NT Concepts is seeking a Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will have the unique opportunity to support research, design, and implement cutting edge algorithms for a program focused on building advanced simulations using 3D tools such as PyTorch3D, Unity, or Unreal Engine.
Requirements
- 6+ years of relevant hands-on experience developing and implementing ML algorithms
- Practical experience training and deploying Machine Learning models
- Understanding of machine learning techniques and algorithms specifically focus on 3D computations and backpropagation using 3D tensors and transforms
- Familiarity with existing simulation engines such as Blender, Unity, and Unreal Engine
- Experience utilizing or building simulation engines to validate computer vision models performance
- Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred
- Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevSecOps specifically GitLab CI/CD
- Experience building and maintaining machine learning pipelines
- Experience with container applications such as Docker, Kubernetes, OpenShift
- Practical programming and scripting skills (Python preferred)
- Understanding of data structures, data modeling and software architecture.
- A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams
- Experience with synthetic data generation for training and evaluation of ML Models
- Experience working with customers to better optimize their ML objectives
- Fast learner, analytical thinker, creative, hands-on, strong communication skills
- Able to work both independently and as part of a team
- Excellent problem-solving skills and attention to detail
- Experience working with LLMs for problem solving and code production in a safe and responsible manner
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Relocation Assistance
- Tuition Reimbursement