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Root Learning Jobs (NOW HIRING)

... for how Root learns to work with AI, connect the needs uncovered in real workflows to AI Platform strategy, and lead the initiatives that turn local learning into reusable company capabilities.

... root causes and recommend the right intervention, whether developmental, facilitative, or ... Deep grounding in adult learning theory, instructional design, OD methodologies, and change ...

Design initiatives from the ground up, including defining the problem through root cause analysis ... Flex across Learning Team priorities as organizational needs evolve, taking full ownership of new ...

Design initiatives from the ground up, including defining the problem through root cause analysis ... Flex across Learning Team priorities as organizational needs evolve, taking full ownership of new ...

$75K - $99K/yr

Root is on a mission to unbreak insurance by creating experiences people love at prices they can't ... As a Lead Machine Learning Engineer , you are responsible for core team delivery and operations ...

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Root Learning information

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$26

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$69

How much do root learning jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for root learning in the United States is $40.70, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $52.88 per hour, depending on experience, location, and employer.

What is a Root Learning?

Root Learning jobs typically involve creating educational materials and visual aids that simplify complex business processes, strategies, or changes within organizations. Professionals in these roles use visual storytelling, graphics, and interactive learning tools to help employees understand and engage with important information. Root Learning specialists often work with organizations during times of change, such as during mergers, new system implementations, or cultural shifts, to ensure everyone is aligned and informed. These roles require skills in communication, instructional design, and visual thinking.

What skills and qualifications are needed to thrive as a Root Learning professional?

To thrive as a Learning Experience Designer, you need expertise in instructional design, adult learning principles, and curriculum development, often supported by a degree in education or a related field. Familiarity with e-learning authoring tools (such as Articulate Storyline or Adobe Captivate), learning management systems (LMS), and possibly certifications like CPLP or ATD are typically required. Creativity, strong communication, and collaboration skills help designers create engaging, learner-centered experiences and work effectively with stakeholders. These skills ensure the development of impactful learning solutions that drive organizational performance and learner engagement.

How does a Root Learning consultant typically collaborate with clients and internal teams during a project?

As a Root Learning Consultant, you’ll work closely with client stakeholders to understand their organizational challenges and learning objectives. Collaboration involves regular meetings to gather insights, co-develop learning solutions, and iterate on deliverables based on feedback. Internally, you’ll partner with instructional designers, graphic artists, and project managers to ensure that the final learning experience aligns with both client needs and Root Learning’s standards. Strong communication and project management skills are essential, as you'll often bridge the gap between the client’s vision and the creative team’s execution.

What is the difference between Root Learning vs Instructional Designer?

AspectRoot LearningInstructional Designer
CredentialsTypically requires training in learning theories, instructional design, or related certificationsRequires degrees or certifications in instructional design, education, or related fields
Work EnvironmentOften works in corporate training, e-learning development, or educational settingsWorks in educational institutions, corporate training, or e-learning development
Industry UsageCommonly used in corporate training and development sectorsWidely used across education, corporate, and government sectors

Root Learning focuses on creating engaging learning experiences often through visual storytelling and innovative methods, while Instructional Designers develop structured educational programs and materials based on pedagogical principles. Both roles aim to enhance learning but differ in approach and scope.

More about Root Learning jobs

What states have the most Root Learning jobs?

States with the most job openings for Root Learning jobs include:

Infographic showing various Root Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $84,648 per year, or $40.7 per hour.

Director, Machine Learning, Virtual Cell Initiative

Palo Alto, CA • On-site, Remote

Arc Institute
Biotechnology Research and Development • 51 - 200 employees

$380K - $420K/yr

Full-time

Re-posted 19 days ago


Job description

About Arc Institute
Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. Founded in 2021 and based in Palo Alto, Arc partners with Stanford University, UC Berkeley, and UC San Francisco.
Unlike academia, our scientists have long-term funding and industry-like resources. Unlike industry, they're free to pursue high-risk, long-term research without commercial pressures. Arc's Technology Centers and Core Investigator labs work side by side, integrating experimental and computational biology under one roof to tackle problems neither could solve alone.
Our two Institute Initiatives reflect this model in action:
  • Virtual Cell Initiative: Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets, accelerating the path from biological insight to clinical trials.
  • Alzheimer's Disease Initiative: Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.

More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.
Why this position could be the best job you've ever had?
  • Work at the center of AIxBio with the potential to revolutionize drug discovery for the world.
  • Work in a unique environment that incorporates both wet lab data generation and frontier AI modelling in an active learning loop.
  • Join a new type of research org that fuses high-velocity execution of a startup with the intellectual rigor of a world-class academic institute, with a long runway to tackle some of the hardest - and highest potential - challenges in science today.
  • Collaborate with some of the most accomplished scientists and entrepreneurs in the world.

About the position
We are searching for an innovative scientific leader experienced in building predictive models based on single-cell genomic data. The chosen candidate will spearhead the development and application of advanced machine learning models tailored for perturbative gene expression modeling, in the context of Arc's virtual cell initiative.
About you
  • You are passionate about machine learning, ideally with experience or strong interest in biology and single-cell genomics.
  • You want to develop highly innovative and accurate biology-inspired multimodal machine learning models.
  • You are excited about collaborating with a multidisciplinary team of computational and experimental biologists at Arc.
  • You are a strong communicator, capable of translating complex technical concepts at the intersection of machine learning and biology.
  • You are a continuous learner.
  • You are interested in recruiting and managing your own group of scientists and engineers as well as mentoring and training for other scientists.

In this position you will
  • Lead/build a team of 6 ML research scientists and engineers augmented with undergrad/masters/PhD students to contribute to the development of a state-of-the-art foundation model and agentic framework for understanding how cells respond to perturbations.
  • Work in an active learning loop with Arc's wet lab scientists to shape the world's largest and most diverse set of single cell training data across many cell contexts.
  • Collaborate closely with other research groups to integrate genomics, functional track,and omics data more broadly beyond scRNA-seq data and Perturb-seq
  • Stay up to date on the latest in frontier ML research and pioneer new architectures and approaches.
  • The ultimate goal is to build a high utility virtual cell model for use by biologists worldwide. We publish our breakthroughs to widely accelerate scientific progress and partner with some of the biggest names in AI.
  • Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others.
  • Attract the very best talent in the world to support VCI initiative goals

Requirements
  • PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field.
  • Minimum of 5 years of experience working in/with machine learning, well versed in frameworks such as Pytorch, TensorFlow, JAX, etc.
  • Proven experience leading research teams in a fast paced, multi-disciplinary environment.
  • Experience with or strong interest in biology with ability to communicate and collaborate successfully with biologists and pure ML engineers.
  • Excellent communication skills, both written and verbal, with a strong track record of presentations and publications.

The base salary range for this position is $380,000-$420,000. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.