Machine Learning Engineer - Gen AI

Remote Full-time
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

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