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36 Radar Product Development Jobs Hiring Near You

RADAR

Machine Learning Engineer

Sunnyvale, CA · On-site

$195K - $264K/yr

RADAR is changing that. RADAR is building the data infrastructure layer for the physical world ... products * Accelerate ML development: Optimize feature engineering pipelines for performance and ...

RADAR

Engineering Manager, Site Reliability

Manhattan, NY · On-site

$180 - $240/hr

Work on core Radar infrastructure using Terraform all deployed to AWS via EKS * Work with our product, data, platform, and security engineers to ensure the development of highly-available, scalable ...

Radar

Engineering Manager, Platform

New York, NY

... development through automated tooling and workflows. Radar is a high-throughput, data intensive ... We monitor production with CloudWatch, Grafana, Pingdom and PagerDuty. * Most engineers are in the ...

Radar

Senior / Staff QA Engineer

New York, NY

About Radar Radar is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI ... We're committed to our product vision of full-stack location infrastructure, but we also know that ...

RADAR

Human Resources Business Partner

New York, NY

$120K - $190K/yr

RADAR is changing that. RADAR is building the data infrastructure layer for the physical world ... You'll make meaningful contributions from day one and help shape the future of our product and ...

Posted today

RADAR

Senior Manager, Strategic Finance

New York, NY · On-site

$119K - $162K/yr

Customer Pricing & Unit Economics * Assist with RADAR's customer pricing models, analyzing the ... Partner with Sales, Product, and Customer Success to stress-test pricing assumptions and identify ...

RADAR

Senior Customer Experience Manager

New York, NY · On-site

... RADAR's technology in retail environments. This role balances internal coordination with Product ... development in a fast-paced, customer-driven organization. ABOUT YOU Required : * 4+ years ...

RADAR

Senior Manager, Brand Marketing

New York, NY · On-site

RADAR has strong points of view and meaningful market presence and this role will bring those ... You will work closely with our Commercial, Product, Customer and RFID Center of Excellence teams to ...

RADAR

Machine Learning Engineer

Sunnyvale, CA · Hybrid

$195K - $264K/yr

... RADAR. The role requires extensive collaboration with teams and functions across the company ... products * Accelerate ML development: Optimize feature engineering pipelines for performance and ...

RADAR

Senior Customer Experience Manager

New York, NY · On-site

$95K - $150K/yr

... RADAR's technology in retail environments. This role balances internal coordination with Product ... development in a fast-paced, customer-driven organization. ABOUT YOU Required : * 4+ years ...

RADAR

Manager, Strategic Operations

New York, NY · On-site

$110K - $151K/yr

This role brings discipline and structure to how RADAR plans, prioritizes, and delivers on its most ... You will work closely with all teams, including Finance, Product, Go To Market, Engineering ...

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    Infographic showing various Product Development job openings at Radar in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% Physical, and 17% Hybrid job distribution.

    Machine Learning Engineer

    RADAR

    Sunnyvale, CA • On-site

    $195K - $264K/yr

    Full-time

    Medical, Dental, Life, Retirement

    Re-posted 22 days ago

    Job description

    ABOUT US
    E-commerce got real-time data infrastructure decades ago. Physical stores still have not. RADAR is changing that.
    RADAR is building the data infrastructure layer for the physical world, starting with retail. Our hardware-enabled SaaS platform uses proprietary overhead sensors, software, and AI-powered analytics to locate every product in a store, continuously, down to the fixture. We are deployed across 1,400+ stores with retailers including American Eagle Outfitters and Old Navy, processing tens of billions of real-world events every day, delivering 99%+ accuracy in complex, noisy environments - at fleet scale.
    RADAR is one of the best-funded companies in retail technology, backed by a recent Series B financing at a $1 billion valuation. Inventory accuracy is only the beginning. We believe RADAR can become foundational infrastructure for the physical economy, powering new AI-driven commerce experiences across retail and beyond.
    Join us if you want to work on a large, unsolved, technically challenging problem with an ambitious team building category-defining technology.
    OUR VALUES
    • Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters.
    • Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together.
    • High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company.
    • Clear Communication: We value honesty, humility, and respectful dialogue-everyone's voice matters.
    • Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work.
    • Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints.
    • Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.

    ABOUT THE JOB
    We are looking for a Machine Learning Engineer to help build and develop our ML capabilities at RADAR. The role requires extensive collaboration with teams and functions across the company ranging from product and customer success to engineering, data science and research.
    This is a hybrid role based in our Sunnyvale, CA location with a flexible hybrid work schedule of 2-3 days in the office.
    Responsibilities:
    • Build and scale ML infrastructure: Design and maintain scalable, reliable and efficient production pipelines for feature engineering, training, prediction and model serving using tools including Airflow, Big Query and Kubeflow
    • Drive model performance: Train, validate and deploy high-quality ML models, applying advanced techniques in feature selection, hyperparameter tuning and model architecture choices to improve the accuracy of our products
    • Accelerate ML development: Optimize feature engineering pipelines for performance and scalability while collaborating with Data Science to research, develop, and deploy new features that improve model accuracy
    • Ensure reliability: Implement comprehensive model monitoring, automated training pipelines, and observability solutions to maintain model health and performance
    • Accelerate ML development: Optimize feature engineering pipelines for performance and scalability while collaborating with Data Science to research, develop, and deploy new features that improve model accuracy
    • Champion best practices: Apply CI/CD principles including automated testing, model validation, and deployment strategies
    ABOUT YOU
    Required:
    • 5+ years building production ML systems at scale, including feature engineering, training, deployment, and monitoring
    • Strong proficiency in Python and ML frameworks (scikit-learn, PyTorch, XGBoost)
    • Hands-on experience with cloud ML platforms (AWS SageMaker, Vertex AI, or Azure ML)
    • Expertise in big data processing including SQL optimization and distributed computing (Spark/Dask)
    • Production experience with workflow orchestration tools (Airflow, Dagster, Prefect)
    • Proficiency with version control (Git) and CI/CD practices
    Preferred:
    • Experience with real-time streaming data (Kafka, Flink, Pub/Sub.)
    • Bachelor's degree in Computer Science, Statistics, or related field
    • Experience with MLOps tools (MLflow, Weights & Biases, etc.)

    At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $195,000 - $264,000. Individual pay is determined by work location and additional factors, including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan, flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.
    Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness.

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