Join SpaceXAI as a Software Engineer to bridge frontier models with user-facing products at scale.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 hour ago
Skills & Technologies
What you'll build
- Get new frontier models into users' hands
- Evaluate internal and external preview models
- Build Cursor Router
- Build signals for model performance
- Partner with research, inference, product, and data science teams
Must have
- Track record of shipping production systems
- Built and operated evaluation, measurement, or model serving systems
- Fluent with data and can collaborate effectively with data scientists
Nice to have
- Strong taste and curiosity about model and agent behavior
AI in the day-to-day
Our teams are building the full Super Intelligence stack, including Grok models and applications.
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In the role of Software Engineer on the Model Lifecycle and Signals team at SpaceXAI, the individual will manage the integration of advanced models into user-facing products, ensuring seamless transitions and performance monitoring. Key skills include experience with model evaluation, production systems, and data collaboration, particularly in AI and experimentation contexts. This position is ideal for seasoned engineers who excel in automating processes and possess a strong understanding of model behavior. The team operates at the forefront of AI technology, contributing to a rapidly evolving product landscape.
Joblaze insights
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Colossus, Cursor Router, Grok.
- What seniority level is this role?
- Cursor targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, Model Lifecycle and Signals role at Cursor.
From the original posting
About the Role
As a Software Engineer on the Model Lifecycle and Signals team at SpaceXAI, you'll own the bridge between frontier models and every user facingCursor product, used at a scale few teams ever see. You'll decide when we use which model, spot where models go off track and build the guardrails to keep them on it, and shape what the next generation of models should learn.
This role sits at the intersection of infrastructure, data, and product. You'll bring models from preview to production, dig into real-world data to find out what's actually working, and partner with research, inference, product, and data science teams to turn that evidence into better products and better models.
Every improvement you make compounds across our products and every model we ship.
What you'll work on
Get new frontier models into users' hands the day they're ready, and retire old ones without anyone noticing.
Evaluate internal and external preview models before launch and give meaningful feedback to the teams building them.
Build Cursor Router: decide which model handles each request, balancing quality, speed, and cost at massive scale.
Build the eyes and ears of the product, and the experimentation platform that puts them to work: signals that show where each model shines, where it goes off track, and what 'better' actually means.
You may be a fit if
You're an exceptional engineer with a track record of shipping production systems people rely on. You own problems end to end, and you'd rather automate a painful process than repeat it.
You've built and operated evaluation, measurement, or model serving systems, such as AI evals, experimentation, ranking/relevance, or routers. You can turn ambiguous "quality" questions into concrete metrics, pipelines, and decisions.
You're fluent with data and can collaborate effectively with data scientists and researchers.
You have strong taste and real curiosity about model and agent behavior. You try new models the day they come out and have opinions about where each one shines.
Applying
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.
#LI-DNI
Standard company text repeated across Cursor's postings is omitted here.