Company Overview:

We are a venture-backed stealth startup reimagining the shopping experience with the power of Generative AI for brands and retailers. We are a team of serial entrepreneurs, engineers, and research scientists from Amazon, Microsoft, and innovative commerce enablement startups. Our team has extensive experience working directly with Fortune 500 retailers and disruptive DTC brands. Collectively, we have built cutting-edge technologies that shape the daily experiences of millions of shoppers. Join us as we continue to drive innovation and redefine the future of commerce.

Position Overview:

As the ML Scientist you will be responsible for building GAI/LLM models end-to-end, from developing the data pipeline to model deployment, to solving real-world problems in the e-commerce sector. You will also collaborate with cross-functional teams to deliver solutions that delight our customers and shoppers.

This role is based in Bellevue, WA, it presents an exciting opportunity to be part of the founding team to drive innovation in product and contribute directly to the growth and success of our dynamic startup.

Key Responsibilities:

AI/ML Research and Innovation: Conduct cutting-edge research in Generative AI (GAI) and Large Language Models (LLMs), staying at the forefront of AI/ML advancements. Identify and explore novel algorithms, architectures, and techniques to enhance model performance, scalability, and efficiency in e-commerce applications.

Implementation: train, deploy, and optimize GAI and LLM algorithms and models to improve product recommendations, search relevance, personalization, and customer interaction.

Data Engineering: Design, build, and manage ETL processes to gather data from various sources, transform it into a usable format, and load it into a data warehouse or data lake.

Delivery: Collaborate with product, engineering, and data teams to identify opportunities for applying generative AI and LLMs to solve complex problems and enhance customer experiences.

Evaluation: Design and conduct experiments to evaluate the performance and effectiveness of generative and language models in an e-commerce context.

Qualifications:

Education: Ph.D. or Master’s degree in AI, Machine Learning, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on artificial intelligence.

Experience: 2-5 years of experience, proven experience in developing and deploying AI applications end to end in real-world applications, preferably in e-commerce or a related field.

Technical Skills:

Deep expertise in generative models (e.g., GANs, diffusion models, autoencoders) and Large Language Models (e.g., GPT, BERT, T5, LLaMA).
Experience with LLM fine-tuning, prompt engineering, and deploying LLMs for applications such as natural language understanding, content generation, and recommendation systems.
Strong understanding of the architecture and training techniques for transformer-based models, attention mechanisms, and optimization strategies for LLMs.
Expertise in distributed training of large-scale models, including using parallelization and optimization techniques for handling large datasets.
Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, and libraries focused on GAI/LLM development.
Experience with large-scale data processing and distributed computing frameworks (e.g., Hadoop, Spark).
Familiarity with data warehouse and data pipeline technologies (e.g., Amazon Redshift, Google BigQuery, Snowflake, Apache Airflow).
Knowledge of cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying and scaling machine learning models, especially those involving LLMs and GAI.
Strong problem-solving skills, with the ability to think creatively, and a proven ability to work both independently and collaboratively.
Understanding of reinforcement learning and its applications within generative AI and LLMs for decision-making, personalization, or conversational AI systems.

Benefits:

Competitive salary and equity options.
Comprehensive health benefits package.
Opportunities for professional growth and career development in a rapidly expanding startup.

Join Us:

If you are passionate about creating impactful and user centric product experiences through AI driven innovation in e-commerce, and possess the skills and experience outlined above, we invite you to apply and be part of our mission to redefine online shopping experiences.

Application Process:

Please submit your resume, a link to your portfolio, and a cover letter detailing your relevant experience and why you are interested in joining our team. We look forward to hearing from you!

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