Senior Machine Learning Engineer, Instacart

• Expertise in Generative AI technologies, including prompt engineering, model fine-tuning, and familiarity with emerging AI trends and AIQA processes
• Strong background in traditional machine learning and deep learning fundamentals, with hands-on experience building efficient models using frameworks like PyTorch or TensorFlow
• Professional software development skills, including building data pipelines (SQL/Spark), managing CI/CD workflows, and deploying models into production environments
• Product-focused mindset with a bias for action and proven ability to define and solve complex business problems through cross-functional collaboration
• Exceptional communication skills, with the ability to influence stakeholders and translate technical insights into actionable business strategies
• An innovation-driven mindset, rooted in curiosity and a passion for pushing the boundaries of applied AI

Desirable

• As a technical lead on the team, you'll play a pivotal role in shaping the future of Instacart's AI platform offerings
• This role provides the opportunity to elevate AI at Instacart by applying advanced industry architectures, innovating upon them, and deploying them to improve experiences for our customers and retailers
• From Day 1, you will arrive as a leader on the team with significant scope and influence
• This includes contributing through your product mindset, technical vision, strong execution, and mentorship
• If a culture of bottom-up innovation and deep ownership resonates with you, we’re excited to meet you!
• Build the team vision: Partner with cross-functional leaders to define key business challenges and design AI-first solutions that unlock substantial value for customers and stakeholders
• Drive hands-on execution: Lead the development of personalized content and recommendation systems by leveraging a mix of generative and traditional machine learning architectures to drive core business outcomes
• Deploy AI systems at scale: Drive end-to-end software development, including building ML services, agentic workflows, managing experiment lifecycles, and deploying production-ready AI solutions at scale
• Innovate: Stay at the cutting edge of AI innovation by conducting literature reviews and exploring novel paradigms in recommendation systems (RecSys). Identify opportunities for customization and apply these advancements to meet Instacart’s unique needs
• Elevate the team: Mentor and guide junior team members, fostering learning, engagement, and technical growth within the team