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, Snap, Twitter, 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 Engineer, 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 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:
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.
Implementation: train, deploy, and optimize GAI and LLM algorithms and models to improve product recommendations, search relevance, personalization, and customer interaction.
Delivery: Collaborate with product, engineering, and data science 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, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on big data or artificial intelligence.
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:
- Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Statistics, or a related field with a focus on machine learning or artificial intelligence.
- Experience with large-scale data processing and distributed computing frameworks (e.g., Hadoop, Spark).
- Familiar with the major data warehouse and data pipeline technologies (Amazon Redshift, Google BigQuery, Snowflake, Apache Airflow)
- Strong background in machine learning, deep learning, generative models, and large language models.
- Proficiency in programming languages such as Python, and understanding with machine learning frameworks and libraries
- Excellent problem-solving skills, with the ability to think creatively and work independently or as part of a team.
- Strong communication and collaboration skills, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.
- Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying machine learning models.
- Knowledge of reinforcement learning and its applications in generative models and large language models.
Benefits:
- Competitive salary and equity options.
- Flexible work environment with options for remote work.
- 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!