Staff Data Scientist: AI & LLM Technical Lead

What You'll Do

• At Omnidian we believe in trust and autonomy. How you create an impact is ultimately up to you. Here is an outline of some of the things you’ll be doing:
Technical Leadership
• Model Development & Deployment: Drive the technical development, evaluation, and deployment of AI/LLM applications, collaborating with engineering teams to deliver robust production pipelines primarily within a Python-based environment.
• AI Innovation: Proactively survey and assess emerging AI/LLM technologies and tools, identifying opportunities to implement solutions that support Omnidian’s mission and objectives.
• Cross-Functional Collaboration: Act as the AI domain expert, guiding technical discussions, mentoring Data Scientists, and coordinating closely with engineering, product management, and operational teams.
Project & Program Management
• Prioritization and Planning: Independently evaluate potential AI projects, prioritize based on clear ROI and business impact, and scope and manage implementation plans effectively.
• Supporting Program Strategy: Partner with leadership and support the development of a clear strategy for leveraging AI/LLMs across Omnidian that is aligned with our long-term growth and efficiency objectives.
• Metrics & Evaluation: Help to define, track, and communicate clear success metrics for AI initiatives, ensuring transparency and alignment with broader business goals.

Who You Are

• Systems Thinker: You naturally integrate AI solutions within broader business processes, technologies, and people operations.
• Adaptive & Agile: Thriving in growth-stage companies, you navigate context switching with ease and remain resilient and productive amid evolving priorities.
• Independent and Proactive: You confidently scope, prioritize, and execute projects, demonstrating exceptional project and program management capabilities.
• Curious and Empathetic: You engage deeply with new domains and foster a collaborative, respectful, and growth-oriented team culture.

Experience You’ll Need

• Minimum of 5 years of experience in productionizing machine learning models, including end-to-end deployment and maintenance in production environments.
• Recent hands-on experience in fine-tuning and deploying Large Language Models (LLMs) within a business context.
• Solid foundation in Data Science and deep learning techniques, with direct experience in developing and operationalizing AI/LLM solutions.
• Strong software engineering skills, particularly in Python, and proven capability in building robust, production-level data pipelines and AI integrations.
• Master's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or another quantitative discipline.
• Proven ability to collaborate closely with ML Ops Engineers and Data Engineering teams, preferably with experience using cloud platforms (e.g., AWS, Databricks, Docker, Kubernetes).
• Demonstrated effectiveness in fast-paced, growth-stage environments with dynamic priorities and evolving structures.

Work-life and Culture

• Most of our roles offer the opportunity to work remotely
• If you are in the Seattle area, we offer a vibrant office space in the historic and beautiful Smith Tower, in the heart of Pioneer Square
• We prioritize applicants near one of our employee clusters and offer one or more local gatherings per year
• We provide outstanding benefits including family medical, dental, vision, disability, 401(k) administration and $1k match per year and thoughtful paid time off
• We offer 12 weeks of paid parental leave to all FTE employees (birthing and non-birthing) after 1 year, and four-week paid sabbatical leave after four years
• We offer a competitive total compensation package that includes monthly health insurance premiums, bonuses and long-term stock options for every employee
• We love to lift each other up through company-wide slack channels such as #puppiesandpets, #omnidian-wellness, #praiseandbooms and #sustainablefuture
• We have affinity groups to help employees feel seen and supported, such as Rainbow Array, BIPOC, Thriving Survivors, Vets at Omnidian, Black Lights Matter and Neurospicy R Us
• We are a passionate, mission driven team that believes in collaboration, mutual respect and trust. For examples, come Discover our Story!

Grow With Us

• We mentor and invest in our employees and prioritize them for future opportunities. Check out our Instagram reels to see a few career journey examples
• Internal candidates: Check out our advice on Internal Transfer: Job Application Process
• We’re a fast-growing startup, which means we’re constantly reinventing processes, adding new products, and asking people to use all of their skills and talents. That means there’s gonna be a lot of opportunities for you to grow, which also means you will likely be stretched in ways you’ve never experienced in a job before. If you are resilient, determined, and not afraid of a big challenge, come apply.