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Flexible Machine Learning Consultant Jobs in Oregon

Lead Machine Learning Engineer

OR · On-site +1

$102K - $134K/yr

We are seeking Machine Learning Leaders in the Autonomous Vehicle domain. As part of our team, you ... Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. * Rich ...

Lead Machine Learning Engineer

OR · On-site +1

$102K - $134K/yr

We are seeking Machine Learning Leaders in the Autonomous Vehicle domain. As part of our team, you ... Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. * Rich ...

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... Flexible PTO to take the time you need, when you need it * Paid parental leave for all new parents ...

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... Flexible PTO to take the time you need, when you need it * Paid parental leave for all new parents ...

Machine Learning Scientist 5 - Ad Ranking

OR · On-site +1

$466K - $750K/yr

Design and implement machine learning and optimization algorithms to improve ad quality and ... Full-time salaried employees are immediately entitled to flexible time off. See more details about ...

We are looking for a Machine Learning Scientist 6 to serve as a vertical technical lead across our ... Full-time salaried employees are immediately entitled to flexible time off. See more details about ...

Lead Machine Learning Engineer - Localization

OR · On-site +1

$102K - $134K/yr

Architect and drive the technical roadmap for a production-grade localization machine learning ... Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. * Rich ...

Machine Learning Scientist 5 - Ads Bidding

OR · On-site +1

$466K - $750K/yr

Design and implement machine learning-driven bidding algorithms that optimize ad performance ... Full-time salaried employees are immediately entitled to flexible time off. See more details about ...

Machine Learning Engineer 5 - Globalization

OR · On-site +1

$466K - $750K/yr

We are looking for an experienced Machine Learning Engineer with deep expertise in training and ... Full-time salaried employees are immediately entitled to flexible time off. See more details about ...

... machine learning to help sellers work smarter, close more deals, and scale Ads revenue without ... Full-time salaried employees are immediately entitled to flexible time off. See more details about ...

You will work closely with our machine learning researchers, product managers, and other engineers ... flexible, production-ready solutions for our algorithms. You will also guide the team towards ...

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Showing results 1-20

Flexible Machine Learning Consultant information

What is the difference between Flexible Machine Learning Consultant vs Data Scientist?

AspectFlexible Machine Learning ConsultantData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or data analysis are commonUsually holds a degree in statistics, computer science, or related disciplines; certifications like Certified Data Scientist are advantageous
Work EnvironmentOften works on client projects, freelance or contract basis, in diverse industriesTypically employed full-time within organizations, focusing on data analysis and model development
Industry UsageUsed across consulting firms, tech companies, and startups for project-based workCommon in tech, finance, healthcare, and research institutions for ongoing data analysis

The main difference is that a Flexible Machine Learning Consultant primarily works on project-based, client-specific tasks, often freelance, while a Data Scientist usually works full-time within a company focusing on data analysis and model building. Both roles require similar skills and credentials but differ in work setting and employment structure.

What cities in Oregon are hiring for Flexible Machine Learning Consultant jobs?

Cities in Oregon with the most Flexible Machine Learning Consultant job openings:

Machine Learning Manager - Localization Algorithms

Netflix

OR • On-site, Remote

$523K - $920K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 19 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

72nd of 78 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.


What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Netflix logo

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