Ml Research Engineer

Summary

Join Accretive Technology Group, a leading web company, as an ML Research Engineer. This role blends research and engineering, focusing on developing and implementing cutting-edge AI solutions, particularly in LLMs, computer vision, and generative AI for resource-constrained environments. You will drive independent research, design and implement novel architectures, optimize models, and collaborate with various teams. The ideal candidate possesses a strong background in AI, proven research experience, and expertise in model optimization and deployment. This position offers a competitive salary, comprehensive benefits, and the autonomy to pursue research interests.

Requirements

• MS/PhD in Computer Science, Machine Learning, or related field, or equivalent experience
• 5+ years of experience in Software Development
• Demonstrated expertise in training and fine-tuning large language models
• Strong background in generative AI architectures
• Experience with distributed training systems and optimization techniques
• Experience with model optimization and deployment in resource-constrained environments
• Proven track record of independent research, evidenced by technical blog posts, projects, or patents
• Experience building tools and interfaces for model interaction and evaluation

Responsibilities

• Drive independent research initiatives in natural language processing and computer vision, with a focus on LLMs and image-generation models
• Design and implement novel architectures for model fine-tuning and adaptation
• Develop and optimize training pipelines for both foundation models and domain-specific applications
• Optimize models for deployment in resource-constrained environments (edge devices, browsers, embedded systems)
• Collaborate with developers to design and guide the creation of robust tooling for model interaction, including interfaces for classification, data annotation, and model evaluation
• Work with infrastructure teams to develop scalable systems for model deployment and monitoring
• Contribute to the company's intellectual property through patent applications
• Conduct rigorous experimentation to advance our understanding of model behaviors
• Collaborate with product teams to translate research insights into practical applications

Preferred Qualifications

• Experience with PyTorch (primary), TensorFlow, ONNX, TensorFlow Lite, ONNX Runtime, model quantization, pruning, WebGL, WebAssembly, TensorFlow.js, ONNX.js, Transformers, Diffusers, AWS/GCP/Azure, Kubernetes, Docker, Weights & Biases, MLflow
• Experience with distributed training frameworks and optimization

Benefits

• Employer-paid Medical, Dental, and Vision benefits
• Life & Disability Insurance Coverage
• Health Care FSA
• Day Care FSA
• Tradition and Roth 401(k) with a 50% contribution match (no limit)
• Generous Vacation and PTO plan
• Paid Holidays
• Semi-Annual Profit Sharing
• Gym/Equivalent Exercise Program Reimbursement
• $175 Transportation Reimbursement ($100 of this may be used for home internet for remote and hybrid employees)