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Remote Quantitative Developer Intern Jobs in Berkeley, CA

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

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 ... Open to remote candidates or 3 days a week hybrid from our Toronto or San Francisco hubs. Benefits ...

LatchBio

AI Biologist - Function

San Francisco, CA · On-site +1

$120K - $180K/yr

Bioinformatics Engineer - Function As molecular data generation and frontier model intelligence ... Comfort with quantitative modeling applied to noisy experimental data * Proficiency in Python and ...

Equilibrium Energy

General Interest

San Francisco, CA · On-site +1

... Engineer * Science- Data Scientist, Research Scientist, ML Scientist, Quantitative Analyst ... remote-first work environment. Employee benefits include: * Competitive base salary and a ...

WilsonCTS

Marketing Researcher

San Francisco, CA · On-site +1

$45 - $50/hr

Onsite or hybrid preferred; fully remote may be considered for candidates based in San Francisco ... quantitative research methods. The contractor will be responsible for programming and launching ...

RhythmScience Inc.

Product Manager

San Francisco, CA · On-site +1

$155K - $185K/yr

Research shows that continuous remote monitoring can reduce hospital visits and improve patient ... Collaborate with Engineering Managers, Design Leads, and cross-functional teams to estimate level ...

Hired Recruiters

User Researcher

San Francisco, CA · On-site +1

... engineers and cross-functional roles to elevate the user experience for our teachers, students ... Collect, analyze, and present quantitative and/or qualitative data to generate actionable strategic ...

Pinterest

Data Scientist

San Francisco, CA · Remote

$209K/yr

Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve ... Data Engineering and others. The results of your work will influence and uplevel our product ...

Pinterest

Data Scientist

San Francisco, CA · On-site +1

$101K - $209K/yr

Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve ... Data Engineering and others. The results of your work will influence and uplevel our product ...

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All JobsQuantitative Developer Intern JobsRemote Quantitative Developer Intern JobsRemote Quantitative Developer Intern Jobs in Berkeley, CA

Remote Quantitative Developer Intern information

What does a remote quantitative developer intern do?

A Remote Quantitative Developer Intern works with quantitative analysts and software engineers to design, develop, and implement algorithms and tools used for financial modeling and data analysis, often in the finance or trading industry. They typically use programming languages like Python, C++, or Java to build and test quantitative models remotely. Their work helps organizations make data-driven decisions, optimize trading strategies, and manage risk. As an intern, they also gain exposure to advanced mathematical concepts, financial markets, and collaborative software development processes.

What are the key skills and qualifications needed to thrive as a remote quantitative developer intern, and why are they important?

A Remote Quantitative Developer Intern should have strong programming skills (such as Python or C++), a solid foundation in mathematics or statistics, and be working toward a relevant degree like computer science, engineering, or applied math. Familiarity with quantitative libraries, version control systems (like Git), and data analysis tools is typically expected. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills, especially for remote collaboration. These skills ensure interns can efficiently contribute to quantitative research and development projects, adapt to fast-paced environments, and communicate findings clearly within distributed teams.

What are some common challenges faced by remote quantitative developer interns, and how can they overcome them?

Remote Quantitative Developer Interns often face challenges such as effective communication with distributed teams, managing time across different time zones, and accessing necessary data or systems securely. To overcome these challenges, it's important to proactively schedule regular check-ins with mentors, make use of collaborative tools like version control and project management platforms, and clarify expectations early on. Additionally, documenting your work and seeking feedback can help ensure alignment and smooth progress throughout the internship.

What is the difference between Remote Quantitative Developer Intern vs Quantitative Analyst Intern?

AspectRemote Quantitative Developer Intern
Required Credentials
Typically pursuing or holding a degree in Computer Science, Mathematics, or related fields; coding skills essential
Work Environment
Remote, collaborative teams within financial firms or hedge funds
Employer & Industry Usage
Commonly employed in quantitative trading firms, hedge funds, or financial technology companies
Comparison Summary

The Remote Quantitative Developer Intern focuses on coding, developing algorithms, and building trading models, requiring strong programming skills. In contrast, a Quantitative Analyst Intern typically emphasizes data analysis, statistical modeling, and research. Both roles often require similar educational backgrounds and are found in financial industries, but their core responsibilities differ, with the developer role being more technical and programming-oriented.

What are popular job titles related to Remote Quantitative Developer Intern jobs in Berkeley, CA?

For Remote Quantitative Developer Intern jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Quantitative Developer Intern jobs in Berkeley, CA look for?

The top searched job categories for Remote Quantitative Developer Intern jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Quantitative Developer Intern jobs?

Cities near Berkeley, CA with the most Remote Quantitative Developer Intern job openings:

Remote Quantitative Developer Intern jobs near you
Infographic showing various Remote Quantitative Developer Intern job openings in Berkeley, CA as of August 2026, with employment types broken down into 25% Internship, 50% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution.

Lead AI/ML Engineer - Remote

UnitedHealth Group

San Francisco, CA • On-site, Remote

$120K - $159K/yr

Full-time

Retirement

Posted 5 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 887 rated healthcare providers

Job description

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together.
As a Lead AI/ML Engineer on the AI Platform Team within Optum AI, you will drive the design and development of scalable AI systems to improve patient care. This is a highly hands-on, technical engineering lead role focusing on technical execution, architectural strategy, and technical mentorship of other engineers. Our team delivers complete end-to-end solutions, from healthcare data ingestion and generative agents to AI model deployment, clinical applications, and analytics. Our current initiatives involve both leveraging and building cutting-edge Generative AI and Agentic AI technologies from scratch. We have the data and resources to make an impact on a massive scale, benefiting millions of people globally.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Lead and contribute to the design, hands-on implementation, and deployment of end-to-end AI/ML systems that enable the business to derive critical insights from patient data in a scalable, reliable, and cost-effective manner
  • Partner with product managers, data scientists, software engineers, and business stakeholders to translate business requirements into scalable AI systems
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with a solid emphasis on the responsible use of AI
  • Leverage enterprise-approved and AI-assisted tools to streamline engineering workflows, automate routine tasks, conduct code reviews, perform testing, and drive continuous improvement
  • Ensure the delivery of high-quality, maintainable, and efficient code and technical specifications, leading by example to deliver product quality the first time
  • Drive architectural decisions and contribute to our long-term technical strategy for AI/ML systems, evaluating emerging trends and research to inform solution design
  • Own the full lifecycle of AI/ML initiatives, from problem definition and data exploration to agent development, deployment, and active monitoring
  • Define project scope, success metrics, and delivery milestones in collaboration with cross-functional teams, executing with solid engineering rigor through CI/CD, environment readiness, and quality gates
  • Stay ahead of the curve on emerging AI/ML technologies, tools, and research, promoting a culture of innovation through rapid iteration, experimentation, and data-driven decision-making
  • Act as a key technical resource and trusted advisor on complex or critical issues, actively reviewing the work of others and mentoring engineers to help them reach their full potential without direct administrative/HR management responsibilities

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, Mathematics, Statistics, or a related quantitative field, or 4+ years of equivalent software engineering experience in lieu of a degree
  • 12+ years of experience in Software Engineering, Data Science, or Analytics, with at least 3+ years dedicated to AI/ML engineering or related fields
  • 4+ years of experience in a team lead or technical leadership role (guiding technical projects, architectures, and mentoring engineers)
  • 4+ years of hands-on Python programming experience
  • 4+ years of hands-on experience in modern cloud infrastructure (e.g., AWS, Azure, or GCP)
  • 1+ years of experience leveraging Large Language Models (LLMs) or developing generative AI solutions
  • Experience designing and delivering at least two complete AI products from ideation to production/release

Preferred Qualifications:
  • Master's degree or Ph.D. in Computer Science, Data Science, AI, or a related field
  • Hands-on experience working with Google Cloud Platform (GCP)
  • Experience with healthcare data standards and interoperability protocols (e.g., FHIR, HL7, HIPAA compliance)
  • Proven knowledge of CI/CD principles with experience designing and operating multiple production-grade pipelines
  • Experience with the challenges of delivering and monitoring LLM-based cloud systems in a production environment
  • Proficiency with GitHub and GitHub Actions, artifact and dependency management, containerization (Docker), and Infrastructure-as-Code (Terraform) to enable reliable, repeatable, and secure deployments
  • Demonstrated passion for innovation, staying current with emerging AI/ML trends, and a solid bias for action
  • Solid communication and presentation skills with the ability to explain complex technical concepts to diverse, non-technical audiences

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 to $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
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