About Bitus Labs Bitus Labs is a cutting-edge AI Gaming company dedicated to revolutionizing the gaming industry through innovative artificial intelligence technologies. As we continue to grow, we are building a robust data platform to support our ambitious projects and empower our AI-driven solutions.
About the Role We are seeking a talented and passionate Machine Learning Engineer to join our growing AI team. In this role, you will bridge the gap between research innovation and production deployment, working closely with Research Scientists to implement, optimize, and deploy machine learning models while building robust MLOps infrastructure.
Responsibilities:
- Model Development and Optimization:
- Collaborate with Research Scientists to translate algorithmic prototypes into production-ready machine learning models
- Implement, train, and fine-tune machine learning models with a focus on reinforcement learning, time series modeling, and recommender systems
- Optimize model performance through parameter tuning, feature engineering, and architecture selection
- Debug complex ML systems and resolve technical roadblocks in the model development pipeline
- Model Deployment and Infrastructure:
- Deploy models as APIs or microservices within our system architecture
- Design and implement scalable ML infrastructure to support model development and deployment
- Configure and optimize hardware acceleration (GPU/TPU) for efficient model training and inference
- Implement distributed training systems to handle large-scale machine learning workloads
- MLOps and Automation:
- Design and maintain end-to-end MLOps pipelines including continuous integration, deployment, and monitoring
- Automate model training, evaluation, and deployment workflows
- Build robust monitoring systems for tracking model performance and detecting drift or degradation
- Develop data validation pipelines to ensure data quality and integrity throughout the ML lifecycle
- Implement version control for models, data, and configurations
- Collaboration and Support:
- Work closely with Data Scientists to implement data processing pipelines and feature engineering
- Partner with backend engineers to integrate ML models into gaming applications
- Support Research Scientists in experimental design and prototype development
- Document ML systems and processes for knowledge sharing across the organization
- Develop internal tools to improve ML development efficiency and reproducibility
Qualifications:
Required:
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
- 3+ years of experience in machine learning engineering or similar roles
- Strong programming skills in Python and proficiency with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, or equivalent)
- Knowledge of containerization and orchestration tools (Docker, Kubernetes)
- Experience with cloud platforms (AWS, GCP, or Azure)
- Solid understanding of CI/CD principles and practices
- Must be Chinese Mandarin fluent.
Preferred:
- Experience with hardware acceleration (GPU/TPU) for machine learning workloads
- Knowledge of distributed computing and big data technologies (Spark, Hadoop)
- Experience with real-time inference systems and model serving technologies
- Familiarity with reinforcement learning, time series models, or recommender systems
- Background in gaming industry or understanding of gaming-related AI applications
- Experience with A/B testing and experimental design
Skills:
- Strong problem-solving abilities and analytical thinking
- Excellent communication skills and ability to explain complex technical concepts
- Detail-oriented with a focus on code quality and system reliability
- Self-motivated with the ability to work independently and as part of a team
- Adaptable to a fast-paced environment and changing requirements
Job Type & Schedule:
- Job Type: Full-time
- Schedule: Monday to Friday
- Work Location: In person
Benefits:
- 401(k) with company matching
- Comprehensive health, dental, and vision insurance
- Life insurance
- Parental leave
- Retirement plan
- Professional development opportunities
- Collaborative team environment with experienced AI professionals
At Bitus Labs, we're building the future of AI in gaming. If you're passionate about machine learning engineering and want to make a significant impact in a growing field, we'd love to hear from you.
Job Type: Full-time
Pay: From $100,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Flexible schedule
- Health insurance
- Life insurance
- Paid time off
- Parental leave
- Retirement plan
- Vision insurance
Schedule:
Experience:
- Machine learning: 3 years (Required)
Language:
Ability to Commute:
- Irvine, CA 92618 (Required)
Ability to Relocate:
- Irvine, CA 92618: Relocate before starting work (Required)
Work Location: In person
