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Machine Learning Manager Jobs in Oregon (NOW HIRING)

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$523K - $920K/yr

We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and Machine Learning Engineers working on multimodal LLM and audio algorithms. You will support a highly ...

The Team Our Core ML organization is looking for an exceptional, hands-on Machine Learning Manager to join our leadership group. Because our ML teams share common codebases and modeling pipelines, we ...

Master's or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent ... managing multiple teams or leaders (e.g., senior manager, group lead, or equivalent). Deeply ...

OR · On-site

You will help design and build end-to-end machine learning solutions. * You will be working in ... You will work closely with engineers, product managers, other teams, and both internal and external ...

Machine learning is central to how we build intelligent shopping experiences at Instacart. We use ... Working on graph data management and knowledge discovery over one of the world's largest grocery ...

OR · On-site

We are looking for a Machine Learning Architect to join our Machine Learning team. In this role ... Proven track record of taking ownership, managing multiple priorities, and delivering high-quality ...

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This ... Experience managing datasets and training workflows within distributed or cloud computing ...

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$104K - $143K/yr

Manage ML runtime infrastructure using containerization and orchestration frameworks (e.g., Docker ... software engineering, machine learning engineering, MLOps, or related roles * Experience ...

OR · On-site

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and ... This includes building a unified embeddings platform for training, serving, and managing ...

Senior Machine Learning Engineer

OR · Remote

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ... Collaborate across teams of data scientists, product managers, designers, engineers, and domain ...

... Machine Learning team ... In this role, you will lead the architecture, implementation, and lifecycle management of AI/ML ...

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Machine Learning Manager information

See Oregon salary details

$53.9K

$86.4K

$124.8K

How much do machine learning manager jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning manager in Oregon is $86,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $97,800.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Oregon? The most popular types of Machine Learning jobs in Oregon are:
What are popular job titles related to Machine Learning Manager jobs in Oregon? For Machine Learning Manager jobs in Oregon, the most frequently searched job titles are:
Infographic showing various Machine Learning Manager job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $86,389 per year, or $41.5 per hour.
Machine Learning Manager - Localization Algorithms

Machine Learning Manager - Localization Algorithms

Netflix

OR

$523K - $920K/yr

Other

Medical, Life, Retirement, PTO

Posted 3 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

58th of 67 rated media


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

Come be a part of what's next. The Localization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.

We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and Machine Learning Engineers working on multimodal LLM and audio algorithms. You will support a highly talented team in developing cuttingedge algorithms and systems, and collaborate closely with crossfunctional partners to enhance localization experiences for Netflix members around the world. Responsibilities Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio algorithms to achieve Netflix's ambitious localization goals.

Mentor, support, and inspire a team of Research Scientists and Machine Learning Engineers, amplifying their impact and fostering their career growth. Partner with technical leads on defining area strategy, planning and executing projects, and developing talent. Set and operationalize a high bar for both execution speed and quality, while nurturing a culture of exceptional technical excellence.

Bring cutting-edge technical expertise and build deep domain knowledge to uncover new opportunities and make strategic bets. Build strong relationships with cross-functional, cross-domain partners to shape long-term collaborations and shared visions. Act as a functional leader and domain expert, representing the team's work and strengthening the team's internal and external brand.

Contribute to the growth and upskilling of the broader Machine Learning community at Netflix. About you Proven track record of successfully leading highly technical ML research and engineering teams in multimodal LLMs, speech recognition and understanding, and generative speech. Highly proficient in multimodal LLM and speech algorithm research, and deeply committed to staying current with the latest technical developments; have led teams to launch and continuously improve production ML services.

Passionate about leading teams through ambiguous and complex technical and business challenges; focused on bringing clarity, structure, and effective execution. Strong track record in mentoring and developing talent, with proven success recruiting researchers and engineers at multiple levels. Master's or PhD in Machine Learning, Computer Science, or a closely related field.

6+ years of hands-on ML experience (or 4+ years with a relevant PhD). 2+ years of experience leading ML teams. Exceptional verbal and written communication skills.

Deeply committed to delivering end-to-end business impact. Netflix culture resonates with you. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses.

You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $523,000.00 - $920,000.00

This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.

Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.

If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully.

We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.


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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997