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
Seeking a highly motivated Data Scientist to deliver innovative machine learning and analytics solutions for complex business challenges in a customer-facing role.
Responsibilities
Design and implement data science solutions throughout the project lifecycle.
Analyze large and complex datasets to identify trends, anomalies, and actionable insights.
Develop and optimize machine learning models and advanced analytics workflows.
Perform feature engineering and data preparation for predictive modeling initiatives.
Collaborate with Product, Engineering, and Customer Success teams to translate business requirements into technical solutions.
A Medior AI Engineer focused on the Run phase of AI services in production, ensuring reliability, security, and cost-efficiency using Azure services and open-source components.
Responsibilities
Operate the AI services in production: monitor availability, latency, and errors, handle incidents and service requests, analyze root causes, then fix or escalate.
Keep answer quality under control: run and maintain evaluation sets with business content owners, track answer quality, non-answer rate, and user feedback, and detect and investigate quality regressions.
Operate the ingestion pipelines: manage incremental refresh, failed documents, index health, and onboarding of new content sources or business domains.
Operate agent integrations: monitor tool and integration calls to business systems, handle failures, timeouts, and review action logs and exceptions.
Manage change safely: model version upgrades and retirements, prompt and configuration changes, and dependency and security updates, validated against evaluation sets before release.
Design and build interactive, user-facing data and AI applications on the Databricks platform. Focuses on front-end development and user-centric workflow design.
Responsibilities
Design, develop, and deploy interactive data and AI applications using Databricks Apps.
Build React-based user interfaces and reusable front-end components using TypeScript/JavaScript, HTML, and CSS.
Integrate applications with Databricks capabilities, including Unity Catalog, Delta tables, Databricks SQL, AI/BI dashboards, Genie, MLflow, and Databricks REST APIs.
Integrate AI and LLM features through secure APIs and Databricks Model Serving endpoints to enable prompt-driven and context-enriched user workflows.
Develop lightweight back-end services and APIs using Python (e.g., FastAPI, Flask) or Node.js to connect front-end features to underlying data and models.
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
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