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Assistant Amazon Cpt Jobs (NOW HIRING)

Toyota

Senior Software Engineer - DevOps

Plano, TX · On-site

$124K - $159K/yr

... OPT, F-1 CPT, TN, (job flexibility benefits) (also known as I-140 or Adjustment of Status ... You should not apply for this role if you will require Toyota to assist with immigration support or ...

KPMG

Senior Associate, Cloud Engineer - Terraform

Atlanta, GA · On-site

$53.50 - $71.75/hr

Responsibilities : * Assist clients; cloud migration engagements, including cloud migration ... Technology experience, including IaaS/PaaS (Azure or Amazon Web Service), infrastructure automation ...

KPMG

Manager, Cloud Engineer - Terraform

Atlanta, GA · On-site

$53.50 - $71.75/hr

Responsibilities : * Assist clients; cloud migration engagements, including cloud migration ... Technology experience, including IaaS/PaaS (Azure or Amazon Web Service), infrastructure automation ...

Toyota

Technical Manager

Plano, TX

... OPT, F-1 CPT, TN, 'job flexibility benefits' (also known as I-140 or Adjustment of Status ... You should not apply for this role if you will require Toyota to assist with immigration support or ...

Toyota

Site Reliability Engineer - Platforms

Plano, TX · On-site

$54.50 - $72.50/hr

... 1 CPT, TN, 'job flexibility benefits' (also known as I-140 or Adjustment of Status portability ... You should not apply for this role if you will require Toyota to assist with immigration support or ...

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How much do assistant amazon cpt jobs pay per year?

As of Jul 2, 2026, the average yearly pay for assistant amazon cpt in the United States is $48,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $48,500.00 per year, depending on experience, location, and employer.
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Assistant Amazon Cpt jobs near you

Senior / Staff Machine Learning Engineer - Scene Intelligence

Zoox

Boston, MA

$189K - $290K/yr

Other

Medical, Life, PTO

Posted 4 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 advanced Vision-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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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