Search for ML Research Internship positions in Burlingame, CA, focusing on generative modeling and deep learning, requiring a PhD in Computer Science or related fields, and have a strong background in machine learning.

Okay, I've searched for ML Research Internship positions in Burlingame, CA, focusing on generative modeling and deep learning, requiring a PhD in Computer Science or related fields, with a strong background in machine learning. I have found 27 positions for you.

ML Research Intern

Burlingame, CA

generative modeling

PhD

Internship

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The ML Research Intern role at Genesis Therapeutics is fundamentally about harnessing machine learning to propel advancements in drug discovery, specifically through generative modeling of molecular systems. This position requires the intern to engage deeply with both cutting-edge machine learning techniques and the complexities of molecular data. Success in this role hinges on the intern’s ability to lead a research project, thereby not just learning but also innovating within the context of AI's application in biochemistry. The responsibilities involve navigating the latest deep learning literature, designing experiments, and synthesizing findings, which will likely involve addressing challenges around validation methods and scaling up experiments. The intern's work will be crucial in improving the GEMS platform, which indicates a need for creativity and practical problem-solving abilities to translate theoretical knowledge into actionable models. Ultimately, excelling in this role demands a balance of technical prowess, curiosity about biochemistry, and collaboration with a multi-disciplinary team.

Company Analysis:

Genesis Therapeutics occupies a pioneering role at the intersection of AI and biotechnology, positioning itself as an innovator in the field of drug discovery. As a rapidly growing company, it is recognized for its unique capabilities in leveraging AI to tackle the challenges of developing novel therapeutics, particularly in difficult therapeutic targets. The culture appears to be fast-paced and collaborative, valuing intellectual curiosity and openness to continuous learning—evident from the team's commitment to discussing research papers weekly. Given its substantial funding and prestigious partnerships with major pharmaceutical companies, the role of an ML Research Intern is strategically aligned with Genesis's mission: to enhance the GEMS platform and contribute to a significant technological leap in drug discovery. The visibility of this role within a team of seasoned researchers and its implications for real-world drug development can offer significant career development opportunities, especially for someone looking to merge AI expertise with the life sciences.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Behavioral Questions:
1. Tell me about a time when you encountered a significant challenge in a research project. How did you approach resolving it?
1. Describe an experience where you had to collaborate with a team. What was your role, and how did you handle differing opinions?
1. Can you share an instance where you had to learn a complex topic quickly? How did you go about understanding it?
1. Give an example of a research project you led. What were your main contributions, and what were the outcomes?
Technical/Role-Specific Questions:
1. How would you approach developing a novel model for generative modeling of molecular data?
1. Can you describe your experience with deep learning frameworks? How have you applied them to previous projects?
1. Explain a situation in which you had to validate a machine learning model. What metrics did you use, and why?
1. What methods would you consider for optimizing a predictive model in a high-dimensional dataset such as molecular data?
Situational Questions:
1. Imagine you are tasked with exploring a new approach to molecular dynamics modeling that has not been widely tested. What steps would you take?
1. If you discover that your initial hypothesis about a model's performance is incorrect, how would you proceed?
Company Fit/Motivation Questions:
1. What attracted you to apply for an internship at Genesis Therapeutics, and how do you believe your research interests align with our goals?
1. In what ways do you think your background in machine learning can contribute to the advancements in drug discovery at Genesis?
Questions for the Candidate to Ask the Interviewer:
1. What are some of the most exciting projects currently being undertaken by the AI team at Genesis?
1. How does Genesis support ongoing learning and development for interns and new team members?
1. Can you describe the mentorship structure and how interns are integrated into the team’s research activities?

Job Details

Overview Company

ML Research Intern

Genesis Therapeutics

22 days ago

Highlight

OnsiteInternEntry

Summary

Genesis Therapeutics is seeking an ML Research Intern - PhD (Fall 2025) to join their team in Burlingame, CA. The role involves conducting cutting-edge research in machine learning for small molecule drug discovery.

About the Role

As an ML Research Intern at Genesis, you will lead a research project focused on generative or predictive modeling of molecular systems. You will navigate deep learning literature, develop novel models and training techniques for molecular data, and design experiments to validate promising approaches. You will work closely with ML researchers, engineers, and biochemistry experts in a collaborative environment.

About You

Required:

Currently enrolled in a PhD program in Computer Science, Machine Learning, or related fields.
Strong background in machine learning, deep learning, and/or related areas.
A deep thinker who reasons from first principles over pattern matching.

Preferred:

Interested in learning about biochemistry and the drug development process.

Benefits

Opportunity to work on challenging, high impact ML research that accelerates the discovery of new medicines.
One-on-one mentorship to guide your research.
Collaboration with strong technical coworkers in AI, software, and chemistry.

Genesis Therapeutics

Genesis Therapeutics – headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego – is unifying AI and biotechnology to discover novel and breakthrough treatments for patients with severe and devastating conditions. We are using a proprietary state-of-the-art generative and predictive AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery.

The GEMS platform integrates deep learning-based predictive models, molecular simulations, and molecular generative AI. GEMS accelerates hit ID through lead optimization and candidate selection by generating promising molecules for synthesis and experimental testing, and iterating this process through multiple cycles of AI-enabled discovery and optimization.

We have leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has two AI platform collaborations across a range of therapeutic areas: Eli Lilly (signed in 2022) and Genentech (signed in 2020).

Genesis has raised over $280M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures. We are rapidly growing our team with a variety of openings on our machine learning, computational chemistry, and software teams (primarily located in the Bay Area) and our chemistry, biology, and clinical teams (primarily located in San Diego). To learn more about Genesis Therapeutics, or current employment opportunities, please visit our website.

Burlingame, CA