Jobs / United States / Maplebear INC D/b/a Instacart

Maplebear INC D/b/a Instacart

Senior Manager, Machine Learning Engineering

United States - Remote · Remote · US only Posted today

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Skills this job asks for

Machine learningLeadershipTranslation

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Where you can work from

United States only

Based on the listing's location: United States - Remote.

The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordUSCIS Data Hub records 42 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
USCIS Data Hub records 42 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it. Source: US Department of Labor visa filings (LCA) (US Department of Labor (OFLC), plus USCIS H-1B Employer Data Hub).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview As the Senior Engineering Manager for the Advertiser Optimization team, you'll lead a team of engineers and applied research scientists to build state-of-the-art systems that optimize ad performance via bidding, pacing, targeting, etc. Building on Instacart’s unique data and market position, these systems create value for advertising partners, improve consumer experience, and directly contribute to Instacart's overall revenue / business success. You'll have the unique opportunity to collaborate with a cross-functional team, turning diverse insights into powerful solutions that elevate advertising effectiveness. Your leadership will steer the development of sophisticated algorithms and machine learning models, driving performance gains across our advertising platform. Together, we'll build an ads ecosystem that not only serves millions but also excels in delivering value to users and advertisers alike. Instacart Ads is at the forefront of transforming the grocery shopping experience by seamlessly integrating advanced advertising solutions into our platform. Our Advertiser Optimization team is a dynamic group of innovators devoted to building cutting-edge optimization solutions that enhance the efficiency and performance of our ads ecosystem. By leveraging advanced algorithms and machine learning models, the team ensures that our advertising partners achieve exceptional results while providing a relevant and engaging experience for our customers. About the Job • Guide and mentor team members, building career development plans and supporting their professional growth. • Nurture a culture geared towards innovation and ongoing enhancement, ensuring the team's efforts are in harmony with the company's vision and engineering excellence. Regularly assess team performance, offering constructive feedback, and advocate for a collaborative and inclusive work environment. • Build strategic partnerships with data science, infrastructure, and other technical teams to drive synergy across the organization, ensuring seamless integration of software engineering and machine learning solutions. • Shape a long-term technical vision in the auto-bidding, budget pacing and user targeting space, which supports the company's business goals. Identify and integrate emerging technologies to boost product features. Manage the technical aspects of key projects, proactively addressing risks. Foster a culture of continuous improvement in software engineering processes. • Oversee the delivery of key projects, proactively addressing risks, and establish team processes that improve delivery velocity, quality, and operational stability with mi

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