Jobs in the United States

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Cleared AWS Platform / Infrastructure Automation Engineer (Washington, DC)
Virtual Service Operations
Washington, DC
- $175,000 to $230,000 USD / year
Strong infrastructure-as-code experience, particularly AWS CDK with Python or TypeScript.
Added 1 min ago
Senior Software Engineer, Proactive Security - Platform
DoorDash USA
Remote, United States
Strong software engineering skills in Go (or Kotlin, Java, Python), building production services and developer tooling.
Added 5 mins ago
CV
FP&A Manager
Cardone Ventures
Scottsdale, AZ
- $110,000 to $140,000 USD / year
Proficiency in SQL or Python for data extraction, transformation, and statistical analysis, not dependent on someone else to pull data. Advanced SQL for data extraction, transformation, and…
Added 7 mins ago
Post Quantum Cryptography Engineer
Booz Allen Hamilton_United States
Washington, DC
Experience with programming in Python, Rust, or C++ and low-level programming concepts
Added 7 mins ago
Physical AI Engineer, Lead
Booz Allen Hamilton_United States
Washington, DC
Experience with Python, C++, and modern AI frameworks such as PyTorch, JAX, TensorFlow, or Ray
Added 7 mins ago
Data Scientist, Junior
Booz Allen Hamilton_United States
Washington, DC
Experience with the development of algorithms leveraging R, Python, or SQL and NoSQL
Added 7 mins ago
Platform and Data Engineer
Booz Allen Hamilton_United States
Pearl Harbor, HI
…done outstanding work utilizing tools such as Foundry, Spark, Python, Qlik, Tableau, and web development frameworks such as React. In short, we are seeking a “full-stack” data engineer who…
Added 7 mins ago
Data Engineer, Mid
Booz Allen Hamilton_United States
McLean, VA
…modern data engineering technologies such as Databricks and Python to integrate, transform, and move data across enterprise…
Added 7 mins ago
Data Engineer, Senior
Booz Allen Hamilton_United States
McLean, VA
Develop and optimize data transformations using SQL and Python.
Added 7 mins ago
Backend Software Engineer
Booz Allen Hamilton_United States
McLean, VA · Fort Belvoir, VA
As a back-end developer, you know that a good site or system needs the right combination of clean code, APIs, analytics, and infrastructure to develop a user-focused solution. We’re looking…
Added 7 mins ago
Wireless and Edge Infrastructure Cybersecurity Engineer
Booz Allen Hamilton_United States
Annapolis Junction, MD
…Infrastructure-as-Code, including Ansible or scripted STIG compliance in Python or Bash, and SIM or eSIM provisioning security, including Ki or OPc handling and SM-DP+…
Added 7 mins ago
Platform DevOps Engineer, Senior
Booz Allen Hamilton_United States
Chantilly, VA
Knowledge of scripting languages such as Python or Linux Shell Script
Added 7 mins ago
Data Scientist
Booz Allen Hamilton_United States
Arlington, VA
Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL
Added 7 mins ago
Data Engineer, Mid
Booz Allen Hamilton_United States
Arlington, VA
Experience using Python and SQL to integrate data from enterprise databases, APIs, and operational systems
Added 7 mins ago
Data Engineer, Lead
Booz Allen Hamilton_United States
Arlington, VA
Experience with Python and SQL applied to complex data transformations, distributed processing, and production performance troubleshooting
Added 7 mins ago
DevOps Engineer
Booz Allen Hamilton_United States
Dayton, OH
Knowledge of scripting languages such as Python or Linux Shell Script
Added 16 mins ago
Manager, Data Science, Payments & Subscriptions
Sony Interactive Entertainment (SIE)
San Diego, CA
Deep fluency with SQL and Python, with the technical depth to review analytical code, challenge assumptions, guide experiment and model design, and contribute directly to complex analyses.
Added 17 mins ago
Senior Analytics Engineer
Virta Health
Remote, United States
…testing, and controlled deployments. Working proficiency in Python or Go for scripting, validation, and…
Added 18 mins ago
Director, IT Operations
Evergreen Residential Holdings, LLC
Dallas, TX
This is a full-time employee role based in our Dallas office (4 days in office, 1 day remote). The Company is unable to provide visa sponsorship.
Added 18 mins ago
Network Engineer III
Chenega Corp
UNAVAILABLE, SD
Support network interfaces, VLANs, routing protocols, and remote connectivity solutions.
Added 22 mins ago
Cobol Software Developer
Peraton
Remote, United States
Peraton is hiring a Cobol Software Developer for a remote role supporting our CMS program.
Added 23 mins ago
H
Senior IT Engineer, Automation
Horizon3
Remote, United States
- $142,718 to $161,904 USD / year
Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before…
Added 23 mins ago
H
Senior Backend Engineer, Licensing
Horizon3
Remote, United States
- $199,000 to $235,000 USD / year
Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals…
Added 23 mins ago
Senior Manager, Data Science
GitLab
Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and…
Added 25 mins ago
V
Senior Security Engineer
Vultr
Remote, United States
- $120,000 to $150,000 USD / year
…building secure, scalable cloud infrastructure through innovative Python-based tooling and…

Instacart

Senior Machine Learning Engineer, Fulfillment

Remote, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

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.

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.

CA, NY, CT, NJ

$207,000 - $218,500 USD

$198,000 - $209,000 USD

OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI

$190,000 - $200,500 USD

All other states

$173,000 - $182,500 USD

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