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Senior Machine Learning Engineer II - AI Special Projects

Instacart

Senior Machine Learning Engineer II - AI Special Projects

Instacart logo

Instacart

full-time

Posted: December 9, 2025

Number of Vacancies: 1

Job Description

Responsibilities

  • 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.

Required Qualifications

  • 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.

Preferred Qualifications

  • Experience building scalable ranking and recommendation systems.
  • Application of ML models within an e-commerce environment.
  • Cloud infrastructure expertise (e.g., AWS, GCP), particularly in managing large GPU workloads for training and inference.
  • Demonstrated success as a technical leader, with the proven ability to guide teams toward strategic, high-impact outcomes.
  • Technical influence evidenced by contributions to blogs, published papers, or industry thought leadership.

Required Skills

  • Generative AI technologies
  • prompt engineering
  • model fine-tuning
  • AIQA processes
  • traditional machine learning
  • deep learning fundamentals
  • PyTorch
  • TensorFlow
  • data pipelines
  • SQL
  • Spark
  • CI/CD workflows
  • product-focused mindset
  • communication skills
  • cross-functional collaboration
  • AWS
  • GCP
  • GPU workloads

Benefits

  • highly market-competitive compensation
  • new hire equity grant as well as annual refresh grants

Salary Range

$196000 - $263000 USD

Locations

  • San Francisco, CA, United States, San Francisco, CA, United States

Salary

196,000 - 263,000 USD / yearly

Skills Required

  • Generative AI technologiesintermediate
  • prompt engineeringintermediate
  • model fine-tuningintermediate
  • AIQA processesintermediate
  • traditional machine learningintermediate
  • deep learning fundamentalsintermediate
  • PyTorchintermediate
  • TensorFlowintermediate
  • data pipelinesintermediate
  • SQLintermediate
  • Sparkintermediate
  • CI/CD workflowsintermediate
  • product-focused mindsetintermediate
  • communication skillsintermediate
  • cross-functional collaborationintermediate
  • AWSintermediate
  • GCPintermediate
  • GPU workloadsintermediate

Required Qualifications

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

Preferred Qualifications

  • Experience building scalable ranking and recommendation systems. (experience)
  • Application of ML models within an e-commerce environment. (experience)
  • Cloud infrastructure expertise (e.g., AWS, GCP), particularly in managing large GPU workloads for training and inference. (experience)
  • Demonstrated success as a technical leader, with the proven ability to guide teams toward strategic, high-impact outcomes. (experience)
  • Technical influence evidenced by contributions to blogs, published papers, or industry thought leadership. (experience)

Responsibilities

  • 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.

Benefits

  • general: highly market-competitive compensation
  • general: new hire equity grant as well as annual refresh grants

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Machine LearningGrocery DeliveryTechE-commerceMachine Learning

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Instacart logo

Senior Machine Learning Engineer II - AI Special Projects

Instacart

Senior Machine Learning Engineer II - AI Special Projects

Instacart logo

Instacart

full-time

Posted: December 9, 2025

Number of Vacancies: 1

Job Description

Responsibilities

  • 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.

Required Qualifications

  • 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.

Preferred Qualifications

  • Experience building scalable ranking and recommendation systems.
  • Application of ML models within an e-commerce environment.
  • Cloud infrastructure expertise (e.g., AWS, GCP), particularly in managing large GPU workloads for training and inference.
  • Demonstrated success as a technical leader, with the proven ability to guide teams toward strategic, high-impact outcomes.
  • Technical influence evidenced by contributions to blogs, published papers, or industry thought leadership.

Required Skills

  • Generative AI technologies
  • prompt engineering
  • model fine-tuning
  • AIQA processes
  • traditional machine learning
  • deep learning fundamentals
  • PyTorch
  • TensorFlow
  • data pipelines
  • SQL
  • Spark
  • CI/CD workflows
  • product-focused mindset
  • communication skills
  • cross-functional collaboration
  • AWS
  • GCP
  • GPU workloads

Benefits

  • highly market-competitive compensation
  • new hire equity grant as well as annual refresh grants

Salary Range

$196000 - $263000 USD

Locations

  • San Francisco, CA, United States, San Francisco, CA, United States

Salary

196,000 - 263,000 USD / yearly

Skills Required

  • Generative AI technologiesintermediate
  • prompt engineeringintermediate
  • model fine-tuningintermediate
  • AIQA processesintermediate
  • traditional machine learningintermediate
  • deep learning fundamentalsintermediate
  • PyTorchintermediate
  • TensorFlowintermediate
  • data pipelinesintermediate
  • SQLintermediate
  • Sparkintermediate
  • CI/CD workflowsintermediate
  • product-focused mindsetintermediate
  • communication skillsintermediate
  • cross-functional collaborationintermediate
  • AWSintermediate
  • GCPintermediate
  • GPU workloadsintermediate

Required Qualifications

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

Preferred Qualifications

  • Experience building scalable ranking and recommendation systems. (experience)
  • Application of ML models within an e-commerce environment. (experience)
  • Cloud infrastructure expertise (e.g., AWS, GCP), particularly in managing large GPU workloads for training and inference. (experience)
  • Demonstrated success as a technical leader, with the proven ability to guide teams toward strategic, high-impact outcomes. (experience)
  • Technical influence evidenced by contributions to blogs, published papers, or industry thought leadership. (experience)

Responsibilities

  • 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.

Benefits

  • general: highly market-competitive compensation
  • general: new hire equity grant as well as annual refresh grants

Target Your Resume for "Senior Machine Learning Engineer II - AI Special Projects" , Instacart

Get personalized recommendations to optimize your resume specifically for Senior Machine Learning Engineer II - AI Special Projects. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Machine Learning Engineer II - AI Special Projects" , Instacart

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Machine LearningGrocery DeliveryTechE-commerceMachine Learning

Related Jobs You May Like

No related jobs found at the moment.