Machine Learning Engineer
About Soris
We are a stealth technology company building at the intersection of foundational AI and systems design for real-world impact. Our mission is bold: to reimagine one of the largest and most entrenched industries on the planet, creating an entirely new model that is faster, fairer, and fundamentally better for humanity.
Unlike wrapper companies or point solutions, we are building a full-stack AI platform from the ground up; one that is agentic, vertically integrated, and designed for scale. This gives us the rare ability to solve problems others can’t touch, operating with orders-of-magnitude more efficiency than legacy systems.
Our founding team has scaled category-defining companies in frontier tech, aerospace, mobility, and AI. We’ve led organizations from zero to multibillion-dollar valuations, pioneered new industries, and built products that reshaped how people live and move. Now we’re assembling a small, fiercely talented team to take on our most ambitious challenge yet.
Joining us means working on cutting-edge research with direct application, where your code doesn’t sit in a lab, it changes lives. You’ll be part of an environment that values intellectual rigor, creative rebellion, and the courage to build what others say is impossible.
This is a once-in-a-generation opportunity to help design and deploy the infrastructure of the future. We’ve raised capital in record time, and are scaling our foundational team now. If you’re motivated by hard problems, high impact, and the chance to leave a legacy, we’d love to talk.
The Role
We’re looking for a Machine Learning Engineer to join our Engineering team. You’ll work with the CTO and engineers to build and scale the systems that power Soris AI products. This is a ground-floor opportunity where your work will directly shape the platform, culture, and impact of Soris.
Candidates with a good fit for this role:
Want to ship fast, iterate, and own outcomes.
Thrive in ambiguity, asking questions and solving problems across the stack.
Believe in building systems that are secure, transparent, and human-friendly.
What You’ll Do
Build and deploy highly accurate machine learning models into production.
Collaborate with system and backend engineers to build data pipelines for training and inference.
Develop a robust set of tools for model tracking, versioning, and monitoring.
Optimize models and systems for speed, cost, and reliability.
Requirements
4+ years of experience in machine learning or data engineering.
Strong skills in Python or R and frameworks like PyTorch or TensorFlow.
Experience with serving models for inference (FastAPI)
Experience with AWS (EKS, S3, SageMaker, Lambda, EKS, CloudWatch).
Understanding of MLOps, feature stores, and model registries.
Familiar with CI/CD, containerization, and monitoring tools.
Nice-To-Haves
Experience with large language models or agentic systems.
Knowledge of compliance standards such as SOC2 or HIPAA.
Background in early-stage startups or small, fast-moving teams.
Familiarity with Airflow, Kafka, or Snowflake.
Engineering Culture at Soris
Our values guide how we work:
Extreme Ownership: We own outcomes, not just code. At Soris, we never say “that’s not my job”.
Always Be Curious: Ask questions. Explore new ways.
Go Farther Together: Collaboration beats silos.
Why Join Us?
Competitive compensation package, including salary and equity.
Benefits include employer-covered health insurance for you, your spouse, and partially for children
Be part of an engineering team with massive influence on product, culture, and direction.
Work with cutting-edge AI agents and modern tech stacks.
Apply
If you’re excited about transforming big antiquated industries, shipping fast, and working with a driven, world-class team, then we’d love to hear from you!