200+ applicants
fabric · 4 days ago
Senior Machine Learning Engineer
York, WA
Full-time
Remote
Senior Level
$150K/yr - $204K/yr
5+ years exp
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Responsibilities
Generative AI Development: Lead the research, design, and implementation of Generative AI models with a focus on product recommendation and personalization.
Algorithm Development: Research, design, and develop machine learning models and algorithms tailored to e-commerce use cases, including recommendation systems, demand forecasting, pricing/inventory optimization, and fraud detection.
Data Processing: Analyze large datasets to extract meaningful insights for training and fine-tuning Generative AI models.
Model Training: Train and fine-tune Deep Learning / Reinforcement Learning / Causal models using state-of-the-art techniques, incorporating both structured and unstructured data sources.
Model Deployment: Extensive experience working with machine learning / deep learning libraries and toolsets (C++/Java//Python preferred). Familiar with AWS or GCP ML tools ensuring scalability, reliability, and real-time performance.
Continuous Improvement: Monitor model performance, identify areas for improvement, and iterate on existing solutions to enhance accuracy and efficiency.
Collaboration: Collaborate with software engineers, product managers, and stakeholders to integrate machine learning features into the SaaS platform.
Research & Innovation: Stay up-to-date with the latest developments in machine learning and e-commerce. To be able to build quick prototypes for multiple use cases to explore green field opportunities across the ecommerce space.
Documentation: Maintain detailed documentation of ML models, processes, and solutions for future reference.
Qualification
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Required
Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
Proven experience (5+ years) in designing and implementing Generative AI models, preferably in the e-commerce or retail domain.
Proficiency in programming languages such as Python and familiarity with ML libraries/frameworks like TensorFlow, PyTorch, scikit-learn, etc.
Solid understanding of statistical modeling and data analysis techniques.
Experience in working with e-commerce-related large data (TB+ preferred) and concepts.
Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Excellent communication skills to explain complex technical concepts to non-technical stakeholders.
Knowledge of cloud platforms like AWS, Azure, or GCP.
Benefits
Competitive compensation packages
PTO and Holiday plans
Benefits packages which include Medical, Dental, Life, and Vision
Wellness & Technology Programs
401k Program
Fast-paced, fun and collaborative environment
A team invested in you both personally and professionally
Company
fabric
fabric offers a headless eCommerce platform that enables companies to grow their online presence via its API-driven modular system.
51-200 employees
H1B Sponsorship
fabric has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (4)
2022 (6)
2021 (10)
Funding
Current Stage
Growth StageTotal Funding
$293.5MKey Investors
SoftBank Vision FundStripesNorwest Venture Partners
2022-02-24Series C· $140M
2021-07-20Series B· $100M
2021-02-09Series A· $43M
Leadership Team
Umer Sadiq
CTO
Morgan Dollard
Senior Vice President Product Management & Delivery
Company data provided by crunchbase
