Senior ML Engineer

Senior ML Engineer

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.

Qualifications

• 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