SpaceXSI is looking for Research Scientists to drive effective RL or mid-training research in a small-team setting, owning ambiguous research problems end-to-end.
Compensation
The annual compensation range for this role is $220,000 - $357,000 USD
Responsibilities
Design and run rigorous experiments that turn research ideas into measurable gains in model capability
Improve data recipes through data quality, deduplication, and mixture experiments
Define what makes RL data and rewards good, including grader design and preventing reward hacking
Advance training science, from architecture and scaling experiments to post-training recipes for coding and computer-use agents
Build evals and targeted tasks that expose model weaknesses and guide where the team invests next
Requirements
MS or PhD in CS, ML, math, physics or a related field, or equivalent research experience
As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights. This is a full-stack product-engineering role.
Compensation
The annual compensation range for this role is listed below. Annual Salary: $140,000 - $225,000 USD
Responsibilities
Build and maintain the full-stack applications and infrastructure researchers rely on daily, covering experiment setup, feedback collection, and results analysis
Own complete product areas from user needs through design, implementation, and iteration, setting standards for how to build research applications
Create reusable platforms and tools that speed up new research applications, then prototype, ship, and iterate quickly based on real-world usage
Partner with research teams to turn their workflows and pain points into intuitive interfaces and abstractions that make complex research tasks fast and approachable
Requirements
Bachelor's degree in computer science, engineering, math, or scientific discipline
Model Engineer responsible for designing and running rigorous experiments to improve model capability, data recipes, and training science for frontier coding agents.
Compensation
The annual compensation range for this role is listed below.
Annual Salary:
$160,000 - $250,000 USD
Responsibilities
Design and run rigorous experiments that turn research ideas into measurable gains in model capability
Improve data recipes through data quality, deduplication, and mixture experiments
Define what makes RL data and rewards good, including grader design and preventing reward hacking
Advance training science, from architecture and scaling experiments to post-training recipes for coding and computer-use agents
Build evals and targeted tasks that expose model weaknesses and guide where the team invests next
Requirements
MS or PhD in CS, ML, math, physics or a related field, or equivalent research experience
Nice to have: handle ambiguous research tasks with little guidance
Nice to have: own a research direction end to end
Nice to have: care an unusual amount about data quality
We are looking for a talented Full Stack Software Engineer to help us solve the complex, technical challenges of a changing insurance landscape. This person will be a key member of our engineering team, with direct ownership of many parts of the stack.
Locations (2)
United States
Canada
Compensation
Base Salary Range $100,000-150,000 USD
Responsibilities
Collaborate with product managers, designers, and other engineers to develop new features and enhance existing applications.
Design and implement frontend and backend components using JavaScript (Node.js) and Python.
Develop RESTful APIs and integrate with third-party services as needed.
Write clean, maintainable, and efficient code following best practices and coding standards.
Implement automated tests and ensure high code quality through code reviews and continuous integration.
Staff Software Engineer serving as the technical leader for software spanning multiple business and engineering workflows. Architecting and building cross-functional solutions, establishing shared technical patterns, and guiding teams through complex design and implementation decisions.
Locations (2)
United States
Canada
Compensation
Base Salary Range $150,000-200,000
Responsibilities
Shape architecture and technical direction across underwriting, rating, claims, and shared services
Drive wide-reaching technical initiatives end to end
Design and implement critical frontend and backend components using TypeScript/JavaScript (Node.js) and Python
Partner with product managers, designers, engineering managers, and domain experts
Raise engineering quality through design docs, code review, observability, and CI/CD practices
Build and operate massive-scale cloud services leveraging state of art machine learning technologies in Oracle Cloud Infrastructure Generative AI Service team.
Compensation
US: Hiring Range in USD from: $105,900 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Design and build distributed, scalable, high-performance AI model training and serving systems
Optimize model performance and scalability
Deploy solutions into production in business-critical scenarios
Diagnose, troubleshoot and resolve issues in AI model training and serving
Requirements
BS in Computer Science
Nice to have: MS in Computer Science
Nice to have: cloud computing production experience
Lead the technical direction and roadmap for OCI’s Internet Edge, including internet transit, peering, private interconnects, internet exchanges, and connectivity to DDoS protection providers.
Compensation
Range from $126,000 to $264,000
Responsibilities
Set the technical direction and roadmap for OCI’s Internet Edge.
Define routing policies and resilient connectivity designs that balance availability, performance, and cost across regions.
Use traffic and performance data to guide peering, transit, and traffic engineering decisions.
Plan for high-volume media workloads by forecasting traffic patterns and identifying connectivity needs.
Partner with backbone and transport owners on capacity planning, edge deployments, and circuit changes.
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