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Temporary Co Op Computer Science Jobs in California

Maesa

Design Engineer Co-Op

Los Angeles, CA · On-site

$20 - $21/hr

This role is ideal for students pursuing a degree in Mechanical Engineering, Packaging Science ... Support the conversion of conceptual packaging designs into engineered 3D CAD models suitable for ...

Maesa

Design Engineer Co-Op

Los Angeles, CA

$20 - $21/hr

This role is ideal for students pursuing a degree in Mechanical Engineering, Packaging Science ... Support the conversion of conceptual packaging designs into engineered 3D CAD models suitable for ...

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All JobsCo Op Computer Science JobsTemporary Co Op Computer Science JobsTemporary Co Op Computer Science Jobs in California

Temporary Co Op Computer Science information

What is the difference between Temporary Co Op Computer Science vs Intern Computer Science?

AspectTemporary Co Op Computer ScienceIntern Computer Science
CredentialsTypically enrolled in a computer science program, may require a resume and academic transcriptsUsually students seeking internship experience, may require a resume and academic transcripts
Work EnvironmentPaid, structured work placements often lasting several months, integrated into academic programsPaid or unpaid, short-term positions, often part-time or summer roles
Employer & Industry UsageCommon in tech companies, software firms, and IT departments for skill developmentCommon across tech, startups, and corporate environments for gaining industry exposure

In summary, a Temporary Co Op Computer Science position is a structured, often paid work placement integrated with academic programs, focusing on skill development over a longer period. An Intern Computer Science role is typically shorter, may be unpaid, and serves as an entry-level opportunity for students to gain industry experience.

What are the most commonly searched types of Temporary Computer Science jobs in California? The most popular types of Temporary Computer Science jobs in California are:
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What cities in California are hiring for Temporary Co Op Computer Science jobs? Cities in California with the most Temporary Co Op Computer Science job openings:
Temporary Co Op Computer Science jobs near you

Co-Op, ML Scientist for Biology

Lila Sciences

San Francisco, CA

Other

Posted 18 days ago

Job description

Your Impact at LILA

Lila is building a platform where AI and automation co-evolve to solve hard problems across scientific domains. Within Life Sciences AI, we are developing autonomous-science capabilities for biological systems, spanning multiple biological domains and resolutions, based on multi-modal data and foundation models.

We are seeking a Co-Op, LS AI, ML Scientist for Biology to contribute to cutting-edge research on how to effectively evaluate, guide, and reinforce agentic model behavior in this domain.

This is an opportunity to work alongside Lila scientists on early-stage research in autonomous life science AI. You will help explore reasoning models, evaluation and benchmark datasets, and workflows that connect modern AI methods to real biological questions, gaining hands-on experience in a fast-moving scientific environment.

What You'll Be Building

  • Contribute to ML research on reasoning models for biological discovery and autonomous science.
  • Explore methods to evaluate, guide, and reinforce agentic model behavior in biological domains.
  • Help develop evaluation and benchmark datasets for biological reasoning tasks.
  • Analyze multi-modal biological data to identify useful signals for model evaluation and improvement.
  • Prototype workflows that connect model reasoning, evaluation, and scientific feedback.
  • Communicate findings through code, notebooks, written summaries, and presentations.

What You'll Need to Succeed

  • Currently enrolled in a PhD program in Computer Science, Machine Learning, Computational Biology, Bioengineering, or a related quantitative field.
  • Research experience in machine learning, AI for science, computational biology, or biological data analysis.
  • Strong programming skills in Python and experience with modern ML frameworks such as PyTorch, JAX, or similar tools.
  • Experience working with biological, scientific, or multi-modal datasets.
  • Interest in reasoning models, agentic systems, evaluation methods, or benchmark design.
  • Interest in closed-loop scientific discovery, autonomous labs, or AI systems that interact with experimental feedback.
  • Ability to communicate research findings clearly through code, notebooks, written summaries, and presentations.
  • Comfort working in a collaborative, cross-disciplinary research environment.

Bonus Points For

  • Experience with reasoning models, agentic systems, reinforcement learning, or model evaluation.
  • Experience developing benchmarks, evaluation datasets, or model assessment workflows.
  • Publications, preprints, talks, posters, or workshop presentations in ML, AI for science, computational biology, or related scientific venues.

Apply