ZipRecruiter

Log In

1

Accelerate Learning Jobs in California (NOW HIRING)

Walmart

Senior Product Manager - Fulfillment

Milpitas, CA · On-site

$117K - $234K/yr

Move beyond traditional product development approaches by embracing rapid experimentation, iterative delivery, and data-informed decision-making to accelerate learning and value creation. * Influence ...

Walmart

IT Product manager - Senior

Mountain View, CA

$117K - $234K/yr

Move beyond traditional product development approaches by embracing rapid experimentation, iterative delivery, and data-informed decision-making to accelerate learning and value creation. * Influence ...

Walmart

Senior Digital Product Manager

San Jose, CA · On-site

$117K - $234K/yr

Move beyond traditional product development approaches by embracing rapid experimentation, iterative delivery, and data-informed decision-making to accelerate learning and value creation. * Influence ...

Walmart

Senior Digital Product Manager

Mountain View, CA · On-site

$117K - $234K/yr

Move beyond traditional product development approaches by embracing rapid experimentation, iterative delivery, and data-informed decision-making to accelerate learning and value creation. * Influence ...

Walmart

IT Product manager - Senior

Milpitas, CA · On-site

$117K - $234K/yr

Move beyond traditional product development approaches by embracing rapid experimentation, iterative delivery, and data-informed decision-making to accelerate learning and value creation. * Influence ...

Walmart

Senior Scrum Master

Hayward, CA

$117K - $234K/yr

Move beyond traditional product development approaches by embracing rapid experimentation, iterative delivery, and data-informed decision-making to accelerate learning and value creation. * Influence ...

Walmart

Senior Digital Product Manager

Milpitas, CA · On-site

$117K - $234K/yr

Move beyond traditional product development approaches by embracing rapid experimentation, iterative delivery, and data-informed decision-making to accelerate learning and value creation. * Influence ...

next page

Showing results 1-20

All JobsAccelerate Learning JobsAccelerate Learning Jobs in California

Accelerate Learning information

What are the key skills and qualifications needed to thrive in the Accelerate Learning position, and why are they important?

To thrive in an Accelerate Learning role, you generally need a solid foundation in instructional design, curriculum development, and education technology, often supported by a degree in education or a related field. Familiarity with learning management systems (LMS), digital content creation tools, and data analytics platforms is typically required. Strong communication, collaboration, and problem-solving skills help you effectively engage with educators, students, and cross-functional teams. These competencies are crucial for designing impactful learning solutions and ensuring continuous improvement in educational outcomes.

What is an Accelerate Learning job?

An Accelerate Learning job typically involves developing and implementing educational programs, curricula, or technologies designed to enhance the learning process. Professionals in this role may work in schools, educational companies, or corporate training environments, focusing on improving student outcomes through innovative instructional methods. Responsibilities can include curriculum design, teacher training, educational research, and leveraging technology to improve learning efficiency. These roles aim to create engaging and effective learning experiences to help individuals acquire knowledge and skills more efficiently.

What kinds of projects or initiatives might someone in an Accelerate Learning role typically work on?

Professionals in an Accelerate Learning position often work on creating and refining educational programs, developing interactive digital resources, and implementing new teaching methodologies. You may collaborate closely with teachers, subject matter experts, and technology teams to ensure learning solutions meet both curriculum standards and student needs. Projects can include pilot-testing new educational software, facilitating professional development workshops for educators, and analyzing learning data to optimize program effectiveness. This dynamic role offers opportunities to impact classroom learning, gain expertise in emerging educational technologies, and advance to senior curriculum or program management positions.

What are popular job titles related to Accelerate Learning jobs in California? For Accelerate Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Accelerate Learning jobs in California look for? The top searched job categories for Accelerate Learning jobs in California are:
What cities in California are hiring for Accelerate Learning jobs? Cities in California with the most Accelerate Learning job openings:
Accelerate Learning jobs near you
Infographic showing various Accelerate Learning job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Machine Learning Engineer: Imitation and Reinforcement Learning for Robotics

Bedrock Robotics

San Francisco, CA • On-site

Full-time

Posted 7 days ago

Job description

Join the team bringing advanced autonomy to the built world
At Bedrock, we're moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.
This is where algorithms meet steel-toed boots. You'll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team-we'd love to have you join us.
We're looking for a Machine Learning Engineer with a focus on behavior learning, specifically data-driven behavior policies and robust data infrastructure. In this role, you'll be responsible for developing and scaling state-of-the-art learning architectures, while also building the data systems that make these models reliable, scalable, and reproducible in production.
What You'll Do:
  • Design, train, validate, and launch models for behavior cloning and reinforcement learning
  • Build and maintain data ingestion, labeling, and management pipelines to ensure high-quality training datasets
  • Build metrics to evaluate model performance in open loop, simulation, and in the real world
  • Collaborate with simulation, systems, and infrastructure teams to integrate ML models into real-world autonomous systems
  • Deploy and debug these models in real-world environments, addressing practical issues such as latency, hardware constraints, and system integration

What We're Looking For:
  • 3+ years of practical experience applying Machine Learning with Deep Learning frameworks, such as PyTorch/Tensorflow/JAX to solve real-world problems
  • 3+ years of professional experience building, deploying, and maintaining Machine Learning models in production environments
  • Familiarity with recent literature and methods in learned behavior policies
  • Practical experience in behavior cloning and/or reinforcement learning
  • Bonus: Experience with diffusion policies, Vision-Language-Action (VLA) models, or related technologies
  • Bonus: Published work in conferences such as ICRA, IROS, CoRL, CVPR, ECCV, ICCV, ICML, NeurIPS, ...

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.

Apply