What are the responsibilities and job description for the Machine Learning Engineer position at Crossfill?
Crossfill is searching for talented Machine Learning Engineers!
Why Crossfill?
The way people shop online is changing. Instead of browsing websites or scrolling through endless product pages, shoppers are using AI chatbots to find exactly what they want. Crossfill is building a platform to help eCommerce businesses optimize their digital footprint to thrive in this new era of AI-driven shopping.
What you'll do :
As a Machine Learning Engineer, you'll be responsible for building and scaling our platform. This role requires a unique blend of strong software engineering skills, deep machine learning expertise, and an intense focus on delivering an impactful product. You’ll design experiments, analyze large datasets, and develop knowledge systems that deliver insights and recommendations. You’ll be at the cutting edge of generative AI chatbots and automated content creation.
Who you are :
- Strong experience in natural language processing or similar. Solid understanding of machine learning algorithms, deep learning, and statistical modeling.
- Experience with natural language processing (NLP) for applications like chatbots or search.
- Strong systems and backend engineering skills. Proficiency in working with large datasets and distributed computing systems.
- Able to solve hard problems independently, while meshing with a team to accomplish shared goals
- Strong programming skills in Python; familiarity with C , TypeScript or other languages is a plus
- Proficiency in cloud platforms (e.g., AWS, GCP, Azure); Kubernetes is a plus
- Advanced degree in Computer Science, Machine Learning, or a related field
Crossfill is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age or other legally protected status.
Our compensation includes base salary, performance-based bonuses, and early-stage stock options. As a venture-backed technology start up, we are committed to rapid scale and positive outcomes for our team, our investors, and our clients.
