Role OverviewWe are seeking a AI/ML Engineer – Systems to help turn AI/ML research into systems that run reliably in production. This is a hands-on systems role focused on integration, performance optimization, and operational excellence for AI/ML workloads.
What You Will Do
Integrate AI/ML components into existing applications, services, and pipelines, with a focus on long-term reliability and maintainability. Improve system and model performance across latency, throughput, reliability, and resource efficiency.
Why It Might Be a Fit
You'll deepen your systems expertise by working on AI solutions used by real teams, seeing how those systems behave in production, and learning from experienced engineers along the way.
Requirements
- Bachelor's degree in Computer Science, Data Science, AI, or a related field
- Minimum of 3-5 years of experience in AI/ML, with a consistent track record of deploying solutions in a production environment
- Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit-learn, etc.
- Experience with RAG is critical
- Strong background in statistics, machine learning algorithms, deep learning, neural networks, and system architecture
- Strong understanding of cloud platforms, DevOps practices, and data processing technologies
- Demonstrated ability to lead technical projects and work effectively in matrix environments
- Ability to communicate technical concepts to non-technical team members and business partners
- Familiarity with software engineering best practices, including version control (Git), CI/CD pipelines, agile methodologies, and system design patterns
Benefits
- medical
- dental
- vision
- life
- 401(K) including company matching
- employee stock purchase program (ESPP)
- student debt assistance
- tuition reimbursement program
- development and career growth opportunities and programs
- financial planning benefits
- wellness benefits including an employee assistance program (EAP)
- paid time off
- paid company holidays
- family care and bonding leave
]]>