Database & Data Science Engineer – Advanced Data Systems

Database & Data Science Engineer - Advanced Data Systems

Job Description

Sophelio is an AI/ML startup based in Austin, TX, building next-generation data infrastructure for domains where data complexity and scale matter most—from nuclear fusion research and scientific simulation to BCI, fintech, MLOps, and beyond.

We sit at the intersection of databases, machine learning, and advanced computation, creating systems that transform large, heterogeneous datasets into actionable intelligence. Our mission is bold: accelerate innovation across science and industry through better data architectures and workflows.

We're not looking for someone just seeking their next paycheck—we're looking for builders. People who thrive in fast-paced environments, want their work to matter, and are motivated by the chance to help shape both a company and an industry.

• Architect and scale non-relational and relational databases (MongoDB, SQL) for large, high-throughput datasets.
• Build data pipelines and tooling to support ML/AI workflows (ingestion, labeling, harmonization, retrieval).
• Collaborate with scientists, engineers, and customers to operationalize products (MLOps, Dev Ops).
• Ensure scalability and efficiency of our systems as we prepare for rapid growth.
• Contribute ideas beyond engineering - help shape product vision and company direction.

• Strong foundation in data science, database management, computer science, computational mathematics, and ML/AI.
• 3+ years of professional experience in one or more related fields (e.g., database engineering, data science, ML/AI systems, computational software development).
• Proficiency with MongoDB (PyMongo, Compass), SQL, Python (Tensor Flow, PyTorch, etc.).
• Systems-level thinking, with experience in scalable architectures and data workflows.
• Strong problem-solving skills and clear, proactive communication.
• Ability to work both independently and in highly collaborative teams.
• Interest in emerging domains like fusion energy, clean energy, and other data-intensive fields.
• Software development background; full-stack experience is a plus.
• Familiarity with computational science, high-performance simulation data, and applied mathematics.
• Curiosity and drive to learn quickly across different application areas.

• Impact that matters:
  Work on data infrastructure powering breakthroughs in science, finance, and AI.
• Growth environment:
  Competitive compensation, equity opportunities, and career advancement.
• Culture:
  Inclusive, ambitious, and collaborative—we value curiosity, initiative, and creativity.
• Location:
  
  Austin HQ near Zilker Park, with flexible hybrid options.
• Future-focused:
  Join a team operating at the leading edge of AI, MLOps, and large-scale data systems.