or apply directly on Scale AI's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 55 days Scale AI's roles stay open a median of 55 days
- Reposted
- No
- Salary listed
- No 2% of Scale AI's roles list one
- Ghost-job risk at Scale AI
- high 183 stale, 5 reposted of 217 open
- Hiring momentum
- 270 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-27
Measured from postings appearing on and disappearing from Scale AI's own greenhouse board since 2026-08-03. Full hiring picture for Scale AI.
About this role
In this role as a Software Engineer on the Platform team at Scale, you will design and develop foundational platforms and systems that support the company's AI products. Your day-to-day responsibilities will include collaborating with cross-functional teams, driving improvements in programming practices, and presenting technical information to stakeholders. You will also gain exposure to cutting-edge AI technologies as you work on cloud infrastructure and orchestration stacks.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Scale AI as an employer.
What you need
- 3+ years of full-time engineering experience, post-graduation with specialties in back-end systems
- Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)
- Track record of independent ownership of successful engineering projects
- Excellent communication and collaboration skills, with the ability to translate complex technical concepts to non-technical stakeholders
- Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker
- Experience with orchestration platforms, such as Temporal and AWS Step Functions
Nice to have
- Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)
- Experience with authentication/authorization systems (Zanzibar, Authz, etc.)
- Experience scaling products at hyper-growth startups
- Excitement to work with AI technologies
What you get
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Potential commuter stipend
- Equity-based compensation
Worth weighing
- Base salary range provided is specific to San Francisco and may vary by location
- 90-day waiting period for reconsideration of candidates for the same role
- Compensation details will be discussed during the interview process
Summarised from Scale AI's posting. Read the full original.
Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.
More roles at Scale AI
- Senior Product Design ManagerNew York, NY; San Francisco, CA
- Senior AI Product Manager, CodeNew York, NY; San Francisco, CA
- Enterprise Account ExecutiveSan Francisco, CA
- Enterprise Account Executive (Financial Services)New York, NY; San Francisco, CA
- Enterprise Account Executive (Healthcare & Life Sciences)New York, NY; San Francisco, CA
- Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAISan Francisco, CA; New York, NY
- Strategic Projects Lead, Red TeamSan Francisco, CA; New York, NY
- Strategic Projects Lead, Generative AISan Francisco, CA; New York, NY