
51 - 200 employees
🛍️ eCommerce
🤝 B2B
☁️ SaaS
eCommerce • B2B • SaaS
Trellis is a full service eCommerce agency that specializes in strategy, creative, technology, and performance marketing to enhance digital commerce. They partner with various industries such as manufacturing, distribution, fashion, health, and technology to create brands that connect and convert through platforms like Shopify, BigCommerce, and Magento. Trellis focuses on improving the entire customer journey, using data-driven insights to boost sales and offers services in marketing, creative design, development, and integrations. Their expertise in eCommerce platforms enables them to build scalable digital experiences and provide world-class eCommerce solutions.
🕒 April 21
🇺🇸 United States – Remote
💵 $150k - $200k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🤖 AI Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
🛍️ eCommerce
🤝 B2B
☁️ SaaS
eCommerce • B2B • SaaS
Trellis is a full service eCommerce agency that specializes in strategy, creative, technology, and performance marketing to enhance digital commerce. They partner with various industries such as manufacturing, distribution, fashion, health, and technology to create brands that connect and convert through platforms like Shopify, BigCommerce, and Magento. Trellis focuses on improving the entire customer journey, using data-driven insights to boost sales and offers services in marketing, creative design, development, and integrations. Their expertise in eCommerce platforms enables them to build scalable digital experiences and provide world-class eCommerce solutions.
• Use your experience to design features connecting natural language queries with a large corpus of legal knowledge. • Build a data architecture you are proud to highlight. • Use unstructured data to build large scale data sets. • Work on a team dedicated to ML and Data Science with ownership of multiple projects and products. • Collaborate with the Product team to understand new features.
• At least 7 years of backend engineering experience, at least 2-3 of which were spent building products using LLMs. • At least 1-2 years of experience fine-tuning LLMs for domain-specific and otherwise custom use-cases. • At least 1-2 years of experience building or using tooling to evaluate LLMs and LLM-based products, e.g. experience evaluating extractive and abstractive summaries. • At least 4-5 years of experience deploying custom machine learning models and working on end-to-end ML pipelines, including with unstructured data. • Experience building semantic search is a plus. • Python proficiency and working knowledge of SageMaker and Bedrock. • Strong understanding of Machine Learning, specifically Large Language Models. • Have mentored other Engineers in multiple projects. • Startup experience is highly valued. • BS/MS in Computer Science or a related technical discipline, or equivalent technical work experience.
• Flexible remote-first work culture (with office space in Los Angeles). • We cover 100% of health, dental, and vision insurance for you and for spouses and dependents. • We have a 401(k) retirement savings plan with employer matching contributions. • Meaningful equity. • Flexible vacation policy.
Apply Now🕒 April 21
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