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Junior Machine Learning Jobs in Oregon (NOW HIRING)

As a Staff Machine Learning Engineer at BetterHelp, you'll join a diverse team of licensed ... Mentor and guide junior data scientists to deploy their models into production * Design & Build ML ...

Experience in writing data pipeline and machine learning libraries and utilities * Willingness to learn new technologies * Willingness to mentor junior ml engineers and data scientists * Comfortable ...

This position is ideal for individuals with machining experience, entry-level CAM programming ... continuous learning. We encourage employees to contribute ideas, explore new manufacturing ...

You will leverage the latest machine learning techniques, and technology to optimize underwriting ... As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ...

You will leverage the latest machine learning techniques, and technology to optimize underwriting ... As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ...

You will leverage the latest machine learning techniques, and technology to optimize underwriting ... As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ...

You will leverage the latest machine learning techniques, and technology to optimize underwriting ... As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ...

AI Engineer

Portland, OR · On-site

$55K - $187K/yr

... junior team members in AI implementation and data engineering practices What You Must Have - At ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Lead AI/ML Engineer

OR · On-site +1

$180K - $230K/yr

Build, train, evaluate, and optimize machine learning models for production use cases ... junior team members. * Present technical findings, experiment results, and architectural ...

Publish original research at top machine learning and AI conferences to maintain NVIDIA's technical leadership. Mentor interns and junior researchers to develop technical growth within the team. What ...

Staff Analyst, Investor Analytics

OR · On-site +1

$61K - $81K/yr

You will partner closely with our Capital Markets, Lending Partnership, Machine Learning, and ... Support junior team members while fostering a culture of excellence in data, credit, and analytics ...

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110K - $152K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

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Junior Machine Learning information

See Oregon salary details

$8

$28

$50

How much do junior machine learning jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for junior machine learning in Oregon is $28.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $35.10 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

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

The most popular types of Machine Learning jobs in Oregon are:

Infographic showing various Junior Machine Learning job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $59,280 per year, or $28.5 per hour.

Staff Machine Learning Engineer

OR • On-site, Remote

BetterHelp
Health Care and Social Assistance • 1 - 5K employees

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago


BetterHelp rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Who are we and why should you join us?

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world's largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we're not stopping there - as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.


As a Staff Machine Learning Engineer at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team's well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you'll carve your own path, make an immediate impact, and be challenged every day - with a supportive community behind you the whole way.

What are we looking for?

BetterHelp is looking for a Staff Machine Learning Engineer to join our growing Data team. In this role, you'll help drive a range of impactful, ML-driven initiatives that power our products and improve outcomes for our users.

We're seeking someone who brings a strong combination of machine learning, optimization, and software engineering experience. You'll be responsible for designing and building machine learning and optimization models, as well as partnering closely with Data Scientists to productionize and scale their work. As a key member of the team, you'll collaborate cross-functionally with Data Engineers, Software Engineers, and Product Managers, playing a pivotal role in shaping how machine learning is applied across the business.

This is an exciting opportunity for someone who wants to lead and scale ML efforts, work on meaningful problems, and make a real impact while working on a product used by millions globally. You'll work closely with the Director of ML/Data Engineering and help define the future of our ML platform and capabilities.

What will you do?
  • Design, prototype and productionize scalable machine learning and optimization models
  • Play a critical in setting up the best practices in machine learning, setting direction of the machine learning platform
  • Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks
  • Partner with data scientists to troubleshoot and optimize complex data pipelines
  • Work with product managers and business partners to gather requirements for machine learning models
  • Build model deployment platform that can simplify implementing new models
  • Build end-to-end reusable pipelines from data acquisition to model output delivery
  • Mentor and guide junior data scientists to deploy their models into production
  • Design & Build ML (engineering) solutions that unlock new ML modeling capabilities for BetterHelp
What will you NOT do?
  • You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
  • You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
  • You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
  • You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.
Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.

Requirements
  • 6+ years of experience in machine learning
  • Proven experience deploying and integrating machine learning models into production systems
  • Strong expertise in machine learning techniques, including deep learning, neural networks, statistical modeling, tree-based methods, boosting, regression, and dimensionality reduction
  • Extensive experience building personalization and recommendation systems
  • Working knowledge of operations research concepts such as mathematical modeling, linear and integer programming, and discrete event simulation
  • Familiarity with large language models, fine-tuning methods, and reinforcement learning from human feedback (RLHF)
  • Solid foundation in computer science fundamentals, including object-oriented programming, data structures, and algorithms
  • Advanced proficiency in Python and SQL
  • Excellent written and verbal communication skills
  • Experience developing data pipelines and machine learning libraries/tools
  • Eagerness to learn and adopt new technologies
  • Interest in mentoring junior machine learning engineers and data scientists
  • Comfortable working in fast-paced, high-growth, and agile environments
Benefits
  • Remote work with regular in-person bonding experiences sponsored by the company
  • Competitive compensation 
  • Holistic perks program (including free therapy, employee wellness, and more)
  • Excellent health, dental, and vision coverage
  • 401k benefits with employer matching contribution
  • The chance to build something that changes lives - and that people love
  • Any piece of hardware or software that will make you happy and productive
  • An awesome community of co-workers

The base salary range for this position is $170,000 - $245,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2026. Total compensation is based on several factors - including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.

At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.


What BetterHelp employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


BetterHelp logo

About BetterHelp

Sourced by ZipRecruiter

* We help people change their lives. BetterHelp is the world's largest therapy service. We set out on a mission to provide everyone with easy, affordable, and private access to professional counseling: anytime, anywhere. To date, our network of over 20,000 licensed, accredited, and board-certified therapists have assisted more than 1,000,000 people. Every month, our secure website and mobile app facilitate over 5,000,000 messages, chats, voice calls, and video sessions that help people face life's challenges. * We're taking mental healthcare to the next level. We combine clinical care, cutting-edge technology and data-driven product development to constantly learn, iterate, and improve. We are relentless in our pursuit of better, always questioning the status quo and discovering new ways to get things done and serve our members. * We are a community that grows together - both professionally and personally. Even with our exponential growth, our team is kept agile and nimble, allowing you to have a huge impact and carve your own path from day one. We invest in our team's well-being and professional development because we know that business and individual growth go hand-in-hand. You will move fast, remain flexible, and be challenged every day. Join us!

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

2013

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