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Helix Jobsexternal in California (NOW HIRING)

Figure

Helix AI Engineer, Pretraining

San Jose, CA · On-site

$200K - $400K/yr

Helix AI Engineer, Pretraining Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in ...

Figure

Helix AI Engineer, Pretraining

San Jose, CA · On-site

$200K - $400K/yr

Helix AI Engineer, Pretraining Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in ...

The Helix School

Development Manager

San Rafael, CA · On-site

$200K/yr

Plan and launch the Helix Monthly Donor Program and grow participation via benefits including launching the Pedroncelli Helix wine club and other perks for members Campaigns, Appeals, and Events ...

The Helix School

Development Manager

San Rafael, CA · On-site

$200K/yr

Plan and launch the Helix Monthly Donor Program and grow participation via benefits including launching the Pedroncelli Helix wine club and other perks for members Campaigns, Appeals, and Events ...

The Helix School

Development Manager

San Rafael, CA · On-site

$85K - $105K/yr

Plan and launch the Helix Monthly Donor Program and grow participation via benefits including launching the Pedroncelli Helix wine club and other perks for members Campaigns, Appeals, and Events ...

The Helix School

Development Manager

San Rafael, CA · On-site

$85K/yr

Plan and launch the Helix Monthly Donor Program and grow participation via benefits including launching the Pedroncelli Helix wine club and other perks for members Campaigns, Appeals, and Events ...

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Helix information

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$42

How much do helix jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for helix in California is $27.08, according to ZipRecruiter salary data. Most workers in this role earn between $22.55 and $27.98 per hour, depending on experience, location, and employer.

What is a helix?

A 'Helix' job typically refers to positions at Helix, a company specializing in population genomics and DNA testing. Employees at Helix may work in roles such as software engineering, bioinformatics, laboratory operations, or customer support, all focused on furthering genetic research and providing health insights. Working at Helix often involves collaborating across scientific and technical teams to deliver accurate and meaningful genetic information to consumers. The company values innovation, data security, and creating a positive impact on public health.

What are the key skills and qualifications needed to thrive as a Helix developer, and why are they important?

To thrive as a Helix Developer, you need strong programming skills in Rust, a good understanding of systems programming, and experience with web frameworks, typically supported by a degree in computer science or related field. Familiarity with the Helix framework, Git for version control, and continuous integration tools is highly valued. Problem-solving ability, attention to detail, and effective communication set top Helix Developers apart. These skills are crucial for building reliable, efficient applications and collaborating effectively within development teams.

What are some typical challenges faced by laboratory technicians working with Helix sequencing platforms, and how can they be managed?

Laboratory technicians working with Helix sequencing platforms often encounter challenges such as maintaining high sample quality, troubleshooting instrument errors, and managing large data sets. Staying organized and following strict protocols is crucial to minimize contamination and ensure accurate results. Regular training on new platform updates and close collaboration with bioinformatics and quality assurance teams can help address technical issues efficiently. Developing strong problem-solving skills and maintaining clear communication will also support success in this fast-paced environment.

What is the difference between Helix vs Genetic Counselor?

AspectHelixGenetic Counselor
Required CredentialsTypically requires a bachelor's degree in a related field; certifications varyMaster's degree in genetic counseling and certification (ABGC)
Work EnvironmentLaboratories, data analysis, research settingsClinics, hospitals, patient consultations
Industry UsageGenomics, research, direct-to-consumer testingHealthcare, patient education, genetic risk assessment

Helix primarily focuses on genetic testing and data analysis, often in laboratory or research settings, while genetic counselors work directly with patients to interpret genetic information and provide counseling. Both roles require knowledge of genetics but differ in their work environment and credentials.

What are popular job titles related to Helix jobs in California?

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

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

The top searched job categories for Helix jobs in California are:

What cities in California are hiring for Helix jobs?

Cities in California with the most Helix job openings:

Helix jobs near you
Infographic showing various Helix job openings in California as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $56,329 per year, or $27.1 per hour.

Helix AI Engineer, Pretraining

San Jose, CA • On-site

Figure
See more jobs at Figureexternal

$200K - $400K/yr

Full-time

Re-posted 5 days ago

Job description

Helix AI Engineer, Pretraining

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.

Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Pretraining to build large-scale foundation models that learn from diverse data sources including text, images, video, and robot-collected experience.

This role focuses on advancing pretraining methods that enable generalization, reasoning, and adaptability—forming the backbone for downstream capabilities in perception, planning, and action.

Responsibilities

  • Design and train large-scale foundation models across multimodal data (e.g., text, vision, and robot data)
  • Develop pretraining strategies that improve generalization, reasoning, and transfer to downstream embodied tasks
  • Explore and implement architectures including transformer-based and emerging foundation model paradigms
  • Work on scaling laws, dataset mixture design, and training dynamics for frontier models
  • Build and optimize large-scale distributed training pipelines across multi-node GPU clusters
  • Collaborate closely with video, generative, agent, and robot learning teams to integrate pretrained models into the autonomy stack
  • Design evaluation frameworks to measure reasoning ability, robustness, and cross-domain generalization
  • Contribute to post-training approaches including fine-tuning, alignment, and model adaptation

Requirements

  • Experience training large-scale foundation models or working on pretraining for LLMs or multimodal systems
  • Strong understanding of modern deep learning architectures, especially transformers
  • Experience with large-scale distributed training and optimization
  • Proficiency in Python and deep learning frameworks such as PyTorch
  • Strong experimental rigor and ability to iterate on model design and training strategies
  • Solid software engineering skills and ability to build scalable, reliable systems
  • Ability to operate independently and drive ambiguous, high-impact technical problems

Bonus Qualifications

  • Experience working on frontier foundation models at companies such as Anthropic, OpenAI, Google DeepMind, or xAI
  • Experience with multimodal pretraining (vision-language or vision-language-action models)
  • Background in scaling laws, dataset curation, and large-scale data mixture optimization
  • Experience with post-training techniques such as RLHF, reward modeling, or alignment methods
  • Familiarity with embodied AI, robotics, or real-world deployment constraints
  • Publication record in machine learning, NLP, or multimodal AI

The US base salary range for this full-time position is between $200,000 - $400,000

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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