Machine Learning Engineer - Gen AI

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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