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Remote Machine Learning Quant Jobs in Long Beach, CA

Corvel

Data Scientist II

Irvine, CA · On-site +1

This individual will be focused on designing, building, and deploying machine learning models and ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This individual will be focused on designing, building, and deploying machine learning models and ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

YO AI Labs

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

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All JobsMachine Learning Quant JobsRemote Machine Learning Quant JobsRemote Machine Learning Quant Jobs in Long Beach, CA

Remote Machine Learning Quant information

See Long Beach, CA salary details

$11.6K

$136.3K

$208.2K

How much do remote machine learning quant jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning quant in Long Beach, CA is $136,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $145,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Machine Learning Quant vs Remote Data Scientist?

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are popular job titles related to Remote Machine Learning Quant jobs in Long Beach, CA?

For Remote Machine Learning Quant jobs in Long Beach, CA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Quant jobs in Long Beach, CA look for?

The top searched job categories for Remote Machine Learning Quant jobs in Long Beach, CA are:

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Cities near Long Beach, CA with the most Remote Machine Learning Quant job openings:

Remote Machine Learning Quant jobs near you

Machine Learning Scientist 5 - Ads Bidding

Netflix

Los Angeles, CA • On-site, Remote

$466K - $750K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 20 hours ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 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.
We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
Our Team:
The Core Ads Algorithms team is the engine behind the intelligence that powers ad personalization at Netflix. Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad experiences to our members and drive impactful results for advertisers-all while maintaining the exceptional quality and personalization that define the Netflix experience.
Responsibilities:
  • Design and implement machine learning-driven bidding algorithms that optimize ad performance against objectives such as Clicks, Conversions, CPA and ROAS,.
  • Build, train, and evaluate bidding algorithms on large-scale production data, ensuring robustness to marketplace dynamics, seasonality, and distribution shifts.
  • Develop online and offline evaluation frameworks to rigorously measure the impact of bidding algorithms and policy changes.
  • Inform and influence auction and pricing mechanism design, ensuring alignment between bidding algorithms, marketplace efficiency, and business goals.
  • Partner closely with the product team to define bidding objectives, constraints, and trade-offs that align with product and revenue goals.
  • Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven bidding solutions.

Qualifications:
  • Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or related quantitative field.
  • Proficiency in Python, Scala or Java.
  • Deep knowledge of machine learning, optimization, and data analysis techniques.
  • Experience with prototyping and deploying algorithms using large-scale production data.
  • Strong business acumen and ability to translate technical results into business impact.
  • Experience in building bidding algorithms.
  • Excellent communication and collaboration skills.

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 $466,000.00 - $750,000.00. 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

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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

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