
Jobright is your personal AI job search co-pilot that transform the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.

Jobright is your personal AI job search co-pilot that transform the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.
What they do: AI-native job platform offering a proactive "career agent" that finds, customizes, and can submit applications for job seekers
Founded / HQ: Founded 2023; headquartered in Santa Clara, California
Recent funding: Seed round $3.2M announced June 24, 2025 led by Translink Capital
Traction: Reported user base of ~520,000 (company blog)
Job search efficiency and application automation for job seekers (including international applicants).
2023
Software Development
$3.2M
Participation reported from HR Tech Investments
Verified Job On Employer Career Site
Job Summary:
Wayfair is one of the world’s largest online destinations for the home, and they are seeking a Machine Learning Scientist III to enhance their search and recommendations capabilities. The role involves designing scalable machine learning models, collaborating with cross-functional teams, and tackling challenges in recommendation systems.
Responsibilities:
• Elevate recommendation quality: Design and implement scalable machine learning models to improve the ranking, and personalization of product recommendations across Wayfair
• Develop robust retrieval systems: Build and optimize candidate generation pipelines that surface high-quality, personalized product recommendations at scale.
• Leverage user and product signals: Apply deep learning and representation learning to model user preferences, product attributes, and contextual signals for better recommendation performance.
• Innovate with cutting-edge techniques: Explore sequence modeling, embeddings, and multi-modal modeling to drive the next generation of recommender systems.
• Collaborate cross-functionally: Partner with product managers, engineers, and data scientists to align recommendation strategies with business objectives and user needs.
• Tackle recommendation-specific challenges: Solve key issues such as the cold-start problem, data sparsity, product compatibility and seasonality in dynamic environments.
• Advance the ML community at Wayfair: Contribute to internal knowledge sharing, author technical documentation, and represent Wayfair at top ML conferences like NeurIPS and RecSys.
Qualifications:
Required:
• Bachelor's or advanced degree (Master’s, PhD) in Computer Science, Machine Learning, Mathematics, Statistics, or related field.
• 3-6 years of experience as an ML engineer, applied scientist, or research scientist, with a proven track record of delivering ML projects autonomously and driving measurable business impact, particularly in recommendations, search, or ranking.
• Expertise in recommendation systems, including candidate generation, ranking algorithms, and user-item modeling.
• Deep understanding of collaborative filtering, sequence modeling, and embedding-based personalization.
• Experience with end-to-end project ownership, including collaboration with business partners and strong written and verbal communication skills.
• Strong proficiency in Python and/or Java for building and deploying ML-driven recommendation systems.
• Experience deploying machine learning models in production environments, with a focus on cloud-based solutions such as GCP (BigQuery, GCS, Vertex AI, Composer), as well as workflow orchestration tools like Airflow, model tracking using MLflow, and containerization technologies like Docker.
Company:
Wayfair is a retail store that offers a wide range of home products such as outdoor, bedding, lighting, and appliances with online services. Founded in 2002, the company is headquartered in Boston, Massachusetts, USA, with a team of 10001+ employees. The company is currently Public Company. Wayfair has a track record of offering H1B sponsorships.