Machine Learning Engineer

Summary

Join Tecton, a leading feature platform company, and play a pivotal role in shaping its GenAI strategy. You will work closely with the CEO/CTO, driving GenAI initiatives from concept to launch. This involves identifying and developing key GenAI use cases, collaborating with customers, and ensuring rapid technical adoption. The role demands a strong background in machine learning, experience with LLMs, and a proven ability to navigate ambiguity. You'll be exposed to cutting-edge AI applications and contribute directly to our customers' success. Tecton offers a competitive salary and comprehensive benefits package.

Requirements

• Bachelor's, Master's, or equivalent degree in Computer Science, Engineering, or a related field
• Minimum of 6+ years as a Machine Learning Engineer or Software Engineer specializing in machine learning infrastructure or GenAI applications
• Proven track record of building, fine-tuning, and deploying machine learning or generative AI models in production environments
• Strong 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
• Proficiency in working with cloud platforms (AWS, GCP, Azure) for deploying ML/GenAI pipelines, including familiarity with services like S3, Lambda, SageMaker, Vertex AI, or equivalent
• Good familiarity with the rapidly evolving market and a strong intuition for identifying valuable, unique opportunities versus trends that lack long-term potential
• A pronounced inclination toward experimental and iterative approaches, prioritizing swift progress, and being able to navigate through a high degree of ambiguity
• Proven Competency in driving projects from ideation to delivery in a collaborative environment and being able to partner across cross-functional teams and Product Managers

Responsibilities

• 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

Preferred Qualifications

• A PhD is a plus, especially with a focus on AI/ML or Natural Language Processing (NLP)
• Previous experience working on 0 to 1 projects is a plus

Benefits

• 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
• Competitive equity