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Evening Machine Learning Teaching Jobs in Colorado

TSG

AI/ML Engineer (TS/SCI with CI Poly) {S}

Aurora, CO · On-site

$200K/yr

... teach their craft. We have multiple positions available and welcome all experience levels ... MS or PhD in machine learning, computer science, mathematics, or relevant fields * Experience ...

New

ARKA

AI/ML Engineer (TS/SCI with CI Poly) {S}

Aurora, CO · On-site

$200K/yr

... teach their craft. We have multiple positions available and welcome all experience levels ... MS or PhD in machine learning, computer science, mathematics, or relevant fields * Experience ...

New

DeLine Box and Display

Machine Operator

Denver, CO

$17.75 - $21.25/hr

Ensure all staff on the machine are following and complying with health/safety rules and ... when learning or teaching new things. * Mathematics - Knowledge of industrial math including ...

DeLine Box & Display

Machine Operator

Denver, CO · On-site

$20 - $28/hr

Ensure all staff on the machine are following and complying with health/safety rules and ... when learning or teaching new things. * Mathematics - Knowledge of industrial math including ...

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All JobsEvening Machine Learning Teaching JobsEvening Machine Learning Teaching Jobs in Colorado

Evening Machine Learning Teaching information

What is the difference between Evening Machine Learning Teaching vs Evening Data Science Tutoring?

AspectEvening Machine Learning TeachingEvening Data Science Tutoring
CredentialsTypically requires knowledge of machine learning algorithms, programming, and possibly a degree in computer science or related fieldsRequires understanding of data analysis, statistics, and data science concepts, often with a background in statistics or data analysis
Work EnvironmentTeaching in classrooms, online platforms, or workshops focused on machine learning topicsOne-on-one or group tutoring sessions, often online or in-person, focused on data science skills
Employer & Industry UsageEducational institutions, online course providers, tech companies offering training programsPrivate tutoring services, online platforms, educational institutions

While both roles involve teaching technical skills in the evening, Machine Learning Teaching focuses on algorithms and model development, whereas Data Science Tutoring emphasizes data analysis and statistical methods. The choice depends on your expertise and the specific audience you aim to serve.

What are the most commonly searched types of Machine Learning Teaching jobs in Colorado?

The most popular types of Machine Learning Teaching jobs in Colorado are:

What cities in Colorado are hiring for Evening Machine Learning Teaching jobs?

Cities in Colorado with the most Evening Machine Learning Teaching job openings:

Evening Machine Learning Teaching jobs near you

Staff Machine Learning Engineer - News, Books, and Stocks Team

Boulder, CO • On-site

Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Apple Inc.external

$194K - $292K/yr

Other

Medical, Dental, Retirement

Posted 12 days ago

Key responsibilities

  • Design and implement AI/ML models that process news, stocks, and books data to support features like recommendations and advanced search.

  • Develop datasets, design model architecture, and train or fine-tune machine learning models.

  • Drive the development of machine learning-enabled features from concept to delivery in collaboration with cross-functional teams.

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

Staff Machine Learning Engineer - News, Books, and Stocks Team

Boulder, Colorado, United States Software and Services

In a time where the news and book media landscapes are changing by the day, Apple News andApple Books stand as champions of quality content, expert curation, user privacy, and thejudicious use of machine learning.Our lively and brilliant distributed team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our careers!Our team's outstanding retention rate speaks to our strong culture of respect for our teammatesas both engineers and people.Would you like to work on such a team, solving hard problems in machine learning? Terrific!Please join us for the next generation of these apps!

Description

Our team is seeking a high-energy and self-driven machine learning engineer who will play acentral role in the delivery of scalable services. The team uses machine learning to tackledifficult and complicated problems in the news, books, and stocks domains, including textextraction, named entity recognition, duplicate detection, search, ranking, and much more! As amember of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcomingproducts that will delight and encourage millions of Apple’s customers every day!

Responsibilities
  • Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features.
  • Develop datasets, design model architecture, and prompt, train, or fine-tune models.
  • Partner with multi-functional teams at the intersection of technology and liberal arts to design and implement end-to-end machine learning enabled features.
  • Drive application features from concept, model design, and development all the way to delivery.
  • Lead highly cross-functional software projects.
  • Be part of our thriving machine learning community at Apple.
Minimum Qualifications
  • MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.
  • At least 5 years of experience shipping machine learning models in products.
  • Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.
  • Experience designing user-facing machine learning features with interdisciplinary partners.
  • Experience with recommender systems.
  • Experience with text-centric AI/ML (LLMs, document classification, search, etc.)
  • Experience delivering high quality software at scale.
  • Ability to communicate effectively and collaborate with partner teams.
  • Commitment to encouraging an open and inclusive work environment.
Preferred Qualifications
  • Experience in a technical leadership role.
  • Ph.D. in Machine Learning, Computer Science, or related field.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $194,700 and $292,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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