Research Engineer - Team Lead
Cape Town
Engineering (All Teams) – Engineering /
Permanent /
Hybrid
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.
Join us to be a part of the AI revolution!
JOB DESCRIPTION
In the Engineering Team, Research Engineers (REs) solve real-world problems with cutting-edge AI. Solutions developed by Research Engineers typically involve advanced Machine Learning, Deep Learning, Reinforcement Learning or a mix of these technologies with Operation Research and/or Evolutionary approaches.
REs' responsibility is to understand the business problems, identify and develop the right AI or cognitive computing technologies to solve them, and take part in the commercial deployment of their solution. REs intervene at every stage of the life of a project. REs provide technical expertise and scope projects during pre-sales, drive research and development for Proof of Concepts (POC), develop Minimum Viable Products (MVPs), and ensure continuous improvement and maintenance for industrialized solutions.
Among the tasks a RE is responsible for, it is important to mention: developing prototype applications, providing software design and programming support, implementing software libraries, supporting the business development, managing projects and project teams.
As Team Lead, one of your missions will be to handle the human side of Machine Learning product/solution development by providing coaching and mentoring to a small team of engineers.
In this role, at InstaDeep you will report to a senior Team Leader from the Engineering department. This role may require overseas travel.
ROLE RESPONSIBILITIES/ACCOUNTABILITIES
- Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies.
- Apply knowledge of relevant research domains along with expert coding skills to develop industrial solutions (POC, MVP, fully deployed solution) and products (platforms and frameworks).
- Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
- Report and present development work clearly and efficiently, both internally and externally (clients, different audiences, etc.), both verbally and in writing.
- Actively collaborate with BD team in the pre sales activities, including but not limited to presenting the company to new prospective clients, writing decks and proposals, participating in calls and meetings, and representing Instadeep in conferences / events.
- Collaborate with the Research team to drive high-impact innovation by tackling previously unsolved problems with AI.
- Contribute to recruit, manage, and coach a high performing engineering team
- Follow and report to the Engineering department management about the performance of teams and projects
- Supervise the delivery of identified client projects
- Lead the development of Machine Learning-based software, ensuring the execution and successful delivery of high-quality solutions for products and/or client projects
- Organise code reviews to drive best practices and maximise productivity of team members
REQUIREMENTS:
- Postgraduate degree in Computer Science, Mathematics or a related scientific field.
- 5+ years of experience in commercial software development
- Experience in developing and debugging production-level Python. Knowledge of C/C++, GoLang and other languages is a strong plus.
- Experience using deep learning frameworks such as PyTorch, Tensorflow and/or Keras.
- Research and software engineering experience demonstrated via previous work experience, internships, contributions to open source projects, or coding competitions.
- Proficiency with Git workflow, development with best coding practices.
- Experience in deploying software to production using Docker and Kubernetes.
- Proven track-records of recruiting, developing, coaching engineering teams in small-medium business
- Experience with storage systems, distributed systems, HPC, compilers, and/or CUDA programming.
Our commitment to our people
We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.
Right to work: Please note that you will require the legal right to work in the location you are applying for.
