At a Glance
- Tasks: Design and implement cutting-edge AI frameworks to solve complex problems.
- Company: Join Charles River Analytics, a leader in innovative AI solutions.
- Benefits: Competitive salary, 100% employer-paid health insurance, and generous paid time off.
- Other info: Flexible hybrid work schedule and strong focus on work-life balance.
- Why this job: Make a real impact on national security with next-gen AI technology.
- Qualifications: Bachelor's degree in computer science and 3+ years of AI/ML experience.
The predicted salary is between 60000 - 80000 £ per year.
Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world’s most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace.
We are seeking an Applied Scientist passionate about building next-generation neuro-symbolic AI. In this role, you will be not just applying AI technology but helping to build the next-generation version of that technology. You will be extending the cutting edge of deep learning and machine learning technologies, with novel integration with technologies including symbolic knowledge, probabilistic programming and Bayesian reasoning, automatic program synthesis, combinatoric optimization, and more. You will be collaborating with researchers, engineers, and subject-matter experts to build core technologies and deployable AI solutions solving complex problems with high impact on national security and society.
How you will make a difference:
- Design, architect and implement state-of-the-art AI frameworks and solutions
- Debug, profile, and refine complex AI systems
- Collaborate with and/or manage software engineers and scientists
- Lead or contribute to writing reports and papers
- Foster relationships with customers
- Develop and manage highly innovative R&D programs
What you need:
- Bachelor’s degree in computer science or related field
- U.S. Citizenship with the ability to obtain a security clearance
- 3+ years experience building ML/AI systems or a completed graduate degree (M.S. or PhD) with academic research experience in ML/AI systems
- Moderate to advanced proficiency in Python
- Good fundamental knowledge in probability, multivariable calculus, linear algebra, and related technical areas
- Familiarity with Linux systems and development
- Motivated to learn and apply new technologies
- Ability to accommodate a hybrid schedule (60% onsite 40% remote)
Our preferred candidate has:
- 5+ years of post graduate experience building AI/ML systems
- Experience with product deployment
- Experience as a writer or co-writer to DoD proposals/grants
- Demonstrated effectiveness in delivering complex AI / ML solutions to end-users from concept to deployment
- Demonstrated effectiveness in strategically developing complex AI codebases over months-to-years
- Broad knowledge across a diversity of computer science research, including programming languages, knowledge representation, reasoning, optimization, robotics, computer vision, etc. a plus
Salary Range: $120,000 - $220,000
The above salary range is an estimate based on the internal job level(s) for which this role is being considered. The final salary will be decided after careful evaluation of the individual's work experience, education, and overall qualifications. This range does not include the substantial total rewards, as listed below, that you will also be eligible for as an employee at Charles River Analytics.
Why Charles River? Charles River Analytics thrives on collaboration and values each team member. We offer competitive compensation plus bonus and retirement contribution, with an attractive benefits package including 100% employer-paid medical and dental insurance, as well as vision, life, and disability insurance, paid maternity/paternity leave, tuition reimbursement, monthly gym allowance, free parking, generous paid time off, and a casual environment. We offer tremendous flexibility and value work-life balance. We are also accessible by public transportation.
Applied Scientist, AI & Deep Learning (mid to senior level) in Cambridge employer: Charles River Analytics
Charles River Analytics is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Applied Scientists passionate about AI and deep learning. With a strong emphasis on employee well-being, we offer competitive compensation, comprehensive benefits including 100% employer-paid medical and dental insurance, and generous paid time off, all while promoting work-life balance and flexibility. Our commitment to employee growth is evident through opportunities for professional development and the chance to work on mission-critical projects that have a significant impact on national security and society.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist, AI & Deep Learning (mid to senior level) in Cambridge
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Charles River Analytics.
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We think you need these skills to ace Applied Scientist, AI & Deep Learning (mid to senior level) in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Charles River Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Charles River Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Charles River Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Charles River Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
