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Contract Apple Machine Learning Engineer Jobs in Minnesota

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

We consider the work that we do on our government contracts as one of the ways that we give back to ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

We consider the work that we do on our government contracts as one of the ways that we give back to ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

We consider the work that we do on our government contracts as one of the ways that we give back to ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · On-site

$119K - $122K/yr

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible for utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · Hybrid

$119K - $122K/yr

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible for utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine ...

New

Bespoke Labs

Machine Learning Engineer

Rochester, MN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Plymouth, MN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Duluth, MN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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All JobsContract Apple Machine Learning Engineer JobsContract Apple Machine Learning Engineer Jobs in Minnesota

Contract Apple Machine Learning Engineer information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as a senior machine learning engineer or AI research scientist, often in leading tech companies. These roles usually require advanced skills in deep learning, data analysis, and experience with tools like TensorFlow or PyTorch, and may include performance-based bonuses or stock options that contribute to the total compensation.

What are the key skills and qualifications needed to thrive as a Contract Apple Machine Learning Engineer, and why are they important?

To thrive as a Contract Apple Machine Learning Engineer, you need a strong background in computer science, mathematics, and deep learning, typically with a relevant degree and experience in building ML models. Proficiency with Python, TensorFlow or PyTorch, Apple's Core ML framework, and version control systems is commonly required. Strong problem-solving skills, collaboration, and effective communication help you navigate project requirements and work with cross-functional teams. These skills and experiences are crucial for delivering high-quality, scalable machine learning solutions that align with Apple's standards and rapidly evolving technology needs.

Which 3 jobs will survive AI?

For a Contract Apple Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction—such as AI ethics specialists, creative designers, and strategic consultants—are less likely to be fully replaced by AI. These jobs often involve nuanced judgment, emotional intelligence, and domain expertise that AI cannot replicate easily.

Will MLE be replaced by AI?

As a Contract Apple Machine Learning Engineer, the role involves designing and implementing ML models, which AI systems currently support but do not fully replace. Human expertise in model development, data analysis, and system integration remains essential, especially for complex tasks and ethical considerations. AI tools can augment the work of MLEs but are unlikely to fully replace the need for skilled engineers in the near future.

How much does Apple pay machine learning engineers?

Apple pays machine learning engineers an average salary ranging from $120,000 to $180,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with roles often requiring expertise in deep learning, data analysis, and programming in Python or Swift.

What are the common challenges faced by Contract Apple Machine Learning Engineers when integrating ML models into Apple’s ecosystem?

Contract Apple Machine Learning Engineers often encounter challenges such as ensuring seamless integration of machine learning models with Apple’s proprietary platforms like iOS, macOS, or Core ML. Adapting to Apple’s strict security, privacy standards, and performance requirements is essential, as is optimizing models for real-time performance on Apple devices. Collaborating effectively with cross-functional teams—such as software developers, designers, and QA engineers—is crucial to deliver scalable and user-friendly ML features within project timelines.

What are Contract Apple Machine Learning Engineers?

Contract Apple Machine Learning Engineers are professionals hired on a temporary or project basis to develop and implement machine learning models and algorithms specifically for Apple’s products and platforms. They typically work on tasks such as optimizing machine learning workflows for iOS, macOS, or other Apple technologies, and may collaborate closely with Apple’s in-house teams. Their responsibilities can include data preprocessing, model training, evaluation, and integration into Apple’s ecosystem. These engineers are expected to have expertise in machine learning frameworks, programming languages like Python or Swift, and a strong understanding of Apple’s development tools. Contract roles often provide flexibility but may require quick adaptation to Apple’s proprietary systems and high standards.
What are popular job titles related to Contract Apple Machine Learning Engineer jobs in Minnesota? For Contract Apple Machine Learning Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Contract Apple Machine Learning Engineer jobs in Minnesota look for? The top searched job categories for Contract Apple Machine Learning Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Contract Apple Machine Learning Engineer jobs? Cities in Minnesota with the most Contract Apple Machine Learning Engineer job openings:
Contract Apple Machine Learning Engineer jobs near you
Infographic showing various Contract Apple Machine Learning Engineer job openings in Minnesota as of July 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 50% Physical, and 50% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Solution Design Group

Minneapolis, MN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 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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