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Junior Machine Learning Engineer Jobs in Alaska (NOW HIRING)

Product Counsel Senior Director

Juneau, AK · On-site

$246K - $258K/yr

Engineering or other relevant technical degree and experience in software and/or other high technology industries. * Deep knowledge of and hands‑on experience with AI and machine learning legal ...

Builds, prototypes, and deploys machine learning models in production environments. * Collaborates ... Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ...

AI Data Scientist Sr.

Minto, AK · On-site

$120K - $160K/yr

Builds, prototypes, and deploys machine learning models in production environments. * Collaborates ... Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ...

Marine Mechanic I

Juneau, AK · On-site

$46 - $60/hr

... more junior marine engineering staff. Essential Duties & Responsibilities Marine Mechanic I ... Ability to safely operate machinery. * Advanced journey-level knowledge of and skill in practices ...

Marine Mechanic I

Sitka, AK · On-site

$46 - $60/hr

... more junior marine engineering staff. Essential Duties & Responsibilities Marine Mechanic I ... Ability to safely operate machinery. * Advanced journey-level knowledge of and skill in practices ...

Marine Mechanic I

Ketchikan, AK · On-site

$46 - $60/hr

... more junior marine engineering staff. Essential Duties & Responsibilities Marine Mechanic I ... Ability to safely operate machinery. * Advanced journey-level knowledge of and skill in practices ...

Marine Mechanic II

Sitka, AK · On-site

$35 - $45/hr

Lead, coach and assist junior team-members (Assistant Mechanics) with all job duties (oil/fuel ... Ability to safely operate machinery. * Journey-level knowledge of and skill in practices ...

Marine Mechanic II

Sitka, AK · On-site

$35 - $45/hr

Lead, coach and assist junior team-members (Assistant Mechanics) with all job duties (oil/fuel ... Ability to safely operate machinery. * Journey-level knowledge of and skill in practices ...

Learning & Development Opportunities * Inclusive and Diverse Team Environment Benefits may vary for ... large machinery, variations in temperature, noise, odors, humidity, lint and dust, in general ...

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Showing results 1-20

Junior Machine Learning Engineer information

See Alaska salary details

$36.1K

$77.3K

$117.9K

How much do junior machine learning engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for junior machine learning engineer in Alaska is $77,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,200.00 and $86,200.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and libraries such as TensorFlow or scikit-learn to support AI projects. This role often requires foundational knowledge of algorithms, programming, and data analysis.

How much does a junior machine learning engineer make?

A junior machine learning engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires advanced degrees, specialized certifications, and a strong track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. These positions usually involve leadership, strategic planning, and significant experience, and they tend to be found in large tech companies or specialized AI firms.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What are the most commonly searched types of Machine Learning Engineer jobs in Alaska? The most popular types of Machine Learning Engineer jobs in Alaska are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Alaska? For Junior Machine Learning Engineer jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Alaska look for? The top searched job categories for Junior Machine Learning Engineer jobs in Alaska are:
Infographic showing various Junior Machine Learning Engineer job openings in Alaska as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $77,324 per year, or $37.2 per hour.
Product Counsel Senior Director

Product Counsel Senior Director

Rocket Software

Juneau, AK • On-site

$246K - $258K/yr

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Job Description Summary

The Product Counsel Senior Director serves as the primary legal advisor to Rocket's product, engineering, and services teams, providing proactive and strategic legal counsel across the full product lifecycle. Principal duties include leading Rocket's responsible AI legal program, advising on product development, commercialization, and go-to-market strategies, and serving as a key legal resource on technology transactions including licensing, strategic partnerships, and M&A. The Product Counsel Senior Director also supports and leads, as appropriate, IP portfolio management, open source and SCA compliance, and export control matters. The role is expected to operate with significant autonomy and drive cross-functional legal initiatives, process improvements, and product and AI legal compliance programs across the organization.

Key Responsibilities
  • Lead Rocket’s AI legal program, including advising on AI-related development, training data sourcing and licensing, AI-generated output ownership, algorithmic accountability, and compliance with applicable and emerging AI regulations and frameworks globally.
  • Serve as the dedicated legal partner to product management, engineering, and AI/ML teams, providing embedded legal support across the product development lifecycle.
  • Develop, implement, and maintain product governance frameworks, including policies and processes related to AI/ML product risk, data inputs and outputs, third‑party model integrations, and regulatory compliance across key markets.
  • Advise on, draft, and negotiate complex technology agreements, including software license agreements, AI and data licensing arrangements, and strategic technology partnerships.
  • Support and lead IP and product counsel workstreams in M&A transactions and other strategic corporate transactions, including due diligence, risk assessment, deal structuring, and post‑closing integration matters.
  • Advise on OSS strategy in the context of AI and product development.
  • Oversee export control compliance as it relates to Rocket's software products, including encryption classification requirements, and advise on export control considerations in product development, AI deployments, and international transactions.
  • Advise on IP strategy in the context of AI and product.
  • Take on leadership of matters and workstreams across the full scope of the IP and product legal function as needed, and drive cross‑functional process improvement, compliance program development, and legal policy initiatives.
  • Advise senior leadership on legal, IP, and product considerations in proposed acquisitions, divestitures, and investments, including AI‑specific diligence and integration risk.
  • Monitor, analyze, and advise on developments in AI law and regulation, data privacy, open source, and other technology‑related legal areas that affect Rocket's products and business, and proactively translate regulatory developments into actionable guidance.
  • Develop and deliver legal training and educational resources to product, engineering, and business teams on AI governance, IP, OSS, and technology law topics to build legal literacy and scalable compliance practices across the organization.
Minimum Qualifications
  • Excellent academic credentials; J.D. from an accredited law school required.
  • Must be in good standing with at least one State Bar.
  • Minimum of 10 years of experience in law firm and/or in‑house legal positions, with substantial experience in intellectual property, technology transactions, and/or product counsel roles, including significant in‑house experience.
  • Minimum of 5 years of experience in law firms and/or in‑house legal positions practicing intellectual property law.
  • Engineering or other relevant technical degree and experience in software and/or other high technology industries.
  • Deep knowledge of and hands‑on experience with AI and machine learning legal issues, including AI governance frameworks, training data and model licensing, generative AI risks and liability, and applicable or emerging AI regulations (EU AI Act, US Executive Orders, etc.).
  • Demonstrated senior leadership capability, including the ability to set strategic direction, influence at the executive level, and serve as a deputy and functional leader across a broad legal portfolio.
  • Deep technical fluency in software, AI/ML systems, and related technologies; ability to engage substantively with engineers and product managers on technical matters and translate technical concepts into legal risk analysis.
  • Knowledge of and experience with pertinent laws, including software licensing, data protection, and export control laws.
  • Ability to clearly articulate and defend risk analysis; critically examine business practices to ensure they are aligned with legal requirements; provide advice regarding business practice risk.
  • Successful candidate is a proven team player and consensus builder that takes a business approach to law.
  • Successful candidate is a flexible self‑starter and proactive problem solver who can work autonomously and handle significant client contact.
  • Effective written and oral communication skills are essential. Ability to clearly present information, in writing and orally, respond to questions from executives, managers, customers, and other employees, with focus on client service.
  • Diplomatic, approachable and possessing good business and personal judgment.
  • Must manage conflicting demands from multiple business clients in a fast‑paced environment.
  • Excellent organizational skills; ability to manage multiple projects at once, follow through and meet deadlines.
  • Inherent ability to act with the highest integrity and professionalism.
Benefits
  • Unlimited Vacation Time as well as paid holidays and sick time
  • Health and Wellness coverage options for Rocketeers and dependents
  • Life and disability coverage
  • Fidelity 401(k) and Roth Retirement Savings with matching contributions
  • Monthly student debt benefit program
  • Tuition Reimbursement and Certificate Reimbursement Program opportunities
  • Leadership and skills training opportunities

Annual salary range for this position is between $164,500.00 - $222,075.00 gross before taxes.

Equal Opportunity Employer

EOE M/F/Vet/Disability. Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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Rocket Software logo

About Rocket Software

Sourced by ZipRecruiter

Thousands of companies around the world depend on Rocket to solve their most challenging business problems by helping them run their critical infrastructure, business processes, and data, as well as extending the value of these assets to take advantage of cloud and mobile computing, advanced analytics, and other future innovations. From the clothes we wear to the cars we drive, Rocket solutions power the back-end systems that thousands of brands interact with every day. At Rocket, software has always been about people--not just ones and zeroes. We're people solving problems for other people, and we strive to treat our customers, partners, and fellow Rocketeers with humanity.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Waltham, MA, US

Year founded

1990

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