Personal AI Stylist Engineer

2 days ago


Bengaluru, Karnataka, India alle Full time
Company Overview:
Alle is a venture-backed startup that aims to revolutionize the fashion industry with its personal AI stylist. The company's vision is to provide users with a seamless and impactful experience, enabling them to discover, try-on, and shop the best fashion ideas.

Job Description:
As an ML Engineer at Alle, you will be responsible for designing, developing, and deploying systems that recommend looks and products tailored to user preferences and behaviors. You will analyze complex datasets to uncover insights and patterns that inform model development, implement and test various recommendation algorithms to improve conversion, optimize existing machine learning models for performance and scalability, and collaborate with product managers, engineers, and designers to integrate these systems into the product.

Responsibilities:
• System Development: Design and develop systems that provide personalized recommendations to users
• Data Analysis & Modeling: Analyze complex data sets to identify trends and patterns that inform model development
• Optimization & Scaling: Optimize existing machine learning models to ensure they are efficient and scalable
• Cross-functional Support: Collaborate with other teams to integrate the system into the product

Requirements:
• 2-6 years of experience in machine learning, data science, or a related field
• Hands-on expertise in building, deploying, and improving recommendation systems
• Quick learner with strong technical problem-solving skills
• Prior experience working in fast-paced startups is a plus

Benefits:
As an early member of the team, you will have the opportunity to directly influence the company's direction and product evolution. You will also experience rapid growth through hands-on challenges, enjoy a clear and visible impact on your work, receive ESOPs that can create a large financial outcome, work closely with the founders on key initiatives, foster deep relationships with your colleagues, and potentially advance to leadership roles quickly.

Salary: $120,000 - $180,000 per year

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