Senior AI Research Scientist

Senior AI Research Scientist

Full-Time 80000 - 100000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join our AI team to innovate in machine learning and computer vision for safety solutions.
  • Company: Axon, a mission-driven tech company focused on protecting life.
  • Benefits: Competitive salary, flexible work, wellness support, and professional development opportunities.
  • Other info: Collaborative culture with strong mentorship and career growth potential.
  • Why this job: Make a real impact in law enforcement technology while growing your skills.
  • Qualifications: PhD with extensive experience in machine learning and computer vision.

The predicted salary is between 80000 - 100000 € per year.

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.

Location

Any cities with Axon Engineering Hub in US, Vietnam, EU. EU locations include Tampere, Finland; London, UK; Brussels, Belgium.

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 forces 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, +10 years for Principal 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

  • Competitive salary and 401k with employer match.
  • Discretionary paid time off.
  • Paid parental leave for all.
  • Medical, Dental, Vision plans.
  • Fitness Programs.
  • Emotional & Mental Wellness support.
  • Learning & Development programs.
  • Snacks in our offices.

Location Details

This role is based out of our London, UK office and follows a hybrid schedule. We rely on in‑person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in‑office culture is designed to support meaningful teamwork and mentorship.

Equal Opportunity Employment

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.

Senior AI Research Scientist employer: Shpehouston

At Axon, we are dedicated to creating a collaborative and innovative work environment where every employee can thrive. Our London office offers a hybrid work model that fosters teamwork and mentorship, alongside competitive benefits such as discretionary paid time off, comprehensive health plans, and robust learning opportunities. Join us in our mission to protect life and make a meaningful impact in the field of AI and public safety.

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Contact Detail:

Shpehouston Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Research Scientist

Tip Number 1

Network like a pro! Reach out to current or former employees at Axon on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by diving deep into Axon's mission and values. Show them you’re not just about the tech; you care about making a difference in safety and justice too!

Tip Number 3

Practice your technical skills with mock interviews. Get a mate to throw some tough questions your way, especially around LLMs and Computer Vision. Confidence is key!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.

We think you need these skills to ace Senior AI Research Scientist

Machine Learning
Large Language Models (LLMs)
Multimodal Large Language Models (MLLMs)
Computer Vision
Generative AI (GenAI)
Python
C/C++

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the role of Senior AI Research Scientist. Highlight your experience with LLMs, MLLMs, and Computer Vision, and don’t forget to showcase any relevant publications or projects that demonstrate your expertise.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your skills align with Axon’s mission to Protect Life. Be genuine and let your personality come through!

Showcase Your Problem-Solving Skills:In your application, emphasise your problem-solving abilities. Share specific examples of challenges you've tackled in your previous roles, especially those related to AI and machine learning. This will show us you can think critically and innovate.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Shpehouston

Know Your Stuff

Make sure you brush up on the latest advancements in LLMs, MLLMs, and Computer Vision. Be ready to discuss your previous research and how it relates to Axon's mission. They’ll want to see that you’re not just knowledgeable but also passionate about the field.

Showcase Your Collaboration Skills

Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve led or mentored junior scientists, as this will demonstrate your leadership potential.

Prepare for Technical Questions

Expect deep technical questions related to AI models and algorithms. Brush up on your programming skills in Python and C/C++, and be ready to discuss your experience with frameworks like TensorFlow or PyTorch. Practising coding problems can also help you feel more confident.

Communicate Clearly

You’ll need to explain complex concepts to both technical and non-technical audiences. Practice articulating your ideas clearly and concisely. Consider preparing a few key points about your past projects that you can easily explain to someone unfamiliar with the technical details.