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Amplify Science Jobs in California (NOW HIRING)

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

You will be part of our ML/Data Science and Engineering teams focused on building and training ... We believe that when used to amplify our humanity, our technology has the power to do good in the ...

Vianai Systems

Data Scientist

Palo Alto, CA

$115K - $180K/yr

You will be part of our ML/Data Science and Engineering teams focused on building and training ... We believe that when used to amplify our humanity, our technology has the power to do good in the ...

Pilgrim

Scientist

Redwood City, CA · On-site

... science into decisive capabilities. Located in Redwood City, our team pairs mechanical and ... amplification, and sequencing preparation, maximizing recovery of low-abundance targets from ...

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Amplify Science information

See California salary details

$23.5K

$83.5K

$158.1K

How much do amplify science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for amplify science in California is $83,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,596.00 and $126,320.00 per year, depending on experience, location, and employer.

What does an Amplify Science do?

A typical day in an Amplify Science position often involves collaborating with educators to support curriculum implementation, developing or refining instructional materials, and troubleshooting technical or content-related questions. You may also conduct training sessions for teachers, analyze feedback from classroom experiences, and work closely with product and support teams to enhance the science program. The work environment is highly collaborative, dynamic, and mission-driven, providing ample opportunities to impact science education at scale. You'll regularly communicate with teachers, school administrators, and team members to ensure that programs are effectively meeting the needs of diverse learners.

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

To thrive in an Amplify Science role, you need a strong background in K–12 science education, curriculum development, and a solid understanding of current scientific practices, typically supported by teaching experience or an education degree. Familiarity with digital learning platforms, learning management systems (LMS), and Amplify’s proprietary software is often required. Excellent communication, collaboration, and organizational skills are essential to effectively support teachers, students, and school stakeholders. These competencies ensure the successful implementation of the Amplify Science curriculum and foster engaging, impactful science learning experiences.

What is an Amplify Science?

An Amplify Science job typically involves working with Amplify’s science curriculum, which blends hands-on investigations, literacy-rich activities, and interactive digital tools to engage students in scientific learning. Roles may include curriculum development, instructional support, teacher training, or sales and marketing of educational products. Employees in these positions help educators implement Amplify Science effectively in classrooms, ensuring alignment with Next Generation Science Standards (NGSS). Depending on the role, responsibilities may range from lesson planning and content creation to customer support and professional development for teachers.

What are the most commonly searched types of Amplify Science jobs in California? The most popular types of Amplify Science jobs in California are:
What are popular job titles related to Amplify Science jobs in California? For Amplify Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Amplify Science jobs in California look for? The top searched job categories for Amplify Science jobs in California are:
Amplify Science jobs near you
Infographic showing various Amplify Science job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 65% Full Time, 29% Part Time, 2% Temporary, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $83,492 per year, or $40.1 per hour.

Staff Research Scientist, AI Agents & LLMs

Snowflake

Menlo Park, CA • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Snowflake is a company focused on powering the era of the agentic enterprise, seeking AI-native thinkers to redefine how work gets done. The Staff Research Scientist will serve as a technical pillar within the AI research organization, responsible for defining research directions and developing models that turn enterprise data into self-directed, decision-making agents.
Responsibilities:
• Define research direction in Agentic AI and LLMs
• Develop models: train, fine-tune, and align models for enterprise reasoning and tool use
• Advance autonomous agents: drive state-of-the-art capabilities in multi-step reasoning and tool use
• Advance the stack: retrieval, grounding, memory, and multi-agent coordination
• Establish evaluation standards for reliability, safety, and efficiency
• Drive research breakthroughs into production within Snowflake’s platform
• Mentor and lead to amplify the team’s technical impact
• Contribute to the field through publications and open source
Qualifications:
Required:
• Ph.D. in Computer Science or a related field with a strong publication record
• Expertise in LLM development (training, fine-tuning, alignment, or post-training)
• Experience with agentic systems (multi-agent systems, tool use, or agent optimization)
• Strong systems thinking under real-world constraints (latency, cost, reliability)
• Proven technical leadership and end-to-end ownership
• Ability to translate research into impactful systems
Company:
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. Founded in 2012, the company is headquartered in San Mateo, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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