Machine Learning Engineer

Burro is the leading robotics company in the world by number of robots working outdoors in the field with real customers. Our mission is to free people from tedious work and solve the critical labor shortages faced by farmers and others that work outdoors. 
To accomplish our mission, we need a world-class, diverse team where everyone feels comfortable sharing their ideas. With this in mind, we strive to create a work environment where every employee can be themselves and express their perspective – this enables us to deliver the most creative and innovative solutions to problems our customers face. 
Headquartered in Philadelphia with an office in central California, and backed by top Agtech and autonomy investors, including S2G, Catalyst Investors, Translink Capital, Cibus, FPrime, Toyota Ventures, FFVC, Xplorer, and Radicle, Burro was created to solve the labor shortages facing farmers using robotics. 
Burros can be described as Disney's Wall-E for agriculture and work outdoors, in a 1.0 format.  They function, today, as computer vision based autonomous ground vehicles for carrying, towing, and scouting, and are designed to lay the base for the fully autonomous future of work outdoors.  We have a growing triple digit fleet deployed in paid commercial use within vineyards, nurseries, berries, and beyond, and demand for our product is accelerating, so we are growing our team.  
About you: You are a highly motivated Machine Learning Engineer with experience in Large Language Models (LLMs) and a strong foundation in general machine learning. You will contribute to designing, building, and deploying cutting-edge ML systems, with a focus on NLP and generative AI, while also supporting broader machine learning initiatives across the company.

Responsibilities

• Fine-tune and adapt  LLMs (e.g., GPT, LLaMA, Mistral) to our domain specific and proprietary data. 
• Implement prompt engineering for inference-time behaviors and improved reasoning.
• Design benchmarks for accuracy, latency, safety and hallucinations.
• Optimize throughput and latency for efficient model deployment.
• Contribute towards building robust data pipelines for quick training and inference.
• Monitor, maintain and improve modal multi-machine learning models for our perception stack.
• Optimize models for production environments. 
• Implement thorough validation and testing procedures for models that you deploy
• Collaborate with other engineers in the autonomy team to integrate ML solutions into their pipelines

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Electrical Engineering, or related field
• 2–5 years of experience building and deploying machine learning models
• Experience working with LLMs, NLP pipelines
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, TensorRT)

Perks

• Competitive compensation and benefits package (medical/dental/vision)
• Company paid Life Insurance
• 401K Plan
• Early-stage equity
• Unlimited PTO
• Paid parental leave

RECRUITERS: We are not accepting agency resumes for this position. Please do not forward or submit resumes through our website or to any of our employees directly. Burro is not responsible for any fees related to unsolicited resumes from recruitment agencies.