Job Description

Our mission is to inspire entrepreneurs and shoppers to find something new. We buy great brands built on Shopify, unlocking liquidity for small business entrepreneurs looking to start new adventures. We manage nearly 50 brands with over 100,000 products across apparel, beauty, home goods, and electronics.

Our team of e-commerce experts and engineers uses our proprietary technology and tooling, and advantages from our size, to grow our brands at scale.

OpenStore was started in 2021 by top investor and operator, Keith Rabois, a former executive at PayPal, LinkedIn, and Square, and a co-founder of Opendoor. We are backed with $150M+ from world-class investors such as Atomic, Khosla Ventures, Founders Fund, General Catalyst, and Lux Capital.

Job Title: Senior LLM Software Engineer

Salary Range: $160,000 - $260,000

ABOUT THE OPPORTUNITY

Join OpenStore as a Senior LLM Software Engineer where you'll play a pivotal role in developing and implementing cutting-edge language models to revolutionize our e-commerce platform. You'll be at the forefront of applying AI technology to enhance customer experiences, optimize operations, and drive innovation in the e-commerce space. Collaborate with a team of exceptional engineers to define and execute the technical aspects of our AI-driven vision.

WHAT YOU'LL DO

• Design, develop, and deploy large language models (LLMs) to solve complex e-commerce challenges

• Optimize LLM performance, focusing on efficiency, scalability, and accuracy for production environments

• Collaborate with cross-functional teams to integrate LLM solutions into our existing e-commerce platform

• Develop and maintain end-to-end machine learning pipelines for LLMs, from data preprocessing to model deployment

• Contribute to the future architecture of key AI systems and frameworks, balancing innovation and reliability

• Stay current with the latest advancements in LLM technology and assess their applicability to our projects

• Mentor junior team members and contribute to shaping our AI technology strategy and roadmap

WHO YOU ARE

• You are passionate about AI and its applications in e-commerce

• You thrive in fast-paced environments and enjoy tackling complex challenges

• You are analytically rigorous and have a bias towards using data to make decisions

• You are collaborative, organized, and thoughtful in your approach to problem-solving

• You are curious and constantly seek to learn and explore new ideas in the field of AI and LLMs

• You take ownership of your work and proactively identify opportunities for improvement

WHAT YOU HAVE

• 5-8+ years of software engineering experience, with a focus on machine learning and NLP

• Strong expertise in designing, training, and deploying LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face

• Proficiency in Python and familiarity with ML libraries and tools

• Experience in scaling AI models for production use cases, with a focus on performance optimization and robustness

• Solid understanding of algorithms, data structures, and software engineering principles

• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure

• BSc or MSc in Computer Science, Machine Learning, or a related field

• Experience with e-commerce platforms or the Shopify ecosystem is a plus

BENEFITS:

✅ Salary range of $160,000 - $260,000 + a competitive equity package + 401(k)

❤️ 100% medical, dental, vision coverage, access to One Medical, Headspace, Spring Health

🏝️ Flexible PTO with 12 holidays, competitive parental leave

💪 Fitness stipend of $1,200 annually paid on a monthly basis

🌸 Fertility reimbursement of $20,000 lifetime benefit from Carrot Fertility

🍕 Breakfast, lunch, and dinner every day of the week from Sweetgreen, Uber Eats

Compensation and Bonuses

All cash considerations, including base salary and bonuses, are determined based on experience, qualifications, and interview performance. Our comprehensive compensation package includes a competitive base salary and a bonus structure that rewards both individual and company performance. Each employee’s bonus is calculated using a combination of personal achievements and overall organizational success, fostering a culture of individual excellence and collective growth. The specific details of the compensation package, including bonus percentages and performance criteria, will be discussed during the interview process and outlined in the offer of employment. We are committed to recognizing and rewarding exceptional talent while promoting a collaborative environment where individual efforts contribute to our shared success.

OpenStore is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

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