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Software Engineer, AI Engineer, Machine Learning​/ ML Engineer

Job in Sacramento, Sacramento County, California, 95828, USA
Listing for: OceanAI, LLC
Full Time position
Listed on 2026-06-04
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Engineering - Sacramento, California, United States - Full Stack and AI

About the team

At Ocean

AI, we are at the forefront of integrating cutting‑edge technology solutions in the IoT sector. Our mission is to revolutionize how devices interact and communicate within smart environments. We pride ourselves on fostering an innovative culture where creativity meets technology, offering you the opportunity to work on pioneering projects that shape future technologies.

About the role

We are seeking a highly skilled Full Stack Developer with expertise in AI to lead our IoT project development. This role involves designing robust IoT solutions, developing both backend and frontend components that interact seamlessly with our smart devices, and leveraging AI to enhance device functionalities and user experiences.

In this role, you will build software from the ground up to solve critical bottlenecks internally, often by applying our large language models. This role is cross functional: you'll interface directly with leaders across the company to identify critical bottlenecks and fix them, and you'll collaborate with our research teams to learn how to apply our LLMs and share feedback.

In this role, you'll:
  • Design and develop robust IoT solutions with seamless device communication
  • Build both backend and frontend components that interact with smart devices
  • Leverage AI and large language models to enhance device functionalities
  • Interface directly with leaders across the company to identify and solve critical bottlenecks
  • Collaborate with research teams to apply LLMs and share feedback
  • Contribute to the architecture and scalability of our IoT platform
We're seeking someone with experience including:
  • Strong experience with deep learning and natural language processing
  • Hands‑on experience with AI and machine learning frameworks (Tensor Flow, PyTorch)
  • Knowledge of IoT communication protocols such as MQTT or CoAP
  • Familiarity with containerization and microservices architectures (Docker, Kubernetes)
  • Excellent problem‑solving skills and ability to perform in a dynamic, fast‑paced environment
You might thrive in this role if you:
  • Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision.
  • Have a passion for IoT and AI. You embrace the opportunity to help deploy our technology in a way that connects people and places. You're excited to push the boundaries of what intelligent systems can do.
  • Are excited by new challenges. You don't have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you.
  • Are a collaborator. You work effectively across teams and disciplines, bringing together research insights and engineering excellence to ship great products.
Education & Experience

Ph.D./M.S in computer vision, natural language processing, machine learning, computer graphics, computer science or 5+ years of equivalent industry experience.

About OceanAI

Ocean

AI is an AI research and development company dedicated to delivering innovative AI and IoT solutions that drive digital transformation. We push the boundaries of the Artificial Intelligence of Things (AIoT), uniting people and places through advanced intelligent systems. Our mission is to enable businesses to achieve sustained growth in an increasingly intelligent world.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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