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:

Monday to Friday

Experience:

Machine learning: 3 years (Required)

Language:

Chinese (Required)

Ability to Commute:

Irvine, CA 92618 (Required)

Ability to Relocate:

Irvine, CA 92618: Relocate before starting work (Required)

Work Location: In person

Bitus Labs

Latest Jobs

Machine Learning Engineer (Mandarin Speaking)

Data Scientist (Mandarin Speaking Required)