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Senior Software Engineer, Full-Stack – Scale GP

Remote Posted Jul 01, 2026 0 views

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Job description

Scale AIJobs
Senior Software Engineer Full-Stack – Scale GP

Senior Software Engineer Full-Stack – Scale GP

Reposted 6 Hours Ago
Be an Early Applicant
2 Locations
In-Office
216K-270K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
The Senior Full-Stack Engineer will develop and scale web applications manage frontend and backend operations and work with AI systems and databases to enhance product experiences.
Summary Generated by Built In

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval inference evaluation and more. We are seeking a strong Senior Full-Stack Engineer to help us build scale and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack—from React/TypeScript frontends to Python-based backends—while integrating with LLMs and machine learning systems.

You will solve complex challenges in scalability reliability and product experience while owning significant product areas in a fast-paced environment.

What You’ll Do
  • Own major full-stack product areas driving features from design through production deployment.
  • Build modern frontend experiences using React and TypeScript ensuring performance usability and responsiveness.
  • Develop reliable backend services in Python working with distributed systems data pipelines and ML/LLM components.
  • Integrate with LLMs vector databases and AI infrastructure to power intelligent product experiences.
  • Deliver experiments and new features quickly maintaining high quality and tight feedback loops with customers.
  • Collaborate across product ML and infrastructure teams to shape the direction of Scale GP.
  • Adapt quickly—learning new technologies frameworks and tools as needed across the stack.
Ideal Experience
  • 5+ years of full-time engineering experience post-graduation.
  • Strong experience developing full-stack applications using React TypeScript and Python.
  • Experience scaling or shipping products at high-growth startups.
  • Familiarity with LLMs vector databases embeddings or other modern AI tooling (tinkering or production experience welcome).
  • Proficiency with SQL and modern API development.
  • Experience with Kubernetes containerization and microservice architectures.
  • Experience working with at least one major cloud provider (AWS GCP or Azure).

Compensation packages at Scale for eligible roles include base salary equity and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors including job-related skills experience qualifications interview performance and relevant education or training. Scale employees in eligible roles are also granted equity based compensation subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including but not limited to: comprehensive health dental and vision coverage retirement benefits a learning and development stipend and generous PTO. Additionally this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes the base salary range for this full-time position in the locations of San Francisco New York Seattle is:
$216000$270000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Ernst & Young Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability status gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect retain and use personal data for our professional business purposes including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs provide our services and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Skills Required

  • 5+ years of full-time engineering experience
  • Strong experience developing full-stack applications using React TypeScript and Python
  • Experience scaling or shipping products at high-growth startups
  • Proficiency with SQL and modern API development
  • Experience with Kubernetes containerization and microservice architectures
  • Experience working with at least one major cloud provider (AWS GCP or Azure)

Scale AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.

  • Healthcare StrengthHealthcare coverage is described as comprehensive across medical dental and vision with flexibility to choose plans that fit individual or family needs. A monthly wellness stipend further supports physical and mental wellbeing expenses.
  • Equity Value & AccessibilityEquity-based compensation is included in eligible packages positioning ownership as a meaningful component of total rewards for many full-time roles. An employee stock purchase plan also provides an additional pathway to participate in potential upside.
  • Leave & Time Off BreadthPaid time off is positioned as generous with a flexible policy intended to support recharging and burnout prevention. Paid holidays and paid sick days are also part of the time-off offering.

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The Company
HQ: San Francisco CA
523 Employees
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR image video and NLP annotation APIs allow machine learning teams at companies like OpenAI Lyft Pinterest and Airbnb focus on building differentiated models vs. labeling data.

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