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Active Learning Jobs in California (NOW HIRING)

Capable

Machine Learning Engineer

San Francisco, CA · On-site

$150K - $240K/yr

Build active-learning loops that connect in silico predictions to in vivo results. * Create internal evaluations that measure whether models and tools improve experimental throughput, candidate ...

New

NTENT

Machine Learning Engineer

Carlsbad, CA

Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required. The ideal candidate will be self-motivated, possess excellent ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required. The ideal candidate will be self-motivated, possess excellent ...

Apply

Senior Machine Learning Engineer

San Francisco, CA · On-site

$225 - $300/hr

Turn production failures and user feedback into better datasets, evaluations, and model behavior through active learning and systematic iteration. * Stay at the Cutting Edge: Distill insights from ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

... active learning, transformer-based language modeling, multimodal learning. * Experience developing and implementing deep learning models and algorithms using modern software libraries such as PyTorch ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

... active learning, transformer-based language modeling, multimodal learning. * Experience developing and implementing deep learning models and algorithms using modern software libraries such as PyTorch ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

... active learning, transformer-based language modeling, multimodal learning. * Experience developing and implementing deep learning models and algorithms using modern software libraries such as PyTorch ...

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Showing results 21-40

All JobsActive Learning JobsActive Learning Jobs in California

Active Learning information

See California salary details

$26

$40

$68

How much do active learning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for active learning in California is $40.16, according to ZipRecruiter salary data. Most workers in this role earn between $29.18 and $52.21 per hour, depending on experience, location, and employer.

What is active learning?

Active learning is a teaching approach that engages students directly in the learning process through activities and discussion, rather than passively receiving information from a lecturer. It often involves problem-solving, group work, or hands-on activities that encourage critical thinking and deeper understanding. In the context of machine learning, active learning refers to algorithms that interactively select the most informative data points to label, improving model performance with fewer labeled examples. Both uses of the term aim to make learning more efficient and effective by focusing on engagement and targeted effort.

What are the key skills and qualifications needed to thrive as an active learning specialist, and why are they important?

To thrive as an Active Learning Specialist, you need a solid background in instructional design, educational theory, and teaching methodologies, often supported by a degree in education or a related field. Familiarity with learning management systems (LMS), digital collaboration tools, and assessment platforms is typically required. Creativity, strong communication, and adaptability are vital soft skills for engaging learners and fostering interactive environments. These competencies are crucial for effectively designing and facilitating learning experiences that promote deep understanding and learner participation.

What are some common challenges faced by professionals in active learning roles, and how can they be addressed?

Professionals working in Active Learning roles often face challenges such as ensuring consistent student engagement, adapting instructional strategies to diverse learning styles, and keeping up with evolving educational technology. To address these, it's important to regularly solicit feedback from participants, collaborate with colleagues to share best practices, and participate in ongoing professional development. Additionally, leveraging data analytics can help tailor approaches to meet learners' needs more effectively, fostering a more inclusive and dynamic learning environment.

What is the difference between Active Learning vs Data Analyst?

AspectActive LearningData Analyst
Required CredentialsTypically a degree in education, psychology, or related fieldsBachelor's or master's in statistics, data science, or related fields
Work EnvironmentEducational settings, training programs, corporate learning environmentsBusiness, finance, healthcare, or tech industries analyzing data
Employer & Industry UsageSchools, universities, corporate training departmentsCompanies, consulting firms, research organizations
Common Search & Comparison IntentUnderstanding teaching methods, training strategiesAnalyzing data, generating reports, insights

Active Learning focuses on engaging learners through interactive methods in educational or training settings, while Data Analysts interpret data to inform business decisions. Both roles require analytical skills but serve different industry needs and environments.

What are active learning opportunities?

Active learning opportunities for an active learning role involve engaging in tasks that promote hands-on experience, such as participating in training sessions, workshops, or collaborative projects. These opportunities help develop skills like problem-solving, communication, and technical proficiency relevant to the job. They often include certifications, mentorship, or on-the-job training to enhance professional growth.

What are popular job titles related to Active Learning jobs in California?

For Active Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Active Learning jobs in California look for?

The top searched job categories for Active Learning jobs in California are:

Active Learning jobs near you
Infographic showing various Active Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $83,540 per year, or $40.2 per hour.

Machine Learning Engineer

Capable

San Francisco, CA • On-site

$150K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

New

Job description

We are a vibrant and intensely mission-driven team in San Francisco, comprising members from MIT, Harvard Medical School, Roche, ETH, and Dana-Farber.
We value speed and rigor, coupled with excitement, drive, and a strong work ethic. In an early-stage environment, we value people who can bring clarity to open-ended problems, take ownership of the next steps, and follow through with energy.
Capable Labs is a place for ambitious, high-integrity people who want to become dramatically better. You will be surrounded by people who care intensely about the work, get close feedback from the people making scientific and company-defining decisions, and have room to own increasingly important problems.
We believe excellent work should be met with meaningful reward, ownership, and trust. Responsibility is earned through contribution, not title alone: anyone who demonstrates the judgment, rigor, and follow-through to move important work forward can earn meaningful scope.
About the Role
You will build machine-learning systems that remove real bottlenecks from drug discovery and development. The role spans research and engineering: identifying valuable problems, adapting modern biomolecular models, building tools for scientists, and closing the loop between model predictions and wet-lab results. Success is measured by whether the systems accelerate better experiments and better drug-development decisions.
Responsibilities
  • Work with scientists to identify high-value bottlenecks in drug discovery and development where machine learning can materially improve speed or decision quality.
  • Build systems for experiment planning, literature triage, protocol drafting, in silico screening, candidate generation, filtering, and predictive analysis.
  • Fine-tune and apply biomolecular models such as ESM, AlphaFold-family models, RFdiffusion, ProteinMPNN, and related approaches using Capable's data.
  • Develop candidate-analysis workflows that may include molecular dynamics, post-training, probing, evaluation, and other fit-for-purpose computational methods.
  • Work directly with wet-lab scientists and operators to automate preclinical or clinical-development workflows and make tools usable in practice.
  • Build active-learning loops that connect in silico predictions to in vivo results.
  • Create internal evaluations that measure whether models and tools improve experimental throughput, candidate quality, or program decisions.

Ideal Qualifications
  • Strong research judgment in biomolecular modeling and drug development, or a demonstrated ability and desire to develop that judgment quickly.
  • The ability to own an ambiguous problem end to end, from identifying the useful question through building, evaluating, and improving a working system.
  • A practical interest in wet-lab reality and in building tools around the constraints of experiments, operators, data quality, and scientific decisions.
  • Curiosity, strong analytical instincts, and a habit of testing whether a method creates real-world value rather than relying on benchmark performance alone.
  • Experience with active learning, data-constrained biological modeling, multimodal omics, imaging, phenotypic data, or production-scale agent platforms is helpful but not required.

Pay & Benefits
  • In addition to the posted salary range, we offer generous equity options.
  • Compensation will depend on the skills, experience, and scope of impact you bring. If your background, experience, or compensation needs fall outside this range, we are still open to a conversation based on the scope and impact you could bring.
  • $500+ monthly wellness budget for training, supplements, coaching, recovery, or other tools that help you perform at your best.
  • Healthcare: We offer a broad range of medical, dental, and vision coverage options, with Capable covering 100% of the base policy.
  • You will also have access to HSA, FSA, and 401K plans.
  • Healthy dinners with the team are provided daily.
  • We support visa sponsorship where appropriate, including O-1, H-1B, J-1, TN, and other employment-based pathways. Our team is already international, with members from Canada, Pakistan, Germany, Austria, Switzerland, China, India, and the United States.

Application Process
Our process is fast, transparent, and personal. We care about getting to know the person behind the application.
  • Initial application
  • First phone screen
  • Second phone screen
  • In-person work trial in San Francisco: designed to give both sides a realistic sense of working together. Get to know the founding team!

Apply Today
Curious but not sure? Apply anyway. It takes 5 minutes, and you do not need to be actively job searching to start a conversation.
Some of the best people do not map perfectly to a job description. If this sounds like a place where you could do important work, we would like to hear from you.
And if someone exceptional comes to mind, send them our way here. We read every referral carefully, and if your referral joins Capable, we'll send you a thank-you bonus.
Equal Opportunity
Capable is an Equal Opportunity Employer; employment with Capable is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Apply