Machine Learning Engineer
Full-Time Position
Lead groundbreaking AI research projects at InAI Lab. Drive innovation in machine learning and artificial intelligence, publish in top-tier conferences, and mentor the next generation of AI researchers.
Position Details
Key Responsibilities
Build Production ML Systems
Design, develop, and deploy scalable machine learning systems that power real-world applications with high performance and reliability.
Model Optimization
Optimize ML models for production environments, improving inference speed, reducing resource consumption, and maintaining accuracy.
Research Implementation
Translate cutting-edge research prototypes into production-ready systems, bridging the gap between research innovation and practical deployment.
Cross-Functional Collaboration
Work closely with research scientists, data engineers, and product teams to deliver end-to-end ML solutions that meet business objectives.
Requirements
Educational Background
MS/BS in Computer Science, Machine Learning, or related field with strong focus on software engineering and system design.
Production Experience
3+ years building and deploying production ML systems at scale, with proven track record of delivering reliable, high-performance solutions.
ML Engineering Skills
Strong understanding of ML algorithms, model training, optimization, deployment pipelines, and production monitoring systems.
Technical Stack
Expert in Python, PyTorch/TensorFlow, Docker, Kubernetes, cloud platforms (AWS/GCP/Azure), and MLOps best practices.
What We Offer
Research Excellence
Work on groundbreaking research with access to state-of-the-art computing resources and support for conference attendance and publications.
Collaborative Environment
Join a world-class team of researchers and engineers in a supportive, innovative environment that values both individual and team achievements.
Competitive Package
Industry-leading compensation, comprehensive benefits, equity opportunities, and flexible work arrangements to support your career growth.