Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 21 hours ago

Senior Machine Learning Engineer, Fulfillment

Instacart96 open roles

Pay
CA$180,000 – CA$190,000 a year
Where
Canada - Remote (ON, AB, BC, or NS Only)
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Machine Learning Engineer, FulfillmentInstacart · Canada - Remote (ON, AB, BC, or NS Only)

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Instacart's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.9% of postings close within 7 days. Measured by our own scanner across the market. Instacart postings stay open a median of 45 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 12.9%7 days
  4. 21.0%14 days
  5. 35.6%30 days
  6. 58.5%60 days
This job: posted 21 hours ago

Instacart median: 45 days open

The posting

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

Instacart’s Enterprise AI organization builds intelligent products and platforms that help transform the grocery industry. Our teams apply machine learning, optimization, and software engineering to solve complex problems for customers, shoppers, retailers, brands, and internal partners.

We are seeking a Senior Machine Learning Engineer to design, build, and deploy production machine learning systems that create measurable business impact. You will work across the full lifecycle of machine learning products, from problem formulation and data development through experimentation, deployment, monitoring, and continuous improvement.

This role is ideal for an engineer who combines strong machine learning expertise with excellent software engineering fundamentals. You will collaborate closely with product managers, data scientists, platform engineers, and business partners to translate ambiguous opportunities into reliable, scalable solutions. The work will be fast-paced and highly collaborative, with opportunities to solve challenging problems at significant scale and see your systems used in the real world.

About the Job

  • Design, implement, and deploy machine learning models and services that support high-impact Enterprise AI products and business initiatives.
  • Own the full machine learning lifecycle, including problem formulation, data preparation, feature development, model training, offline evaluation, experimentation, production rollout, and ongoing performance monitoring.
  • Build reliable, scalable, and maintainable software in Python and related technologies, applying strong practices for testing, profiling, code review, documentation, and operational readiness.
  • Partner with product, engineering, data science, and business stakeholders to define success metrics, prioritize work, and deliver solutions that improve customer and business outcomes.
  • Develop and operate machine learning services on cloud infrastructure, with appropriate monitoring, alerting, observability, and safeguards for production performance and reliability.
  • Use experimentation, statistical analysis, and causal or counterfactual evaluation techniques to assess model quality and guide launch decisions.
  • Help shape technical direction through design reviews, architecture discussions, and thoughtful evaluation of modeling approaches, infrastructure choices, and tradeoffs.
  • Contribute to a strong engineering culture by sharing knowledge, mentoring teammates, improving development practices, and participating in operational support for critical services.

This is a fast-moving environment where priorities, data, and business needs can evolve quickly. Success requires comfort with ambiguity, pragmatic prioritization, sound technical judgment, and a willingness to move between strategic problem-solving and hands-on implementation.

About You

You bring a strong foundation in machine learning and software engineering, along with the ability to communicate clearly and work effectively across disciplines. You take ownership from idea through production, are motivated by measurable impact, and enjoy solving challenging problems with practical, scalable solutions.

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field, or equivalent practical experience.
  • Five or more years of professional experience developing and deploying machine learning models or systems in production.
  • Proficiency in Python and SQL, including experience writing production-quality code with automated testing, profiling, debugging, and code review practices.
  • Experience with the complete machine learning lifecycle, including data preparation, feature engineering, model evaluation, experimentation, deployment, and production monitoring.
  • Experience building and operating machine learning services or data products in a cloud environment such as Google Cloud Platform or Amazon Web Services.
  • Experience with containerized services and production software development practices, including Docker, continuous integration, monitoring, alerting, and incident response.
  • Demonstrated ability to work with product, engineering, data science, and business stakeholders to define requirements and deliver measurable outcomes.

Preferred Qualifications

  • Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • Experience designing machine learning systems for large-scale, high-throughput, or low-latency applications.
  • Familiarity with distributed data processing, streaming systems, feature stores, or real-time feature computation.
  • Experience with model serving, orchestration, and machine learning platforms such as Kubernetes, Airflow, Spark, or comparable technologies.
  • Experience designing simulation, experimentation, or counterfactual evaluation frameworks for machine learning and decision systems.
  • Proficiency in a performance-oriented language such as C++, Java, or Go.
  • Experience mentoring engineers, leading cross-functional projects, or setting technical direction for machine learning initiatives.
  • Experience working in e-commerce, marketplaces, logistics, retail, advertising, or another domain involving complex and evolving business constraints.

#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. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

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 Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN

$180,000—$190,000 CAD

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Instacart's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Instacart's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Instacart's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.