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Bedrock Learning Jobs (NOW HIRING)

Engineer, Backend

San Mateo, CA · On-site

$150K - $230K/yr

Continuous Learning and Adaptation: * * Stay updated with industry trends and emerging technologies. * Adapt to changing requirements and business needs. Compensation Bedrock hires across a range of ...

... Bedrock, customize Generative AI models, and help enterprise customers leverage these models to ... learning algorithms under Gen AI. You will build prototypes, troubleshoot customer issues, and ...

... Bedrock, customize Generative AI models, and help enterprise customers leverage these models to ... learning algorithms under Gen AI. You will build prototypes, troubleshoot customer issues, and ...

... at Bedrock, helping shape how future work and teams scale Required Qualifications: * 5+ years of experience in data science, applied analytics, or applied machine learning roles * Comfort operating ...

Job Summary : Bedrock Data is a company focused on enhancing data security through innovative ... Propose and implement novel solutions to complex challenges. • Continuous Learning and Adaptation:

Machine Learning Engineer

Plano, TX · On-site

$120 - $150/hr

Overview Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI ... Integrate LLM and Generative AI APIs using providers such as AWS Bedrock , OpenAI , and others.

... Bedrock, customize Generative AI models, and help enterprise customers leverage these models to ... learning algorithms under Gen AI. You will build prototypes, troubleshoot customer issues, and ...

WI · On-site

$106.61 - $260.59/hr

In this role, you will work across AWS Bedrock , GCP Vertex AI , serverless compute, event‑driven ... Drive the development and implementation of advanced machine learning models and algorithms to ...

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Bedrock Learning information

See salary details

$32.5K

$63.8K

$99.5K

How much do bedrock learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for bedrock learning in the United States is $63,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $75,000.00 per year, depending on experience, location, and employer.

What is the difference between Bedrock Learning vs Bedrock Teacher?

AspectBedrock LearningBedrock Teacher
CredentialsTypically requires a teaching certification or relevant education backgroundRequires a teaching certification and classroom experience
Work EnvironmentEducational settings, classrooms, online platformsClassrooms, schools, educational institutions
Industry UsageUsed by educational organizations, tutoring services, online learning platformsPrimarily in schools and educational institutions
Job FocusDeveloping and delivering educational content, curriculum designTeaching students, classroom management, student assessment

While both roles are involved in education, Bedrock Learning focuses on content development and online learning solutions, whereas Bedrock Teacher emphasizes direct classroom instruction and student engagement. Understanding these differences helps job seekers identify the right career path in the education industry.

What are the key skills and qualifications needed to thrive as a Bedrock Learning Specialist, and why are they important?

To thrive as a Bedrock Learning Specialist (typically an educator or literacy consultant using Bedrock Learning's platform), you need a background in teaching, literacy, or education, often supported by relevant degrees or teaching certifications. Familiarity with digital learning tools, particularly the Bedrock Learning platform and other educational technology systems, is essential. Strong communication, adaptability, and the ability to engage and motivate students are crucial soft skills. These skills ensure effective vocabulary instruction, positive student outcomes, and successful integration of digital literacy solutions in educational settings.

What is Bedrock Learning?

Bedrock Learning is an educational technology company that provides digital learning platforms focused on improving literacy and language skills in students. Their main offerings include interactive lessons on vocabulary, grammar, and reading comprehension, designed for both primary and secondary school students. Bedrock Learning is widely used by schools to support curriculum delivery and track student progress. The platform aims to close language gaps and enhance students' academic performance through engaging, evidence-based content.

How does a Bedrock Learning Specialist typically collaborate with teachers and school staff to support student literacy development?

A Bedrock Learning Specialist works closely with teachers and school administrators to implement literacy programs and monitor student progress. Collaboration often includes co-planning lessons, providing training on the Bedrock platform, and analyzing student data to tailor instruction. Specialists may also facilitate workshops or offer one-on-one support to ensure effective use of resources. This teamwork helps create a cohesive approach to improving literacy outcomes across the school.
More about Bedrock Learning jobs
Infographic showing various Bedrock Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $63,781 per year, or $30.7 per hour.

Machine Learning Engineer: Imitation and Reinforcement Learning for Robotics

Bedrock Robotics

San Francisco, CA • On-site

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Bedrock Robotics is a company focused on deploying autonomous systems in the construction industry. They are seeking a Machine Learning Engineer to develop and scale learning architectures and ensure reliable data systems for behavior learning models.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Preferred:
• Experience with diffusion policies, Vision-Language-Action (VLA) models, or related technologies
• Published work in conferences such as ICRA, IROS, CoRL, CVPR, ECCV, ICCV, ICML, NeurIPS, ...
Company:
Bedrock Robotics enables the construction sector to grow at the rate that modern civilization requires. Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.