Senior ML Engineer

Posted Yesterday
2 Locations
Remote or Hybrid
160K-240K Annually
Senior level
Artificial Intelligence
The Role
Design, train, and deploy scalable ML models (generative, classification, regression). Define feature roadmaps, collaborate with engineering to implement code and APIs, adapt ML methods for distributed/GPU environments, and create evaluation/annotation programs for fine-tuning and performance measurement.
Summary Generated by Built In
Senior ML EngineerResponsibilities
  • 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

Skills Required

  • BS or MS in Computer Science, Electrical Engineering, Machine Learning, or related field
  • 3+ years hands-on experience designing and training ML models for 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 or Beam
  • Track record of improving model or overall system performance to achieve business outcomes
  • Excellent problem-solving aptitude and ability to work cross-functionally in a fast-paced startup
  • Clear communication skills to distill complex AI concepts for technical and non-technical stakeholders
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The Company
HQ: Palo Alto, CA

What We Do

The Enterprise Web Agent company. Our AI agents run complex business workflows at web scale millions of times to deliver measurable outcomes.

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