Senior ML Engineer

TinyFish • Palo Alto, CA

8d

About The Position

Develop highly scalable ML products by training and deploying generative, classification, and regression models key to TinyFish's underlying products. Suggest, collect and synthesize requirements and create effective feature roadmap. Code deliverables in tandem with the engineering team. Adapt standard machine learning methods to best exploit modern parallel environments (eg distributed clusters, multicore SMP, and GPU). Work on a range of classification and optimization problems that might include web agent automation, entity resolution, search, ranking and retrieval, and others as needed. Design evaluation and annotation programs to enable model and web agent reinforcement training, fine tuning, and performance evaluation.

Requirements

• BS or MS in Computer Science, Electrical Engineering, Machine Learning, or a related field
• 3+ years of hands-on experience designing and training ML models to solve real world problems.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
• Strong software engineering skills: data structures, algorithms, distributed systems design, and API development
• Familiarity with scalable data processing frameworks such as Apache Spark, Beam, or other systems.
• Track record of consistently improving model or overall system performance to achieve business outcomes.
• Excellent problem-solving aptitude and the ability to work cross-functionally in a fast-paced startup environment
• Clear communicator who can distill complex AI concepts for technical and non-technical stakeholders

Responsibilities

• Develop highly scalable ML products by training and deploying generative, classification, and regression models key to TinyFish's underlying products.
• Suggest, collect and synthesize requirements and create effective feature roadmap.
• Code deliverables in tandem with the engineering team.
• Adapt standard machine learning methods to best exploit modern parallel environments (eg distributed clusters, multicore SMP, and GPU).
• Work on a range of classification and optimization problems that might include web agent automation, entity resolution, search, ranking and retrieval, and others as needed.
• Design evaluation and annotation programs to enable model and web agent reinforcement training, fine tuning, and performance evaluation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior