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(Senior) Research Scientist

Оценка ИИ

Исключительная вакансия для ученых в области ИИ: работа над социально значимой миссией, сильный социальный пакет (акции, страховки, бонусы) и возможность заниматься передовыми исследованиями в международной компании.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием ученой степени (PhD), глубокой экспертизы в LLM/MLLM и наличия публикаций в топовых научных изданиях. Также требуется опыт оптимизации моделей под ограниченные аппаратные ресурсы.

Анализ зарплаты

Медиана75 000 $
Рынок55 000 $ – 110 000 $
Оценка ИИ

Зарплата в вакансии не указана, но для позиций уровня Senior Research Scientist в Хошимине рыночные показатели значительно выше средних по стране из-за дефицита кадров такой квалификации. Axon обычно предлагает конкурентоспособные пакеты, включающие RSU (акции компании).

Сопроводительное письмо

I am writing to express my strong interest in the (Senior) Research Scientist position at Axon. With a PhD in Computer Science and extensive experience in developing Large Language Models and Computer Vision systems, I am deeply impressed by Axon's mission to Protect Life through innovative technology. My background in optimizing MLLMs for resource-constrained devices and my track record of publications in top-tier AI conferences align perfectly with the technical leadership requirements of your AI team in Ho Chi Minh City.

Throughout my career, I have successfully led research initiatives that bridge the gap between theoretical R&D and production-ready features. I am particularly excited about the opportunity to apply GenAI and multimodal reasoning to real-world safety challenges. I am confident that my expertise in PyTorch, ROS, and end-to-end ML pipelines, combined with my passion for mentoring junior scientists, will allow me to make a significant contribution to Axon’s ecosystem of devices and cloud software.

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Откликнитесь в axon уже сейчас

Присоединяйтесь к Axon, чтобы создавать ИИ-решения, спасающие жизни, и определять будущее общественной безопасности.

Описание вакансии

Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do

Work Location:This role is based out of our Ho Chi Minh City office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Responsibilities

  • Own one or more key technical areas across LLM, MLLM, CV product portfolio.
  • Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
  • Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
  • Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
  • Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
  • Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
  • Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
  • Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
  • Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
  • Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
  • Experience coach and mentor junior scientists.

What You Bring

  • PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
  • Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
  • Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
  • Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
  • Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
  • Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
  • Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
  • Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
  • Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

  • Medical, Dental and Vision Insurance
  • Robust Paid Time Off policy
  • Bonuses
  • Lunch allowance
  • Cell phone stipend
  • Free LinkedIn Learning account or Udemy account
  • Access to 24/7 online emotional and mental support
  • Gym membership
  • Free parking
  • Stocked fridges and pantries - free coffee, cold beverages, snacks
  • Annual Company Outing Trip
  • Monthly team social activities

Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Important Notes

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Phishing alert:  Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process.  All legitimate job openings are listed on our official careers page at https://www.axon.com/careers.  If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.

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Навыки

  • C++
  • Python
  • ROS
  • PyTorch
  • LLM
  • Computer Vision
  • TensorFlow
  • Generative AI
  • Object Detection
  • Natural Language Processing
  • Segmentation
  • Keras
  • Natural Language Understanding

Возможные вопросы на собеседовании

Проверка глубины знаний в основной специализации вакансии.

Расскажите о вашем опыте разработки и обучения мультимодальных больших языковых моделей (MLLM). С какими основными трудностями вы столкнулись при объединении текстовых и визуальных данных?

Вакансия предполагает работу с носимыми устройствами и робототехникой.

Какие методы оптимизации нейросетей (квантование, дистилляция, прунинг) вы использовали для запуска моделей на устройствах с ограниченными ресурсами (Edge AI)?

Оценка навыков интеграции ИИ в физические системы.

Опишите ваш опыт работы с ROS (Robot Operating System). Как вы интегрировали алгоритмы компьютерного зрения в контур управления роботом?

Проверка научной активности и вклада в сообщество.

Какую из ваших последних публикаций вы считаете наиболее значимой и как её результаты могут быть применены в продуктах Axon для обеспечения общественной безопасности?

Оценка лидерских качеств для Senior-позиции.

Как вы подходите к менторству младших исследователей и как обеспечиваете переход от чисто исследовательского концепта к работающей функции продукта?

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