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Machine Learning Object Detection Jobs in Bound Brook, NJ

Grailed

Staff Machine Learning Engineer

New York, NY

$187K - $233K/yr

Establish and maintain model monitoring, alerting, drift detection, and retraining cadences -- the ... production machine learning systems. * Demonstrated end-to-end ownership: training pipelines ...

Thalo Labs

Senior Machine Learning Engineer

New York, NY · On-site

$150K - $180K/yr

As our Senior Machine Learning Engineer, you'll own the intelligence layer of Thalo's platform. We ... You'll build and tune our issue-detection engine, put physics-based, ML, and LLM-powered models ...

Thalo Labs

Senior Machine Learning Engineer

New York, NY

$150K - $180K/yr

As our Senior Machine Learning Engineer, you'll own the intelligence layer of Thalo's platform. We ... You'll build and tune our issue-detection engine, put physics-based, ML, and LLM-powered models ...

Autodesk

Senior Machine Learning Test Engineer

New York, NY · On-site +1

$120K - $157K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Build quality gates for training and deployment pipelines (e.g., regression checks, drift detection)

Thalo Labs

Senior Machine Learning Engineer

New York, NY

$150K - $180K/yr

As our Senior Machine Learning Engineer, you'll own the intelligence layer of Thalo's platform. We ... You'll build and tune our issue-detection engine, put physics-based, ML, and LLM-powered models ...

Horizon Media

Data Scientist II

New York, NY

... object detection, predictive scoring using categorical or labelled datasets, and targeting ... Familiarity of a variety of machine learning techniques (LLM application, clustering, decision tree ...

Horizon Media

Data Scientist II

New York, NY · On-site

... object detection, predictive scoring using categorical or labelled datasets, and targeting ... Familiarity of a variety of machine learning techniques (LLM application, clustering, decision tree ...

KARGO

Senior Machine Learning Engineer

New York, NY

$150K - $175K/yr

The Opportunity Kargo is hiring a senior machine learning engineer to own the evolution of ... Deploy real-time monitoring, drift detection, and alerting so production model degradation is ...

PhysicsX

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced ... anomaly detection, optimization & control) to customer production environments. * Communicate ...

Kargo

Senior Machine Learning Engineer

New York, NY · On-site

$150K - $175K/yr

The Opportunity Kargo is hiring a senior machine learning engineer to own the evolution of ... Deploy real-time monitoring, drift detection, and alerting so production model degradation is ...

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Showing results 41-60

All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Bound Brook, NJ

Machine Learning Object Detection information

See Bound Brook, NJ salary details

$33.6K

$137.2K

$206.2K

How much do machine learning object detection jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning object detection in Bound Brook, NJ is $137,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $165,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning object detection engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
Machine Learning Object Detection jobs near you

Senior Machine Learning Engineer - Policy & Safety

Spotify

New York, NY

$184K - $262K/yr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago

Job description

We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.


The Policy & Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify's content moderation infrastructure - from detection models to policy enforcement systems and compliance data pipelines.

Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They're on the critical path for every new content type and social feature - including messaging, comments, and collaborative experiences - ensuring safety is built in from day one. With a strong focus on "safety by default," the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform.

What You'll Do

  • Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale

  • Own and lead key technical initiatives across detection, classification, and policy evaluation systems

  • Develop and maintain ML models for content moderation, including multimodal and LLM-based systems

  • Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops

  • Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems

  • Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs

  • Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization

  • Represent technical decisions and trade-offs in stakeholder discussions and influence product direction

Who You Are

  • You have solid experience building and deploying machine learning systems in production environments at scale

  • You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch

  • You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems

  • You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains

  • You care about building safe, responsible, and user-centric ML systems

  • You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders

  • You have experience leading technical projects and influencing direction within a team or product area

  • You have experience with distributed systems or backend technologies (e.g., Scala)

Where You'll Be

  • This role is based in New York

  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $184,050 - $262,928 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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