At a Glance
- Tasks: Join Axon to innovate in AI for safety and justice.
- Company: Axon, a leader in tech for law enforcement and community safety.
- Benefits: Competitive salary, flexible work, wellness support, and learning opportunities.
- Other info: Collaborative culture with strong mentorship and career growth potential.
- Why this job: Make a real impact with cutting-edge AI technologies in a meaningful mission.
- Qualifications: PhD in Computer Science with extensive experience in AI and machine learning.
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. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Senior AI Research Scientist in London 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 meaningful teamwork and mentorship, alongside competitive benefits such as discretionary paid time off, comprehensive health plans, and robust learning and development opportunities. Join us in our mission to protect life and make a real impact in the field of AI research, while enjoying a culture that values diversity, equity, and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Research Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Axon on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the AI team. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of LLMs, MLLMs, and Computer Vision. Be ready to discuss your past projects and how they relate to Axon's mission. Show them you’re not just a fit for the role, but also for the company culture.
✨Tip Number 3
Don’t forget to showcase your passion for the mission! Axon is all about protecting life and making a difference. Share why you’re excited about using AI for social good and how your skills can contribute to that vision.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Axon team. Let’s get you in there!
We think you need these skills to ace Senior AI Research Scientist in London
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 trends in LLMs, MLLMs, and Computer Vision. Be ready to discuss your past projects and how they relate to Axon's mission. Show them you’re not just familiar with the tech but also passionate about it!
✨Showcase Your Leadership Skills
As a Senior AI Research Scientist, you'll be expected to guide junior scientists. Prepare examples of how you've mentored others or led projects in the past. This will demonstrate your ability to take ownership and drive change.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, think of instances where you successfully collaborated with engineers or other scientists. Highlight your communication skills and how you can bridge the gap between technical and non-technical audiences.
✨Prepare for Technical Questions
Expect deep dives into your technical expertise, especially around model optimisation and algorithm performance. Brush up on your programming languages and frameworks, and be ready to solve problems on the spot. Practice explaining complex concepts clearly and concisely.