webAI
Staff R&D AI Engineer
Austin, TX · Staff+
Sponsorship not specifiedDetected 454 days ago
PythonAlgorithmsAWSGCPAzureCloud PlatformsMachine LearningDeep LearningTensorFlowPyTorchNLPComputer VisionLLMsMLOpsRoboticsControlsResearchCommunication
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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About the role
- As a Staff R&D AI Engineer, you will lead the development of cutting-edge AI systems that bridge computer vision, natural language understanding, and action learning.
- You'll architect and implement Vision-Language-Action (VLA) models, advance reinforcement learning applications, and push the boundaries of multimodal AI integration.
- This role combines deep expertise in both computer vision and large language models with hands-on experience in reinforcement learning to create intelligent systems that can understand, reason about, and interact with complex environments.
Responsibilities
- Develop and fine-tune large language models for instruction following, reasoning, and task planning applications
- Create multimodal training pipelines that leverage synthetic and real-world data for robust model performance
- Collaborate with engineering teams to integrate AI models into applications and validate performance across domains
- Optimize model inference performance for real-time applications across edge and cloud deployments
- Lead technical initiatives, mentor junior AI engineers, and establish best practices for AI model development
- Stay current with latest research in VLA models, multimodal AI, and robotics to drive innovation roadmap
Requirements
- Proven ability to work independently on complex research problems and deliver practical solutions
Nice to have
- Experience with RLHF implementation and human feedback integration for model alignment
- Experience with real-world system deployment and sim-to-real transfer techniques
- Experience with distributed training frameworks (DeepSpeed, FairScale, Horovod) and large-scale model training
- Familiarity with edge AI deployment and model optimization techniques (quantization, pruning, distillation)
- Experience with embodied AI research or projects involving agent-environment interaction
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, CoRL, etc.)
- Open-source contributions to major AI/ML frameworks or robotics projects
- Startup experience with ability to rapidly prototype and iterate on AI solutions
Skills
- 7+ years of experience in AI/ML engineering with 4+ years focusing on deep learning and neural network development
- Strong understanding of reinforcement learning algorithms and their applications (PPO, SAC, TD3, etc.)
- Strong expertise in both computer vision and natural language processing with hands-on model development experience
- Proficiency in PyTorch and/or TensorFlow with experience training and deploying large-scale models
- Experience with transformer architectures, attention mechanisms, and large language model fine-tuning
- Hands-on experience with computer vision tasks including object detection, semantic segmentation, and visual tracking
- Strong programming skills in Python with experience in distributed training and model optimization
- Understanding of sequential decision-making and control systems fundamentals
- Experience with MLOps practices including model versioning, monitoring, and deployment pipelines
- Strong communication skills and experience collaborating with cross-functional engineering teams
Compensation
- Competitive salary and performance-based incentives
Benefits
- We strive to provide competitive benefits to all employees.
- The benefits listed in this posting generally apply to U.S.-based employees.
- For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
- Comprehensive health, dental, and vision benefits package
- Including a high-deductible HSA option with company contribution
- Flexible PTO Policy
- Parental leave for eligible employees
- Continuing education support
- Basic, company-paid life insurance
- Supplemental life insurance
- Company-paid short and long term disability
- We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline.
Company info
- We are establishing the first distributed Al infrastructure dedicated to personalized Al.
- The evolving needs of a data-driven society are demanding scalability and flexibility.
- We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated.
- We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model.
This listing is sourced directly from webAI's careers page and normalized into a canonical job model.