Build infrastructure for ML researchers at SpaceXSI, enhancing product usage and model performance in a high-ownership environment.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Design core platform systems
- Build core platform systems
- Operate core platform systems
- Partner with research
- Own reliability and performance
Must have
- Bachelor's, Master's, or PhD in computer science or related field
- 5+ years of industry experience with production distributed systems
Nice to have
- Experience owning production distributed systems at scale
- Experience partnering with ML researchers
- Telemetry experience
- Product Data Platform experience
- Observability experience
- ML DevX and Systems experience
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Software Engineer on the ML Platform at SpaceXSI, the individual will focus on developing and maintaining the infrastructure that enhances machine learning models based on real product usage. Key skills include experience with distributed systems, data pipelines, and a strong understanding of machine learning frameworks. This position is ideal for seasoned engineers with a background in building scalable systems who thrive in a high-ownership environment. The team operates in a collaborative setting, closely partnering with researchers to address challenges and improve platform capabilities.
Joblaze insights
- Listed yesterday — first seen on Joblaze November 10, 2026. Last confirmed on Cursor's careers page November 10, 2026.
- This exact title is also open at 1 other location at Cursor: Palo Alto, CA.
- Salary band is below the typical range for AI/ML roles (median ~$189,308).
- Starts above 8% of 72 comparable senior ai/ml roles in United States that list Machine Learning we track (median $200,000 across 38 companies). See Machine Learning salary trends
- Machine Learning appears in 18.8% of 560 comparable senior ai/ml roles in United States; OpenTelemetry appears in 0.4% of 560 comparable senior ai/ml roles in United States.
Quick facts
- Is the Software Engineer, ML Platform role remote?
- No — this is an on-site role in Palo Alto, CA, United States.
- What's the salary range?
- Cursor lists $140,000–$225,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Software Engineer, ML Platform role.
- Where is the role based?
- Cursor is hiring for this position in Palo Alto, CA, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Data Pipelines, Flink, GPU, Machine Learning, OpenTelemetry, Ray.
- What seniority level is this role?
- Cursor targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, ML Platform role at Cursor.
From the original posting
SOFTWARE ENGINEER, ML PLATFORM
As a Software Engineer on ML Platform at SpaceXSI, you'll build the infrastructure that turns real product usage into better models, and keeps research moving fast on large GPU fleets. ML Platform is organized into four teams. Depending on your background, you may join any of them. We're looking for strong distributed-systems and infrastructure engineers who want to sit next to research and ship platform primitives that move the product.
RESPONSIBILITIES:
Design, build, and operate core platform systems used daily by ML researchers and product engineers
Partner closely with research to turn recurring pain into durable infrastructure
Own reliability, performance, and developer experience for the systems in your lane
Ship iteratively in a flat, high-ownership environment. Measure impact, then raise the bar
BASIC QUALIFICATIONS:
Bachelor's, Master's, or PhD in computer science, machine learning, or another quantitative discipline; OR equivalent work experience
5+ years of industry experience working with production distributed systems (e.g., infrastructure, ingestion, data pipelines, or scheduling/orchestration, etc.)
PREFERRED SKILLS AND EXPERIENCE:
Experience owning production distributed systems at meaningful scale (ingestion, data pipelines, scheduling/orchestration, or similar)
Experience partnering and building platforms for ML researchers and product engineers
Thrive where ownership is high and the feedback loop is short
Telemetry: event ingestion, product analytics pipelines, OpenTelemetry / tracing, reliable data APIs
Product Data Platform: data frameworks, Spark / Flink / Ray, ML dataset and training-data infrastructure
Observability: experiment / run monitoring, debug and eval tooling, agent-friendly observability UX
ML DevX and Systems: GPU / cluster scheduling, job queues, node health, research compute developer experience
ADDITIONAL REQUIREMENTS:
We're in-person with cozy offices in North Beach, San Francisco, Palo Alto, and Manhattan, New York, complete with well-stocked libraries
If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team
COMPENSATION AND BENEFITS:
The annual compensation range for this role is listed below.
Annual Salary:
$140,000 - $225,000 USD
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Standard company text repeated across Cursor's postings is omitted here.