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Amazon Cpt Jobs (NOW HIRING)

archwellhealth

IT - Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Experience with healthcare reference data (ICD, CPT etc.) * Experience with agile delivery ... Experience managing and working in cloud environments such as Amazon Web Services or Azure

Norstella

RWD Delivery Architect

Amazon S3 for cloud storage and data lake management * Amazon Redshift for data warehousing ... ICD/CPT codes and healthcare reporting requirements * Healthcare compliance and regulatory ...

Cloudzenix

Teradata Training And Placement

Toledo, OH

We specialize in Technical Recruitment and Placement of CPT/OPT/H1/H4/L2/GC/CITIZEN/TN in contract ... Big Data Amazon Web Services (AWS) Devops Dot Net Developer JAVA Developer QA, Mobile Testing, ETL ...

SynergisticIT

Junior Software Engineer

Rapid City, SD

... CPT/H4EAD/L2EAD/GC/PR looking for full-time long-term positions at a good pay. Candidates who want ... PayPal Amazon, etc. (Top 500 Fortune Clients) Required Qualifications: BS/MS/AS in CS/IT/CE or ...

Cloudzenix

Teradata Training And Placement

Toledo, OH · On-site

We specialize in Technical Recruitment and Placement of CPT/OPT/H1/H4/L2/GC/CITIZEN/TN in contract ... Data Amazon Web Services (AWS) Devops Dot Net Developer JAVA Developer QA, Mobile Testing, ETL ...

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How much do amazon cpt jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for amazon cpt in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is an Amazon CPT job?

An Amazon CPT (Centralized Process Trainer) job involves training and supporting employees in Amazon fulfillment centers. CPTs help ensure new and existing employees understand job processes, safety protocols, and performance expectations. They conduct hands-on training, provide feedback, and assist with process improvements. This role requires strong communication skills and the ability to support teams in a fast-paced warehouse environment.

What are the typical working hours and team structure for an Amazon CPT position?

Amazon CPT roles typically involve shift work, which may include early morning, evening, overnight, or weekend hours depending on the facility’s operational needs and peak seasons. As a CPT, you will generally work as part of a larger warehouse team, collaborating closely with other processing technicians, supervisors, and fulfillment associates to ensure seamless inventory handling and order accuracy. Teamwork, flexibility with scheduling, and clear communication are important, as you may rotate between various workstations or tasks throughout your shift. This dynamic structure provides valuable experience in logistics and supply chain operations, offering opportunities for advancement into leadership or specialized roles within Amazon’s extensive fulfillment network.

What are the key skills and qualifications needed to thrive in the Amazon Cpt position, and why are they important?

To thrive as an Amazon CPT (Central Processing Technician), you generally need a solid understanding of warehouse operations, inventory management, and basic computer skills, often supported by a high school diploma or equivalent. Familiarity with Amazon’s internal inventory and order management systems, handheld scanners, and safety protocols is vital. Attention to detail, strong organizational abilities, and effective communication skills help individuals excel in this fast-paced environment. These competencies are crucial for maintaining accuracy and efficiency in processing, tracking, and shipping inventory to meet Amazon’s high operational standards.

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Amazon Cpt jobs near you

Senior Machine Learning Engineer - Scene Intelligence

Zoox

Boston, MA • On-site

$189K - $290K/yr

Full-time

Medical, Life, PTO

Posted 10 days ago

Job description

The Perception team at Zoox creates the "eyes and ears" of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects-all in real-time and with exceptional accuracy.
As an engineer in the Scene Understanding team, you will develop advancedVision-Language-Action (VLA) models that perceive our vehicle's surroundings to identify hazards and make driving suggestions. You will utilize VLA models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions.
In this role, you will...
  • Design and train Vision-Language-Action (VLA) solutions for robotaxis
    • >
  • Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel
    • >
  • Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.
    • >
  • Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior
    • >
  • Partner with cross-functional teams to integrate perception signals
    • >

Qualifications
  • MS or PhD in Computer Science or related field
    • >
  • Background in deep learning solutions for VLM and VLA models
    • >
  • Track record in post-training large-scale models, CPT, SFT, RL
    • >
  • Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics
    • >
  • Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM)
    • >

Bonus Qualifications
  • Deep knowledge of cutting-edge computer vision techniques
    • >
  • Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)
    • >
  • Experience with integrating large language models to various tasks.
    • >

$189,000 - $290,000 a year
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Follow us on LinkedIn
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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.

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