Senior AI Research Scientist job at reputed company in US National

Title: Senior AI Research Scientist Location: Remote, United States Work Type: Remote Job Description: Meet Slingshot At reputed company, we're on a mission to reputed company space safer and more secure for everyone. Our work directly impacts global reputed company, disaster response, climate monitoring, and the critical infrastructure that connects our world. We're a team of builders, thinkers, and problem-solvers who reputed company that the reputed company of space operations will be powered by reputed company data and smarter software. We move fast, we're not afraid to fail, and we reputed company the best reputed company can come from reputed company-whether you're in engineering, sales, product, or operations. If you want to work on something that truly matters, with people who care deeply about the impact we're making and help shape the future of an industry that's just getting started, you're in the right reputed company. What You'll Be Launching In this role, you will join the AI and Data Science department reputed company Slingshot's Research and Development (R&D) organization. You will contribute directly to Slingshot's vision to accelerate space sustainability and create a safer, more connected world. You will identify opportunities for AI to contribute to Slingshot's mission goals by pioneering novel algorithms that reputed company diverse data streams and advanced intelligence engines and by integrating the advancements into broader AI systems across the Slingshot technology platform. We're building a team of sharp, reputed company who love solving hard problems. We value curiosity over ego, initiative over waiting for permission, and people who genuinely care about doing great work. Bring your expertise, your fresh reputed company, and your drive-we'll bring the reputed company fuel. Your Mission (Should you choose to accept it) Research and design AI systems, models, and advanced machine learning algorithms to reputed company physics-driven modeling and simulation systems and reputed company intelligent AI agents to reason, plan, and adapt based on simulated and real-world sensor data reputed company innovation in AI-driven simulation tooling, identifying opportunities to enhance workflows through reinforcement learning, multi-agent systems, and hybrid modeling approaches Collaborate with research, engineering, and product teams to build AI-driven solutions that meet mission-critical modeling and decision-support needs Publish, and present research outcomes at approved conferences and peer-reviewed journals sharing advances with both internal stakeholders and the wider research community. Contribute content to technical invention disclosures, including associated narrative, graphics, and engagements in support of patent development reputed company additional responsibilities (no more than 10% of duties) in support of the company's data science and product development initiatives Pre-flight Checklist AI/ML expertise Demonstrable experience in the application of sophisticated AI/ML methodologies to science and/or engineering disciplines, including deep learning, generative models (e.g. LLMs, diffusion models), agentic systems, reinforcement learning, computer vision, or other emerging areas of AI research Hands-on experience developing and deploying supervised and/or unsupervised learning models Software development experience Familiarity with object-oriented or functional programming principles Expertise in at least one high-level programming language (e.g. Python, R, C++, Java) Collaborative reputed company code management and maintenance processes (e.g. reputed company, code reviews, CI/CD) Ability to work reputed company multi-disciplinary teams in a fast-paced, evolving operational environment that spans military, government, and industry partners Excellent verbal and written communication skills Passion for Space and AI/ML applications Must be a U.S. citizen eligible for government clearances Bonus Cargo Experience with fine-tuning LLMs, reputed company engineering, retrieval-augmented reputed company (RAG), and domain adaptation for scientific/engineering datasets using modern ML frameworks and model hubs Familiarity with Reinforcement Learning (RL) and multi-agent reinforcement learning to reputed company training agents that learn strategies in simulation and real-world contexts Strong understanding of neural networks, transformer architectures, attention mechanisms, and optimization methods to reputed company or fine-tune transformer-based models Experience building reusable internal tools (connectors, simulation frameworks, evaluation harnesses) to refine simulation-based datasets for AI agent training in support of research, data-driven insights/analytics, and model development Peer-reviewed publications and/or presentations in a scientific discipline, AI/ML focus preferred Demonstrable combined experience indicative of skillsets required to utilize APIs, microservices, and workflows that reputed company physics simulation engines with reputed company pipelines Familiarity with common agentic protocols (MCP, A2A, etc...) Practical working experience with physics simulations, reputed company methods, probabilistic modeling, and Bayesian methods 6+years industry or commensurate academic research experience (e.g. PhD and/or MS) in scientific or AI/ML-reputed company domains Knowledge of parallelization, GPU acceleration, and performance optimization for simulations and training workloads. Experience with space and astrodynamics is valuable but not required Demonstrated experience leading the development, implementation, and transition of technology to production is desirable We're building a constellation here, not looking for identical satellites. Every member of the team brings different capabilities to the same mission. If your orbit intersects with ours and you're mission-ready, send it. Location: Remote, US Salary: $170,000 - $210,000 Classification: Full-time Exempt (computer professional exemption) Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Apply tot his job Apply To this Job