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Inkling Jobs in California (NOW HIRING)

We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building ...

Research, Safety

San Francisco, CA ยท On-site

$350K - $475K/yr

We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building ...

Showing results 21-40

Inkling information

What is an Inkling?

Inkling jobs typically refer to positions at Inkling, a company that provides a cloud-based digital learning platform designed for businesses. Employees at Inkling may work in a variety of roles such as software development, customer support, product management, instructional design, and sales. These roles focus on creating, managing, and supporting digital training solutions for clients. Working at Inkling often involves collaborating with cross-functional teams to deliver innovative learning experiences to enterprise customers.

What skills and qualifications are needed to thrive as an Inkling technical writer?

To thrive as an Inkling technical writer, you need strong writing, editing, and instructional design skills, often backed by a relevant degree or experience in content development. Familiarity with the Inkling platform, content management systems (CMS), and markup languages like XML or HTML is typically required. Attention to detail, adaptability, and collaboration are crucial soft skills for creating engaging, accurate, and user-friendly digital documentation. These competencies ensure the production of high-quality, interactive content that meets organizational and user needs.

What are common challenges faced by instructional designers at Inkling, and how can they be overcome?

Instructional designers at Inkling often encounter challenges such as adapting content to evolving digital formats, collaborating across departments, and meeting tight project deadlines. Success in this role involves staying current with learning technologies, maintaining clear communication with subject matter experts, and leveraging Inkling's collaborative tools for efficient content creation. Regular feedback sessions and proactive project management can help address these challenges and ensure high-quality deliverables.

What is the difference between Inkling vs Instructional Designer?

AspectInklingInstructional Designer
Required CredentialsTypically a background in instructional technology, e-learning tools, or related fieldsOften holds degrees in education, instructional design, or related disciplines
Work EnvironmentPrimarily digital, creating interactive e-learning contentCan be digital or classroom-based, designing curricula and learning experiences
Employer & Industry UsageUsed by e-learning companies, corporate training, and educational institutionsEmployed across education, corporate training, and government sectors
Common Search & ComparisonYesYes

While Inkling focuses on creating interactive digital learning content, Instructional Designers develop comprehensive curricula and training programs, often combining digital and traditional methods. Both roles require a background in education or technology, but Inkling specialists are more tech-centric, whereas Instructional Designers have broader instructional planning expertise.

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

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

What cities in California are hiring for Inkling jobs?

Cities in California with the most Inkling job openings:

Infographic showing various Inkling job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Software Engineer, Systems Generalist

Thinking Machines Lab

San Francisco, CA โ€ข On-site

$350K - $475K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 11 days ago


Key responsibilities

  • Build and maintain core infrastructure supporting AI model training, research, and deployment, including large Kubernetes clusters with GPU workloads.

  • Design, develop, and optimize data pipelines and data infrastructure to support research and product development.

  • Create tooling, systems, and frameworks to improve developer productivity and ensure efficient project delivery.


Job description

About Thinking Machines
The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.
About the Role
We're looking for generalist infrastructure and systems engineers to help build the systems that power our foundation models and the internal teams on research and product development to be able to create the models and ship the products powered by our models.
You'll join a small, high-impact team responsible for architecting and scaling the core infrastructure behind everything we do. You'll work across the full technical stack, solving complex distributed systems problems and building robust, scalable platforms.
Infrastructure is critical to us: it's the bedrock that enables every breakthrough. You'll work directly with researchers to accelerate experiments, improve infrastructure efficiency, and enable key insights across our models, products, and data assets.
What You'll Do
We interview generally, but during project selection we'll take into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the infrastructure teams where they'll have the greatest impact and growth potential.
Here are example areas you may contribute to depending on your area of expertise and interest:
  • Core Infrastructure: We support teams that train, research, and ultimately serve AI models and build the underlying infrastructure for the clusters to reliably and safely train frontier models. Examples might include building systems and running large Kubernetes clusters with GPU workloads, or building infrastructure to support Tinker.
  • Data Infrastructure: We build and maintain the data systems for our research and products. You'll design and optimize data pipelines using tools like Spark and other modern data infrastructure technologies. You'll build scalable, reliable, data infrastructure while embedding governance best practices.
  • Developer Productivity: We care deeply about research and engineering productivity and our ability to continue shipping quickly. We build tooling, systems, frameworks, and systems to make sure everyone gets well configured, optimized developer environments.
Skills and Qualifications
Minimum qualifications
  • Bachelor's degree or equivalent experience in computer science, engineering, or similar.
  • Proficiency in at least one backend language (we use Python or Rust).
  • Experience operating largeโ€‘scale clusters and container orchestration systems (e.g. Kubernetes or Slurm).
  • Comfort operating across the stack and owning projects end-to-end.
  • Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
  • A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
Preferred qualifications
  • Strong debugging across application, OS, and network layers.
  • Proficiency in Python or Rust (or similar), containers, and modern CI.
  • Experience with Kubernetes, controllers/operators, or performance profiling.
  • Familiarity with GPU/ML workflows or largeโ€‘scale data/eval pipelines.
Logistics
  • Location: This role is based in San Francisco, California.
  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.