or apply directly on Anthropic's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days Anthropic's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- No 0% of Anthropic's roles list one
- Ghost-job risk at Anthropic
- high 276 stale, 19 reposted of 603 open
- Hiring momentum
- 795 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Anthropic's own greenhouse board since 2026-08-03. Full hiring picture for Anthropic.
About this role
As a Data Infrastructure Engineer on the Pre-training team at Anthropic, you will design and implement data processing infrastructure for large language model training, focusing on scalability and performance. Your role involves developing core processing primitives, ensuring data quality, and collaborating with research teams to create effective data pipelines. This position combines practical engineering with cutting-edge AI research to contribute to the development of safe and trustworthy AI systems.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 5/5
- 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 Anthropic as an employer.
What you need
- 5+ years of experience outside of internships
- Strong software engineering skills with experience building high-throughput fault-tolerant distributed systems
- Hands-on experience with distributed computing frameworks, particularly Apache Spark
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to work in a collaborative environment
- Advanced degree in Computer Science or related field
Nice to have
- Significant experience building high-throughput fault-tolerant distributed systems
- Expertise with Python and Rust
- Passionate about system reliability and performance
- Comfortable working with ambiguous requirements and evolving specifications
- Ability to take ownership of problems and drive solutions independently
What you get
- Competitive compensation
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space for collaboration
Worth weighing
- No specific mention of remote work flexibility beyond 25% in-office requirement
- Visa sponsorship is available but not guaranteed for every role
- Annual salary range is quite broad, which may indicate variability in compensation based on experience or negotiation
Summarised from Anthropic's posting. Read the full original.
Listed by Anthropic on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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