Machine Learning Internship
Cantab Research Ltd, United Kingdom
Job Description
Location: This role can be based in the Cambridge, UK office or remotely, with occasional travel to the office expected.
Reporting to: Senior ML Engineer
Role type: This is a full time (37.5 hours per week), paid internship lasting approx. 3 months.
Contact:
About Speechmatics
As a recognized pioneer and market leader in machine learning voice engineering, Speechmatics enables companies to build applications that detect and transcribe voice in any context in real-time. Our neural networks apply the latest research in representation learning to deliver state of the art acoustic and language models, which underpin our Speech-to-text products. Check out our happy customers here.
Speechmatics is a rapidly growing, global company with offices in Cambridge, UK, Denver, USA, Chennai, India and Brno, Czech Republic. With ambitious growth plans comes great opportunities that are exciting and progressive. You will be working with some of the smartest minds in the industry, working on cutting-edge projects and deploying the latest techniques to disrupt the market.
If this is a mission you want to contribute to in a passionate way, then we want to hear from you.
About the Job
The Speechmatics Applied Machine Learning (AML) team conducts research and development work for novel machine learning based products and features in the Speechmatics portfolio, as well as helping to push them all the way into the hands of our customers. In this internship, you’ll be joining the team in taking the latest developments in the field of machine learning, rapidly prototyping them and then iterating on them to turn them into novel products that solve problems for our customers. These new products and features are not necessarily limited to pure speech recognition applications, though they are often somewhat related.
Alongside technical Ramp;D work, the AML team is also tasked with increasing the profile of the company in the wider ML field and as such there may be opportunities, for example, to write up our research as papers and blogs.
Because you will be joining a rapidly expanding team, you will need to be a team player who thrives in a fast-paced environment, in a company with a focus on rapidly moving research developments into products. We strongly encourage versatility and knowledge transfer within and across teams. You will be expected to learn fast and feel emboldened to ask for support as you need it.
No prior experience of speech recognition is necessary. Speechmatics has a team of speech recognition engineers who will collaborate on all directly speech recognition related projects and teach you any specialised knowledge required. If you are enthusiastic about machine learning with the drive to deliver the best possible technology solutions, then we want to hear from you!
Our internships are not time constrained to specific dates we can work out mutually agreeable start and end dates as part of the application process.
Requirements
Minimum Qualifications
- Team player
- Irrepressible enthusiasm for machine learning from theory through to application
- Technical understanding of the latest developments in machine learning
- Able to communicate technical ideas to a variety of audiences
- Ability to rapidly turn ideas into working prototypes
- Competent in Python and Linux
- Have or be studying towards a degree in machine learning / computer science or related field
Desirable Qualifications
- Commercial experience of machine learning
- Software development experience
- Evidence (e.g. GitHub repo) of a personal machine learning project or implementation of a machine learning paper you found interesting
Benefits
Salary
We have a salary band in mind for each role, however we are candidate-led, so we want to ensure we attract the very best talent and remain flexible. We also offer comprehensive benefits.
Interview Process
The interview process for each role does vary, but usually, we would start off by asking you to complete a Further Information Form, so that we can be clear on your expectations from the start and get to know you a little better. Then we ask you to have a quick chat with the Hiring Manager to establish suitability and for you to ask us any questions before we progress the application by sending you role specific tests/tasks (if applicable). If this goes well, you will be asked to attend (either remotely or onsite if you are able) more technical interviews before we arrange a ‘meet the team’ session.
Please do let us know as soon as possible how we can best accommodate you and make any reasonable adjust