Research AI​/ML Engineer

Job Title:

Research AI/ML Engineer

Location:

Remote

Employment Type:

Full-Time

In this role, you will build cutting edge ML/AI tools with a team of passionate engineers to accelerate & enhance the process. You will be hands‑on designing architecture, deploying scalable services/integrations, and developing novel software to harness the power of ML & computational tooling to assist researchers in their day-to‑day work. You will collaborate closely with AI, Software Engineering, and industry‑leading partners outside of the company.

• Design and develop robust, scalable, and secure software solutions with a hands‑on approach.
• Collaborate within a team of engineers, using best practices in software development such as design review, code reviews, testing, and continuous integration/continuous deployment (CI/CD).
• Build and maintain microservices architectures and APIs, ensuring seamless interoperability and data flow across platforms.
• Implement containerization solutions, particularly using Kubernetes, to support deployment and scaling needs.
• Collaborate with diverse technical teams, including R&D, Data Science, IT Operations, and AI/ML teams, to translate business requirements into technical solutions.
• Ensure optimal system performance, reliability, and security through proactive monitoring and continuous improvement.
• Troubleshoot complex technical issues and provide hands‑on support to resolve them efficiently.
• Monitor and track operational metrics
• Ensure robust integration of AI/ML models into production environments, focusing on scalability, performance, and reliability.

• Go, Rust, Java, C++ or other OOP
• Experience with scripting languages such as Python/Java script
• Worked with Containers, Serverless, Kubernetes and other hosting targets
• Understanding HTTP and RESTful based APIs.
• Experience applying test‑driven development methodologies to catch bugs early & prevent feature reversion.
• Experience using CI tools to automatically test & CD tools to automatically deploy code updates.
• Experience applying systems engineering concepts to distributed systems with high throughput & availability requirements.

Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.

• Health insurance
• Health savings account
• Dental insurance
• Vision insurance
• Flexible spending accounts
• Life insurance
• Retirement plan

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Rate of pay within the stated range will depend on the qualification of the applicant.