Senior AI Research Scientist - Axon - Brussels, Belgium
AI Research Scientist
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Job Description
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.
Company Information
| Location | Active listings |
|---|---|
| Remote - Global | 5 |
| Finland | 4 |
| Tampere, Finland | 4 |
| Hybrid - Tampere, Finland | 1 |
| Remote - Finland | 1 |
| Role type | Active listings |
|---|---|
| Research Scientist | 3 |
| Full Stack Developer | 2 |
| Research Engineer | 1 |
| Researcher | 1 |
| Robotics Software Engineer | 1 |
| Engineer | 1 |
| AI Research Scientist | 1 |
| Full Stack Member of Technical Staff | 1 |
| Software Engineer | 1 |
| Category Manager | 1 |
| Quality Engineer | 1 |
| Role level | Active listings |
|---|---|
| Senior | 6 |
| Mid-Level | 5 |
| Mid-level | 1 |
Axon appears in 15 indexed job postings in JobCrawls' Finland dataset since April 2024. In that historical index, the strongest location signals for this employer are Remote - Global, Finland, and Tampere, Finland.
Data shown is based on historical job postings from our database.
Job Details
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.
Requirements
- 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.
Benefits & Perks
Benefits
