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Commission Medical Machine Learning Jobs (NOW HIRING)

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

... medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to ... The amount and availability of any bonus, commission, incentive, benefits, or any other form of ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... sales commissions). The final offer amount will depend on several factors, including geographic ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

... medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to ... The amount and availability of any bonus, commission, incentive, benefits, or any other form of ...

Apple Inc.

Machine Learning FEA Engineer

San Francisco, CA · On-site

$150.40 - $277.60/hr

Benefits include comprehensive medical and dental coverage, retirement benefits, a range of ... This role may be eligible for discretionary bonuses or commission payments as well as relocation.

Apple Inc.

Machine Learning Engineer- GenAI

San Diego, CA · On-site

$150.40 - $277.60/hr

Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In ... Medical, dental, and vision coverage * Generous PTO and flexible hybrid work model * 401(k) with ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In ... Medical, dental, and vision coverage * Generous PTO and flexible hybrid work model * 401(k) with ...

Paylocity

Machine Learning Engineer

We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

Paylocity

Machine Learning Engineer

Schaumburg, IL · On-site

We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

... for Machine Learning Engineers to help make it autonomous. We're not a software company selling ... Mariana designs, builds, commissions, and operates our own mines and refineries. We develop ...

Apple Inc.

Machine Learning Engineer (Search)

Cupertino, CA · On-site

$147.40 - $220.90/hr

You'll also receive benefits including comprehensive medical and dental coverage, retirement ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Stripe

Machine Learning Engineer

South San Francisco, CA · On-site +1

$212K - $318K/yr

Designing, training and evaluating machine learning models; * Productionizing and deploying machine ... or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness ...

New

Stripe

Machine Learning Engineer

South San Francisco, CA · On-site

$212K - $318K/yr

Designing, training and evaluating machine learning models; * Productionizing and deploying machine ... or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness ...

New

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Commission Medical Machine Learning information

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How much do commission medical machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for commission medical machine learning in the United States is $65.38, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $71.15 per hour, depending on experience, location, and employer.

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Commission Medical Machine Learning jobs near you

Machine Learning Engineer

Solution Design Group

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

SDG is a high-performance software community. We are a team of collaborative and creative consultants who build and deliver custom software for some of the most recognizable local and national brands. In this role, you will be asked to leverage your current skills while also learning new ones. Working in over 500 different technologies and continually learning together, you can expect a one-of-a-kind and award-winning work experience. Our team at SDG has exceptional integrity and the desire to create the best possible customer solutions. We are proud to partner with our customers to consistently provide a successful working relationship as a high-performance team.
We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our customer's products and services. You will be a part of a tight-knit technical community, giving you the opportunity to constantly grow your development amongst top technical talent. You will work closely with a cross-functional team of data scientists, software engineers, and domain experts to drive the development and deployment of machine learning solutions. SDG is looking for a hard worker with a team-oriented mindset, that has at least 3 years of experience and an in-depth understanding of machine learning and cloud data tools. A successful Machine Learning Engineer at SDG is a lifelong learner who is motivated to continually improve their craft and thrives amongst their fellow employee-owners.
SDG's Machine Learning Engineer's have proven experience with the following responsibilities. If you do too, we want to hear from you:
  • Design, implement, and optimize machine learning algorithms and models to address specific business challenges.
  • Collaborate with data engineers to preprocess and transform raw data into a format suitable for machine learning models. Conduct feature engineering to extract relevant information for model training.
  • Train, validate, and fine-tune machine learning models using state-of-the-art techniques. Evaluate model performance and iterate on models to improve accuracy and efficiency.
  • Deploy machine learning models into production environments and integrate them into existing systems. Collaborate with software engineers to ensure seamless integration with our products.
  • Stay abreast of the latest developments in machine learning and related fields. Proactively identify opportunities to enhance existing models and propose new approaches to solve business problems.

Requirements:
  • 3+ years of hands-on, professional machine learning development experience, delivering solutions in a large scale enterprise environment
  • Experience with Public Cloud Providers such as AWS and Microsoft Azure
  • Experience with AWS and/or Azure data tools and services
  • Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub Copilot) to increase development velocity, improve code quality, and support complex problem-solving
  • Strong understanding of data processing, data engineering, and data visualization.
  • Experience with SQL and NoSQL databases
  • Proficient in programming languages such as Python and R
  • Familiarity with big data technologies such as Apache Spark
  • Experience with Machine Learning frameworks such as TensorFlow or PyTorch
  • Ability to work effectively in a collaborative, cross-functional team environment. Excellent communication skills and the ability to explain complex concepts to both technical and non-technical stakeholders.
  • Strong analytical and problem-solving skills. Proven ability to tackle complex problems and deliver robust machine learning solutions.
  • Prior consulting or professional services experience is a bonus
  • Education degree or certification in Computer Science, or the equivalent related work experience

What's in it for you?
  • Full-time salaried consultant position
  • A true stake in success. SDG is an ESOP - 100% employee owned
  • Star Tribune Top Workplace winner the last 7 consecutive years
  • National Top Workplace in 2023, 2024 & 2025
  • Engaged teammates who care about quality solutions
  • Challenging and rewarding work with great customers
  • Various opportunities to give back to the community
  • Be amongst some of the best technologists in the industry
  • Dedicated to our core values of superior customer service, exceptional employee experience, and responsible corporate citizenship
  • Opportunities to connect with other SDGer's via internal communities, committees, and events - virtually and in person

SDG is proud to offer an array of benefits for our employees including but not limited to medical, dental, and vision insurance benefits, paid time off, paid holidays, short and long-term disability, life insurance options, a monthly technology reimbursement allowance, 401k, birth and non-birth parent leave, ESOP, trainings and certifications, and company-owned cabins. Fair and equitable compensation is important to us. The salary range for this opportunity is $130,000 - $170,000. The offer may fall outside this range given factors such as skills and experience. The salary range is subject to change and may be modified at any time.
Applicants must be authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
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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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