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Internship Machine Learning Quant Jobs in Sunnyvale, CA

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Familiarity with quantitative investing, portfolio construction, or risk management * Experience ...

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Internship Machine Learning Quant information

See Sunnyvale, CA salary details

$29.9K

$50K

$103.3K

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

As of Aug 28, 2026, the average yearly pay for internship machine learning quant in Sunnyvale, CA is $49,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $54,000.00 per year, depending on experience, location, and employer.

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

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are popular job titles related to Internship Machine Learning Quant jobs in Sunnyvale, CA?

For Internship Machine Learning Quant jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Quant jobs in Sunnyvale, CA look for?

The top searched job categories for Internship Machine Learning Quant jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Internship Machine Learning Quant jobs?

Cities near Sunnyvale, CA with the most Internship Machine Learning Quant job openings:

Infographic showing various Internship Machine Learning Quant job openings in Sunnyvale, CA as of July 2026, with employment types broken down into 1% As Needed, 64% Full Time, 33% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $49,978 per year, or $24 per hour.

Staff Machine Learning Engineer, Rewards Economy

Oakland, CA • On-site

$180 - $220/hr

Other

Posted 11 days ago


Job description

Mistplay is the #1 loyalty app for mobile gamers. Our community of millions of engaged mobile gamers come to Mistplay to discover new games to play and earn rewards. Gamers are rewarded for their time and money spent within the games and can redeem those rewards for gift cards. Mistplay is on a mission to be the best way to play mobile games for everyone everywhere! Download Mistplay on the Google Play Store here and follow us on Instagram, Twitter and Facebook.

Overview

Mistplay is seeking an innovative Staff Machine Learning Engineer to lead the design and optimization of our rewards economy. In this critical role, you will develop and balance reward systems to ensure they are enticing and add value for our users while maintaining cost-effectiveness for Mistplay. Collaborating with the Data and AI organization, you will lead initiatives in real-time predictive modeling and optimization within our machine learning-driven operations.

What You'll Do at Mistplay
  • You’ll be part of the cross functional group responsible for the overall rewarding and the loyalty economy strategy for Mistplay.
  • Create and implement machine learning driven rewards economy systems and core loops.
  • Continuously analyze and optimize the economy strategies and implementations to enhance engagement and drive business outcomes.
  • Drive the strategy on how machine learning and AI can further advance the optimization for better user experience and business performance.
  • Distill complex model outputs into actionable strategic insights for executive stakeholders, advocating for AI-first approaches to loyalty and retention.
  • Design and productionize contextual bandits and RL frameworks to personalize reward distribution in real-time, ensuring the right user gets the right incentive at the right moment.
  • Serve as the primary architect for Mistplay’s rewards economy, balancing complex variables to ensure a "win-win" scenario: maximum value for players and sustainable unit economics for the business.
  • Partner with Product, Analytics, Engineering, and Finance to translate high-level business goals into algorithmic constraints and incentive structures.
What You'll Bring to Mistplay
  • A combination of 8+ years in Data Science, Machine Learning, Quant, Econometrics, and/or Master’s or Ph.D. in Data Science, Machine Learning, or a related quantitative field.
  • Understanding of reinforcement learning (DeepQ, contextual bandits)
  • Expertise in implementing machine learning models using Python and PyTorch, paired with strong data analysis skills using SQL and Python.
  • Fast and agile approach to exploring and implementing solutions with a strategic focus on the core loop and economy design.
  • Experience and background in Quant, Data Science, or related fields, with a foundational understanding of economy and core loop designs in gaming or similar contexts.
  • A passion for innovative AI solutions, with demonstrated knowledge in real-time predictive modeling.
  • Prior experience in the mobile gaming industry with a focus on the economics of player behaviour and engagement strategies is a strong nice-to-have.

$180,000 - $220,000 a year

The salary listed is based on the National Average across the US, & based on base salary only, there is a bonus component & many additional benefits, including equity.

For candidates who demonstrate full readiness for the defined scope of the role, the typical starting salary is $190,000 USD. Offers below this point reflect candidates we believe can grow into the full scope of the role with support and development. Offers above this point reflect impact that meaningfully exceeds the role’s defined expectations or an expanded scope from day one.

At Mistplay, we are very passionate about internal equity, & ensuring all staff members are paid fairly & equally for their position. The final salary offered will vary based on candidate experience & location.

We are also open to up levelling the position to Principal for candidates that demonstrate this level of expertise

Why Mistplay?

We strive to make our work environment as inviting and fun as possible! Working at Mistplay is coupled with a whole array of perks that we've adopted virtually and in-person: Team Lunches, game nights, company-wide events, and so much more.

Our culture is deeply rooted in growth and upheld by a team of smart, dynamic, and enthusiastic people. We utilize data to constantly learn, improve, and adapt. We foster an environment where everyone is encouraged to share their ideas, push boundaries, take calculated risks, and witness their visions come to life.

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