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Assistant Machine Learning Quant Jobs in California

Lead Machine Learning Engineer

San Diego, CA · On-site

$108K - $143K/yr

... quantitative field * 7+ years of experience as an engineer specialized building Machine Learning ... systems * 2+ years of technical leadership delivering machine learning solutions in partnership ...

PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics). * 3+ years of hands-on industry experience building and deploying machine learning models to solve real ...

Machine Learning Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

... quantitative and qualitative data. Experience operating within global data privacy frameworks (e.g ... Experience with prompt engineering, machine learning tools, and fine-tuning Large Language Models ...

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... Must haves: * MS or equivalent experience in a relevant, quantitative field such as Computer ...

Senior Machine Learning Engineer

Brisbane, CA · On-site

$147K - $194K/yr

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... Must haves: * MS or equivalent experience in a relevant, quantitative field such as Computer ...

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ... Conduct model experimentation, evaluation, and iteration using quantitative metrics and A/B testing ...

Sr Machine Learning Scientist

Thousand Oaks, CA · On-site +1

$96K - $131K/yr

Machine Learning Scientist What you will do Let's do this. Let's change the world. Within Amgen ... quantitative field. * Strong track record of research accomplishments including three or more ...

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Assistant Machine Learning Quant information

What are Assistant Machine Learning Quants?

Assistant Machine Learning Quants are entry-level professionals in quantitative finance who support senior quants by applying machine learning techniques to analyze financial data, build predictive models, and develop trading strategies. Their responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They work closely with quantitative researchers and traders to improve algorithmic trading systems and risk management processes. This role typically requires strong programming skills, a solid understanding of machine learning concepts, and familiarity with financial markets.

How does an Assistant Machine Learning Quant typically collaborate with senior quants and data scientists on projects?

As an Assistant Machine Learning Quant, you will often work closely with senior quantitative researchers and data scientists by supporting model development, data preprocessing, and feature engineering tasks. You may contribute to brainstorming sessions, implement prototypes, and assist in backtesting trading strategies or risk models. This collaborative environment provides valuable mentorship opportunities and exposure to best practices in quantitative analysis and machine learning within the finance industry. Effective communication and a willingness to learn from senior team members are key to success in this role.

What are the key skills and qualifications needed to thrive as an Assistant Machine Learning Quant, and why are they important?

To thrive as an Assistant Machine Learning Quant, you need strong quantitative skills, a background in statistics or mathematics, and typically a degree in a STEM field. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial modeling tools are essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These competencies enable accurate model development, efficient data analysis, and clear collaboration with team members in high-stakes financial environments.
What are the most commonly searched types of Machine Learning Quant jobs in California? The most popular types of Machine Learning Quant jobs in California are:
What are popular job titles related to Assistant Machine Learning Quant jobs in California? For Assistant Machine Learning Quant jobs in California, the most frequently searched job titles are:
What job categories do people searching Assistant Machine Learning Quant jobs in California look for? The top searched job categories for Assistant Machine Learning Quant jobs in California are:
What cities in California are hiring for Assistant Machine Learning Quant jobs? Cities in California with the most Assistant Machine Learning Quant job openings:
Infographic showing various Assistant Machine Learning Quant job openings in California as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 2% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Multi-Modal Machine Learning Engineer (all levels) - Trust and Safety

Multi-Modal Machine Learning Engineer (all levels) - Trust and Safety

TikTok

San Jose, CA • On-site

$244K - $588K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

87th of 209 rated software companies


Job description

Responsibilities
Our Trust and Safety team is fast growing and responsible for building machine learning models and systems to protect our users from the impact of negative content. Our mission is to protect billions of users and publishers across the globe every day. We embrace the state-of-the-art machine learning technologies and scale them to moderate the tremendous amount of data generated on the platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world. We are looking for excellent machine learning engineers who can take initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. A successful candidate will have machine learning expertise and good software engineering experience. And you will take pride in working with engineers, product managers and business partners to identity and solve the most challenging safety and integrity problems in the internet scale. You will be evaluated for five sub-teams working on various areas of Trust and Safety during the general hire process. Responsibilities - What You'II Do - Lead and build content understanding models for content moderation. - Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, graph models, representation learning models, and LLM. - Collaborate with product teams to define business objectives and improve trust and safety strategy. - Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipeline at scale. - Collaborate with data scientist team to understand the key challenges and propose data-driven strategies.
Qualifications
Minimum Qualifications: - BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, . - Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal/Graph/LLM), statistical models and applied mathematical methods. - Strong coding skills, especially in Python and similar languages. - Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills. Preferred Qualifications: - Ph.D. in LLM, VLM or equivalent experience - Strong background in LLM, multimodal modeling, representation learning and/or publications in AI/ML conferences are a plus. - Understanding of the business value of content understanding and content moderation. - Experience in developing online ML systems including ranking, retrieval.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $244800 - $588000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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