Senior Manager, Machine Learning Engineering
Instacart is hiring a Senior Manager, Machine Learning Engineering for a remote role open to applicants in United States. It pays $275k-$291k a year and Level rates it ; you can apply on Instacart.
Level's read on this job
- Builds AI ●●●● is how Level rates this machine learning engineer role: the job is building AI systems.
- Pay on this posting starts 38% higher than the typical machine learning engineer posting on Level.
- This is listed as a remote role.
- The posting mentions machine learning, engineering management and advertising optimization among its tools and skills.
- Instacart has 95 other open roles on Level.
AI in this role
Lead a team of engineers and applied scientists building state-of-the-art machine learning systems for advertising optimization.
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 minimal incidents.
- Facilitate the translation of complex algorithms into impactful solutions, and prioritize the product backlog to manage development timelines effectively. Collaborate with product managers to ensure engineering efforts are aligned with market needs.
About You
Minimum Qualifications
- Master's degree in Computer Science, Operations Research, Applied Mathematics, Control Systems, Computational Economics, or a related quantitative field.
- 7+ years of experience in software development.
- 2+ years of experience in software engineering management.
- Experience with digital advertising platforms, real-time bidding, budget pacing, and user targeting solutions.
- Proven track record of technical leadership in developing software products.
- Evidence of implementing innovative technical solutions that drove business success.
- Familiarity with data science, optimization, and machine learning techniques.
Preferred Qualifications
- PhD in Computer Science, Operations Research, Applied Mathematics, Control Systems, Computational Economics, or a related quantitative field.
- 4+ years of experience in software engineering management.
- Experience building machine learning models and solutions.
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
How we rate this
Senior Manager, Machine Learning Engineering at Instacart rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in machine learning engineer jobs at this level
Pay
- This job starts at
- $275k
- Typical machine learning engineer job
- $200k
This posting starts 38% above the typical machine learning engineer job. See machine learning engineer jobs
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where engineering management was part of your work. What did you do?
- Tell me about a project where advertising optimization was part of your work. What did you do?
- Tell me about a project where algorithms was part of your work. What did you do?
- How would you decide a model or AI system is ready to ship?
Adapt your resume
- List these exact terms on your resume: Machine learning, Engineering Management, Advertising Optimization, and Algorithms. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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