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Assistant Machine Learning Quant Jobs in Hercules, CA

Superhuman

Machine Learning Engineer

San Francisco, CA · On-site

$180 - $260/hr

... As a Machine Learning Engineer on this team, you will be at the heart of our company ... Play a pivotal role in evolving Grammarly from a beloved writing assistant into an indispensable ...

PayJoy

Machine Learning Director

San Francisco, CA

$300K - $321K/yr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

New

PayJoy

Machine Learning Director

San Francisco, CA · On-site

$300K - $321K/yr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

New

PayJoy

Machine Learning Director

San Francisco, CA · On-site

$300K - $321K/yr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

New

Superhuman

Machine Learning Engineer

San Francisco, CA · On-site

$250K - $385K/yr

... As a Machine Learning Engineer on this team, you will be at the heart of our company ... Play a pivotal role in evolving Grammarly from a beloved writing assistant into an indispensable ...

EvenUp

Staff Machine Learning Engineer

San Francisco, CA · Remote

$212K - $301K/yr

PhD in Machine Learning, Computer Science, or a related quantitative field. * Experience with document understanding, entity/relationship extraction, or structured extraction from unstructured text.

Adobe, Inc.

Machine Learning Engineer

San Francisco, CA · On-site

We are looking for a Senior Machine Learning Engineer to power the intelligence inside our products ... Bachelor's in a quantitative field (CS, ML, Data Science, Engineering, or similar) or equivalent ...

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Assistant Machine Learning Quant information

See Hercules, CA salary details

$14

$19

$25

How much do assistant machine learning quant jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for assistant machine learning quant in Hercules, CA is $19.93, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $21.25 per hour, depending on experience, location, and employer.

What is an assistant machine learning quant?

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.
Assistant Machine Learning Quant jobs near you
Infographic showing various Assistant Machine Learning Quant job openings in Hercules, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,459 per year, or $19.9 per hour.

Machine Learning Scientist - AppleCare WW Demand Planning

Apple

San Francisco, CA • On-site

Full-time

Re-posted 24 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to develop a culture where everyone belongs and is inspired to do their best work.
At Apple, the customer experience doesn't end with a purchase; that is just the beginning. The Worldwide Demand Planning team ensures service continuity across every channel. We forecast the inventory needed to support customers everywhere-whether they visit an Apple Store, mail in a device, or seek help through our external Carrier and Insurance partners. Our scope spans across whole unit devices, repairable parts such as battery or display, packaging, and tools required for repair. We ensure the right forecast for parts is in place at our warehouses, Retail stores, and thousands of Service Providers worldwide.
Description
We are expanding our technical capabilities and seeking a Machine Learning Scientist to help us operationalize and scale our forecasting models. You will join a diverse team of data scientists and planners, bringing the specific engineering rigor needed to turn complex analyses into robust, self-improving production systems. Your work will enable the team to move faster and deploy models that directly impact resource availability for millions of customers. Join us to build the infrastructure that powers the heartbeat of AppleCare.
Minimum Qualifications
Master's or PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a related quantitative field with 3+ years of industry experience in deploying Machine Learning models OR Bachelor's degree in a quantitative field with 3+ years of industry experience in deploying Machine Learning models.
Applied Machine Learning: Practical experience creating and deploying models in real-world environments, with specific expertise in Time Series forecasting, Anomaly Detection, or Optimization.
Software Engineering Proficiency: Expert proficiency in Python, with a strong grasp of software design principles (Object-Oriented Design), data structures, and writing testable, maintainable code beyond just scripting.
Data Systems: Expert-level SQL skills and experience working with large-scale distributed data processing frameworks (e.g., modern cloud data warehouses like Snowflake, Oracle, Spark, Hadoop, etc.).
Communication: Superior ability to translate meticulous mathematical concepts into clear, actionable insights for non-technical stakeholders and leadership.
Preferred Qualifications
Production Engineering: Proven experience taking models from research prototypes to production systems (using CI/CD, APIs, and containerization).
Creative Modeling: Ability to engineer novel features and apply advanced Time Series or ML techniques to solve complex demand challenges.
Business Insight: Proficiency in translating raw data into compelling narratives that drive strategic business decisions.
Mentorship: Proven track record of up-skilling teammates, bridging the gap between statistical analysis and software engineering.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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