At a Glance
- Tasks: Design and develop cutting-edge AI/ML models and systems for real-world applications.
- Company: Join Tractable, a global leader in AI with a diverse and collaborative culture.
- Benefits: Competitive salary, flexible work options, and opportunities for continuous learning.
- Other info: Dynamic team environment with excellent career growth and innovation opportunities.
- Why this job: Make a real impact on lives through innovative AI solutions in the automotive industry.
- Qualifications: Master's or PhD in Computer Science or related field, with strong ML experience.
The predicted salary is between 60000 - 80000 £ per year.
About Tractable
Tractable is an Artificial Intelligence company that applies AI to visual assessment, bringing speed and insight to the process. Utilizing millions of data points, their AI‑powered solutions integrate all parties involved in insurance, repairs, and sales of homes and cars. Founded in 2014, Tractable is a global employer of choice, with a diverse team comprising over 40 nationalities. They foster a culture of collaboration, transparency, autonomy, and continuous learning.
Research @ Tractable
The Research team at Tractable develops the technical foundations for all Tractable products, currently focusing on auto insurance and natural disaster recovery. Their mission is to leverage the latest ML research to solve challenging science problems and create mission‑critical AI systems for computer vision, impacting hundreds of thousands of lives.
Auto Organization – Who We Are & What We Do
The Auto Organization builds products for the automotive industry, including Estimating and Review products sold globally. Their long‑term vision is to create a platform ecosystem for effortless new product development and use cases. The current mission is to build a reliable and safe “virtual” motor appraiser/expert service by developing high‑quality input capture mechanisms, a state‑of‑the‑art damage assessment stack for auto damage, and explainable, human‑centric decision‑making engines. They collaborate closely with engineering teams to bring R&D prototypes to production.
What You Will Do
As an Applied Scientist, you will contribute to the design, development, and improvement of AI/ML models and systems. Your responsibilities will include:
- Work with applied scientists, data scientists, software engineers, and product partners to design and deliver AI/ML solutions in production at scale.
- Design and develop AI/ML models, workflows, and end‑to‑end pipelines for data preparation, training, deployment, monitoring, etc., ensuring the quality of architecture and design of ML models and systems.
- Deliver customer‑facing and/or underlying AI/ML solutions that empower the platform to provide the best experience for customers.
Basic Qualifications
What you need to be successful:
- Master's in Computer Science, Machine Learning, or related quantitative field. A PhD in Computer Science or related fields with a focus on Machine Learning is a strong plus.
- Extensive knowledge and practical experience in several of the following areas: machine vision (classical methods and deep learning) and information retrieval. Natural language processing is a plus.
- Demonstrated experience in building scalable AI/ML models and systems and delivering end‑to‑end solutions in a production environment.
- Computer vision experience.
- Experience programming in Python, C++, or related languages.
Preferred Qualifications
- Publications at top‑tier peer‑reviewed conferences or journals or a proven track record of industry innovation in creating novel solutions and advancing the state of the art.
- Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.).
- Experience with end‑to‑end software development and life cycle of machine learning solutions.
- Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization.
Staff Applied Scientist in London employer: Tractable
Tractable is an exceptional employer that champions a culture of collaboration, transparency, and continuous learning, making it an ideal place for an Applied Scientist to thrive. With a diverse team from over 40 nationalities, employees benefit from a supportive environment that encourages innovation and professional growth, while working on impactful AI solutions that enhance the lives of many. Located in a vibrant tech hub, Tractable offers unique opportunities to engage with cutting-edge technology and contribute to meaningful projects in the automotive industry.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Applied Scientist in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to AI and machine learning. You never know who might have a lead on your dream job at Tractable!
✨Show Off Your Skills
Create a portfolio showcasing your projects and contributions in AI/ML. Whether it's GitHub repos or case studies, let your work speak for itself. This is your chance to shine and show how you can contribute to Tractable's mission!
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice explaining your thought process clearly, as communication is key. Remember, they want to see how you think, not just the final answer!
✨Apply Through Our Website
Don't forget to apply directly through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Tractable team!
We think you need these skills to ace Staff Applied Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Staff Applied Scientist. Highlight your experience with AI/ML models, especially in computer vision and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 background makes you a great fit for Tractable. Don’t forget to mention any specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills:When filling out your application, be sure to highlight your programming skills in Python, C++, or any other relevant languages. Mention your experience with machine learning libraries like TensorFlow or PyTorch, as these are key to the role.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Tractable
✨Know Your Stuff
Make sure you brush up on your knowledge of AI/ML models and systems, especially in computer vision. Be ready to discuss your past projects and how they relate to the role at Tractable. They’ll want to see that you can apply your expertise to real-world problems.
✨Showcase Collaboration Skills
Tractable values collaboration, so be prepared to talk about how you've worked with cross-functional teams in the past. Share specific examples where you’ve partnered with engineers or product managers to deliver successful AI/ML solutions.
✨Prepare for Technical Questions
Expect some technical questions related to machine learning frameworks like TensorFlow or PyTorch. Brush up on your coding skills in Python or C++, as you might be asked to solve a problem on the spot. Practice explaining your thought process clearly.
✨Communicate Clearly
Since communication is key, practice explaining complex concepts in simple terms. You might need to convey your ideas to non-technical stakeholders, so being able to articulate your thoughts clearly will set you apart from other candidates.
