Machine Learning Engineer - Gen AI

6 days ago

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Tecton

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Machine Learning • Data Science • Feature Store • Data Engineering • Artificial Intelligence

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

☁️ SaaS

Description

• Tecton helps companies unlock the full potential of their data for AI applications. • The platform streamlines the complex process of preparing and delivering data to models. • With Tecton, AI teams accelerate the development of smarter, more impactful AI applications. • Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. • We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. • Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter. • Tecton is the industry’s leading feature platform - used by Data Scientists and ML Engineers at ML powerhouses like Atlassian, Block, and Coinbase. • By taking on this role, you will be responsible for bringing Tecton’s existing technology foundation to our customers’ GenAI use cases. • The field is evolving quickly and you’ll need to be on your toes, and deeply immersed in the GenAI space. • You will work directly with ML/AI Platform teams & use case teams, exposing you to production AI applications.

Requirements

• 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). • 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. • Previous experience working on 0 to 1 projects is a plus.

Benefits

• competitive equity • comprehensive medical benefits • comprehensive dental benefits • comprehensive vision benefits • life insurance • 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