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- Tasks: Join a dynamic team to develop cutting-edge computer vision models for satellite data analysis.
- Company: Bullisher is a fintech innovator in aerospace and defence, transforming a $3 trillion industry.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Why this job: Be part of a mission-driven team pushing the boundaries of technology and space exploration.
- Qualifications: PhD in relevant fields and expertise in deep learning libraries like Tensorflow and PyTorch required.
- Other info: Rigorous interview process ensures you join a top-tier team focused on innovation.
The predicted salary is between 43200 - 72000 £ per year.
Bullisher is a data-centric fintech solution provider in the aerospace and defense industry for institutional level investors, looking to disrupt and revolutionize a $3 trillion dollar industry. We spearhead an industry-leading Blackbox to facilitate and administer trade agreements, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility.
A team of seven, the oversight is permitted by THE MISSION INTELLIGENCE DIVISION to provide leading effort for a COMPUTER VISION TEAM. This team enables delivering data quality to a unique model bias, scaling generative COMPUTER VISION models to predict potential impacts of real-time events. By peering with traditional protocols, analyzing PASSIVE AND ACTIVE REMOTE SENSING DATA, and taking actions that will provide deep insights into general practices for decision making, we share an overview of the limitations in conformity to the JOINT ALL-DOMAIN AND ELECTROMAGNETIC SPECTRUM OPERATIONS APPROACH.
Areas to cover will include peering with traditional protocols, orbiting the Earth (two observations of a given spot of the earth every day), satellite imagery high calibration, standardized processing pipelines derived from passive remote sensing, and infrared sensor data collection. We aim to develop a novel approach to assemble the data identifying key management zones to feed into the neural network and associated data structures to train the models.
ENVIRONMENT: This position will operate in the following areas of the organization: [ROCKET FUEL] MISSION INTELLIGENCE DIVISION. Innovation, powering speed and space exploration in science systems.
QUALIFICATIONS, KEY REQUIREMENTS AND SKILLSET:
- Extensive experience in software and data engineering toolsets and best practices is essential.
- Proficient with Deep Learning libraries and algorithms: Tensorflow & PyTorch.
- Superior ability to build and execute Deep Learning neural networks to interpret and understand imagery and identify patterns.
- A relevant degree, preferably at the PhD level, in Remote Sensing, Computer Vision, Computer Engineering, Computer Science, or a relevant field.
- Offensive Security Certified Professional (OSCP), Certified Information Security Manager (CISM) are essential.
- Certified Authorization Professional (CAP)
- Certified Network Defender (CND)
- Information Systems Security Architecture Professional (ISSAP)
- It is prerequisite to be certified in one of the listed DoD 8570 Certifications.
INTERVIEW PROCESS:
- STAGE 1: COGNITIVE ABILITY TEST
- STAGE 2: COGNITIVE ASSESSMENT SCREENING WITH A 30+ YEARS EXPERIENCE PSYCHOLOGIST
- STAGE 3: PRE-SCREENING (verification checks & DV security clearance)
- STAGE 4: INTERVIEW WITH THE CEO, CTO & GC
Contact Detail:
Gentrian Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land REMOTE SENSING-(SATELLITE VISION ENGINEERING)- ENGINEERS: AEROSPACE AND DEFENSE
✨Tip Number 1
Familiarise yourself with the latest advancements in remote sensing and computer vision technologies. Being able to discuss recent developments or breakthroughs during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Prepare to showcase your experience with Deep Learning libraries like TensorFlow and PyTorch. Consider creating a portfolio of projects that highlight your ability to build and execute neural networks, as practical examples can significantly strengthen your candidacy.
✨Tip Number 3
Understand the specific requirements for the DoD 8570 Certifications mentioned in the job description. If you already hold any of these certifications, be ready to discuss how they relate to your work and how they can benefit the team.
✨Tip Number 4
Research the company’s mission and values, especially their focus on innovation in aerospace and defence. Tailoring your responses to align with their goals during the interview can show that you are not only qualified but also a good cultural fit.
We think you need these skills to ace REMOTE SENSING-(SATELLITE VISION ENGINEERING)- ENGINEERS: AEROSPACE AND DEFENSE
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software and data engineering, particularly with Deep Learning libraries like Tensorflow and PyTorch. Emphasise any relevant projects or research that align with remote sensing and computer vision.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the job description. Mention your qualifications, such as your PhD or certifications, and explain how your skills can contribute to the mission of the Computer Vision Team at Bullisher.
Showcase Relevant Experience: In your application, provide examples of your work with neural networks and imagery analysis. Discuss any previous roles where you dealt with remote sensing data or developed innovative solutions in aerospace and defence.
Prepare for the Interview Process: Familiarise yourself with the interview stages outlined in the job description. Be ready to discuss your cognitive abilities and past experiences in detail, especially those related to the requirements of the role.
How to prepare for a job interview at Gentrian
✨Brush Up on Technical Skills
Make sure to review your knowledge of Deep Learning libraries like TensorFlow and PyTorch. Be prepared to discuss how you've used these tools in past projects, especially in relation to computer vision and remote sensing.
✨Understand the Company’s Mission
Familiarise yourself with Bullisher's goals and the aerospace and defence industry. Knowing their mission to disrupt a $3 trillion industry will help you align your answers with their vision during the interview.
✨Prepare for Cognitive Assessments
Since the interview process includes cognitive ability tests, practice similar assessments beforehand. This will help you feel more comfortable and confident when it comes time to take them.
✨Showcase Your Certifications
Highlight your relevant certifications, such as OSCP or CISM, during the interview. Discuss how these qualifications have equipped you with the skills necessary to excel in the role and contribute to the team.
