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Assistant Machine Learning Quant Jobs in Hercules, CA

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.

Poesis

Founding Machine Learning Engineer

San Francisco, CA · On-site

$97K - $129K/yr

We're hiring our Founding ML Engineer, the first full-time machine learning hire who will turn ... Required Competencies * 5-10+ years of experience as an ML Engineer, Quant Engineer, or similar ...

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 ...

Adobe

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 ...

Elicit

Machine Learning Engineer

Oakland, CA · On-site +1

... role As a Machine Learning Engineer at Elicit, you'll build products and workflows that help ... Ability to use coding assistants effectively and thoughtfully, and has adapted their workflow to ...

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Assistant Machine Learning Quant information

See Hercules, CA salary details

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

As of Aug 10, 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 Engineer

Superhuman

San Francisco, CA • On-site

$250K - $385K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.
About Superhuman
Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.
The Opportunity
We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you will be at the heart of our company's transformation.
  • Shape the Future of Productivity: Play a pivotal role in evolving Grammarly from a beloved writing assistant into an indispensable, AI-native productivity suite for enterprises.
  • Build a Groundbreaking AI Agent Platform: Spearhead the development of a new platform where multiple AI agents collaborate to solve complex user problems. You will be responsible for the core orchestration, routing, and planning systems.
  • Own Critical ML Systems: Develop and deploy sophisticated ML models for core product experiences, including search ranking and proactive suggestions that anticipate user needs.
  • Integrate Cutting-Edge AI: Work at the forefront of the AI landscape, building ML components that integrate with the latest and most powerful models to create magical user experiences.
  • Thrive in a High-Impact Environment: Join a foundational team where you will operate with a high degree of autonomy and product sense in a fast-paced, ambiguous environment.
  • Ship Your Work Fast: Move quickly from idea to impact. We have no red tape or endless approvals-just a focus on making meaningful contributions to a platform used by millions.

Qualifications
  • MS / PhD in Computer Science.
  • 5+ years of industry experience as a machine learning engineer or applied research scientist.
  • A deep understanding of modern algorithms and approaches to ML, NLP, and LLMs.
  • Experience building LLM-based products.
  • A deep care about the end-user experience and strives to ensure high quality.
  • Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.

We invite you to share your knowledge, experience, and goals with us to help us find the best team match for you. Tell us your superpower!
Compensation and Benefits
Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:
  • Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
  • Disability and life insurance options
  • 401(k) and RRSP matching
  • Paid parental leave
  • 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
  • Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
  • Annual professional development budget and opportunities

Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.
We encourage you to apply
At Superhuman, we value our differences, and we encourage all to apply-especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

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