Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer ...
Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer ...
Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer ...
Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer ...
Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer ...
Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer ...
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Senior Tesla Machine Learning Engineer information
See Hackettstown, NJ salary details
$61.5K - $73.1K
1% of jobs
$73.1K - $84.8K
3% of jobs
$84.8K - $96.4K
7% of jobs
$107.8K is the 25th percentile. Wages below this are outliers.
$96.4K - $108.1K
14% of jobs
$108.1K - $119.7K
17% of jobs
The median wage is $124.6K / yr.
$119.7K - $131.4K
19% of jobs
$131.4K - $143K
13% of jobs
$144.5K is the 75th percentile. Wages above this are outliers.
$143K - $154.7K
11% of jobs
$154.7K - $166.3K
7% of jobs
$166.3K - $178K
5% of jobs
$178K - $189.6K
3% of jobs
$61.5K
$130.8K
$189.6K
How much do senior tesla machine learning engineer jobs pay per year?
What does a senior Tesla machine learning engineer do?
What are the key skills and qualifications needed to thrive as a senior Tesla machine learning engineer?
How does a senior Tesla machine learning engineer typically collaborate with cross-functional teams?
What is the difference between Senior Tesla Machine Learning Engineer vs Data Scientist?
| Aspect | Senior Tesla Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, EE, or related; experience in ML frameworks | Bachelor's/Master's in CS, Statistics, or related; strong analytical skills |
| Work Environment | Develops ML models for autonomous vehicles, energy, and manufacturing | Analyzes data to extract insights, supports product and business decisions |
| Employer & Industry Usage | Tesla, automotive, energy, AI projects | Various industries including tech, finance, healthcare |
While both roles involve working with data and algorithms, the Senior Tesla Machine Learning Engineer focuses on developing and deploying machine learning models for Tesla's products, especially autonomous systems. In contrast, a Data Scientist primarily analyzes data to inform business decisions across various industries. The ML Engineer role requires deeper expertise in machine learning frameworks and deployment, whereas Data Scientists focus more on statistical analysis and data visualization.
What job categories do people searching Senior Tesla Machine Learning Engineer jobs in Hackettstown, NJ look for?
The top searched job categories for Senior Tesla Machine Learning Engineer jobs in Hackettstown, NJ are:
What cities near Hackettstown, NJ are hiring for Senior Tesla Machine Learning Engineer jobs?
Cities near Hackettstown, NJ with the most Senior Tesla Machine Learning Engineer job openings:

AI / Machine Learning Engineer
Piscataway, NJ
Full-time
Posted 27 days ago
Job description
Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer vision solutions that drive innovation in identity, security, automation, and digital trust.
The ideal candidate will have strong experience developing production-grade machine learning models, working across the full ML lifecycle-from data preparation and model development to deployment and optimization across cloud and mobile environments.
Key Responsibilities:- Design and develop AI/ML models for computer vision, image classification, object detection, OCR, and feature extraction.
- Build real-time image quality assessment, data processing, and intelligent capture solutions.
- Develop and maintain data pipelines for data collection, labeling, cleaning, and augmentation.
- Optimize ML models for cloud and mobile/on-device inference.
- Implement fraud detection, anomaly detection, and security-focused AI capabilities.
- Integrate ML models into production APIs and software platforms.
- Monitor model performance and continuously improve accuracy and scalability.
- Collaborate with engineering, product, and business teams to deliver AI-driven solutions.
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field (or equivalent experience).
- 3+ years of experience building and deploying machine learning models in production environments.
- Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar.
- Experience with computer vision libraries (OpenCV) and OCR technologies.
- Strong understanding of deep learning architectures for image and text recognition.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Strong problem-solving skills and ability to thrive in a fast-paced environment.
- Experience with model optimization and quantization for mobile deployment.
- Knowledge of synthetic data generation and data augmentation techniques.
- Background in fraud detection, anomaly detection, security, or identity technologies.
- Familiarity with data privacy and compliance standards.
- Experience contributing to open-source projects or AI research.
- Build next-generation AI capabilities with real-world enterprise impact.
- Work on innovative computer vision and machine learning challenges.
- Partner with talented engineering teams to move AI solutions from research to production.
- Drive improvements in accuracy, performance, and scalability.
Benefits
For any questions (OR) to apply, please contact us at careers@apogeeglobalrms.com.