted by Tour de France winners, Olympic gold medalists, and everyday endurance athletes to plan, track, and analyze their training. Whether you're a performance-driven athlete, a passionate coach, or someone who simply thrives on building tools that empower others, TrainingPeaks is where ambition meets impact.

As part of the Peaksware portfolio, consisting of brands like TrainingPeaks, MakeMusic, Alfred Music, TrainHeroic, we're united by a shared mission: to create software that transforms deliberate practice into performance. At Peaksware, we don't just build products. We build communities of motivated people chasing progress, including athletes, musicians, performers, and the teams that support them.

General Summary

Join TrainingPeaks as a Data Scientist and be at the forefront of revolutionizing endurance coaching. You'll harness 30 years of rich athlete and coach data to build next-generation AI and machine learning tools that empower the world's most elite performers. In this role, you won't just analyze numbers, you'll lead high impact projects from ideation through production, partnering with engineers, product managers, and domain experts to bring game changing features to life.

If you're passionate about turning data into action, excited by complex, real-world problems, and eager to innovate in one of the most dynamic domains in sports technology, we'd love for you to apply. This is your opportunity to help shape the future of training for athletes and coaches around the world.

Core Functions:ย 

  • Conduct exploratory data analyses and proof-of-concept machine learning models to understand opportunities and potential project impact.
  • Collaborate with cross-functional partners, such as product and engineering to design effective and safe Machine Learning and AI solutions.
  • Train and iterate on models, thinking critically about tradeoffs with model complexity and novelty.ย 
  • Debug models when observability shows performance gaps, and iterate on models.
  • Work on cutting edge modeling technology and take the opportunity to rethink every element of the coach and athlete experience.
  • Interface with customers to understand their needs and gather feedback regarding our models and products.
  • Stay up-to-date with the latest trends in Machine Learning and applied AI practices.
  • Perform other duties as assigned.

Requirements

Required Qualifications:ย 

  • 2+ years of experience as a Data Scientist or similar role.
  • Background in computer science, data science, statistics, applied mathematics, or similar technical fields.
  • Strong analytical thinking and problem-solving skills with a high attention to detail.
  • Experience with exploratory data analysis and model prototyping, using languages such as Python and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker.
  • Excellent written and verbal communication skills.
  • Ability to deal with ambiguity.

Degrees are not required and we value all forms of continued education including traditional four-year degrees, post-graduate degrees, associates degrees, bootcamps, online training, professional certifications, self-teaching and more.

Desired Qualifications:ย 

  • M.S. or Ph.D. in computer science, statistics, applied mathematics, data science, or similar technical fields.
  • Experience with our products and an understanding of endurance sports.
  • Experience implementing machine learning algorithms in the cloud (AWS).
  • Familiarity with LLM concepts such as prompt engineering and evaluation frameworks

Benefits

Compensation:

We are committed to fair and equitable compensation practices. The salary range for this role in Colorado is $94,874 - $158,124. Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, certifications, and geographic location. This role is eligible for variable compensation including bonus.

Benefits and Perks:

Health

  • We offer comprehensive health benefits including medical, dental, and vision insurance; health savings and flexible spending accounts, paid parental leave; and an employee assistance program.
  • Additional coverage options including Accident & Critical Illness insurance as well as Hospital Indemnity are also available.

Disability and Life

  • We offer several company paid options including Short Term Disability, Long Term Disability, as well as Basic Life Insurance and AD&D.
  • Additional coverage options including Employee-paid Supplemental Life Insurance for Employee, Spouse, and/or Child are also available.

Additional

  • We offer a 401(K) including a company match.
  • We observe 12 paid holidays annually and provide discretionary Flexible Time Off. Employees also receive free access to our products, corporate discounts, and professional development resources.
  • Access to the Performance and Recovery Center (PARC), our on-site fitness facility, as well as employee only access to on-site locker rooms and showers.ย 
  • Employee only access to secure, indoor bike storage and access to e-bikes exclusively to Peaksware employees.
  • Access to our onsite Music and Podcast Studio.

If you require a reasonable accommodation to review our website or to apply online, please fill out our Candidate Accommodations Request Form.

Peaksware adheres to the FLSA Exemption Threshold for minimum wage in all states.

Work Environment

This job operates in a professional office environment that is well-lighted, heated, and/or air-conditioned with adequate ventilation and a noise level that is usually moderate. This role routinely uses standard office equipment such as computers, phones, photocopiers and filing cabinets.

All employees must comply with all safety policies, practices and procedures. Report all unsafe activities to your manager and/or Human Resources. #LI-Hybrid

Physical Demands

While performing the duties of this job, the employee is regularly required to sit and move about the facility; use hands to handle, or feel; talk by expressing ideas by means of the spoken word; and hear by perceiving the nature of sounds. The employee is occasionally required to stand, walk, and reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

To view the Peaksware Privacy Policy, clickย . By submitting an application, you acknowledge and agree to the Peaksware Privacy Policy.

Recruiting Agency Notice:ย We do not accept agency resumes or assistance. Please do not forward resumes to our jobs alias or our employees. We are not responsible for any fees related to unsolicited resumes.