Lead Machine Learning Engineer for Next-Generation AI Systems

2 weeks ago

New York, New York, United States Tecton Corporation Full time
About the Position

We're seeking an experienced Lead Machine Learning Engineer for Next-Generation AI Systems to join our team at Tecton Corporation. As a leading provider of data platforms for AI applications, we're looking for a seasoned professional to drive the development and implementation of next-generation AI systems.

About the Company

Tecton Corporation has established itself as a trusted partner for companies seeking to unlock the full potential of their data for AI applications. Our platform streamlines the complex process of preparing and delivering data to models, enabling AI teams to accelerate the development of smarter, more impactful AI applications.

About the Salary

The estimated US base salary range for this position is $189,000 - $258,000 annually, including comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws.

About the Job Responsibilities

This role involves working closely with the CEO/CTO to define and lead Tecton's GenAI strategy. The successful candidate will be responsible for identifying, developing, and validating the most important end-to-end GenAI use cases in Tecton.

  • Work closely with the CEO/CTO to define and lead Tecton's GenAI strategy.
  • Drive GenAI initiatives from ideation to delivery in a collaborative environment and partner across cross-functional teams and Product Managers.
  • Identify, develop, and validate the most important end-to-end GenAI use cases in Tecton.
  • Work closely with customers to launch impactful new capabilities at a rapid pace and close the gap for technical adoption of Tecton's GenAI capabilities.
  • Take an experimental and iterative approach, prioritizing swift progress, and navigate through a high degree of ambiguity.
About the Requirements

The successful candidate will have:

  • A Bachelor's, Master's, or equivalent degree in Computer Science, Engineering, or a related field. A PhD is a plus, especially with a focus on AI/ML or Natural Language Processing (NLP).
  • A minimum of 6+ years as a Machine Learning Engineer or Software Engineer specializing in machine learning infrastructure or GenAI applications.
  • Proven proficiency in Python and familiarity with key libraries such as NumPy, pandas, scikit-learn, TensorFlow, PyTorch, or JAX/Flax.
  • Hands-on expertise with deep learning frameworks, such as PyTorch or TensorFlow, and familiarity with libraries like Hugging Face Transformers for LLM development.
  • Experience working with large language models (LLMs) such as GPT, BERT, Llama, or Claude, including fine-tuning, prompt engineering, and deploying LLMs in production.

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