Machine Learning Engineer, Sr.
Description
- Leads complex model development projects to introduce advanced machine learning techniques and algorithms, ensuring integration with production systems. Lead problem-solving efforts across projects.
- Architects and optimises data infrastructure to support scalable machine learning applications.
- Drives strategic decisions in project and product meetings, ensuring alignment of machine learning goals with business objectives.
- Spearheads initiatives, piloting and integrating new technologies into the business workflow.
- Drives innovation through advanced research projects, leading to patentable technology and publications.
- Mentor team members in machine learning and advanced troubleshooting techniques to ensure that best practices are followed.
- Executes end-to-end machine learning model development from ideation to deployment. Optimises model performance and scalability.
- Builds, deploys, monitors, and continuously optimises ML models and developing automated ML models’ training and inference pipelines.
- Develops training and cross-validation data sets for machine learning algorithms.
- Translates product management, engineering and business contraints and queries into tractable data science questions.
- Designs and maintains robust data pipelines for real-time data processing and analysis.
- Leads the troubleshooting of complex data challenges.
- Develops frameworks and tools to improve model performance and insights.
- Performs other related duties and projects as business needs require at direction of management.
- Bachelor’s degree in Computing Science, Data Science, Machine Learning, Applied Mathematics, Statistics, or related field; or any equivalent education and/or experience from which comparable knowledge, skills and abilities have been demonstrated/achieved. Master’s degree preferred.
- Minimum seven (7) years of experience in Machine Learning.
- Certification in Machine Learning libraries such Tensorflow, PyTorch, Scikit-learn, NumPy, and Pandas preferred.
ABOUT US
ORB Innovations is a London-based startup making waves in the world of contact and combat sports. With a passion for innovation, ORB makes Smart Mouthguards that protect athletes teeth AND track their fitness, performance and wellness, providing valuable data to help them train smarter and push further... What's a Smart Mouthguard? Imagine a Fitbit, in a mouthguard!
ORB's products are the first and only of their kind, from heart-pumping beats to head-turning impacts, we've got these athletes covered with a wearable that's tailored to their sport.
Founded in 2017, ORB has spent over 5 years tirelessly working to bring this groundbreaking technology to market. Now, as ORB expands its team, join us in bringing the future of sports technology to athletes everywhere.
THE INTERVIEW PROCESS
Our process involves three stages:
- Resume Review & Short List.
- Initial Call (Depending on the role, a take home task may also be requested).
- Final Interview.
Our average process takes approximately 2-3 weeks, but we always work around your availability.
You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during your application, please contact us at [email protected].
WHAT'S IN IT FOR YOU
We're a hardware enabled sports analytics startup with an expanding passionate team, collaborating and creating extraordinary physical & digital products that have the potential to make a significant difference to our customers lives. If you love sports and technology, this is where the two meet!
There are loads of ways we help ORB-ians do the best work. We often review and enhance our benefits, but here's a brief overview of what we offer right now. If you'd like more information on any of them, just ask!
You can see a full list of employee benefits at https://orbsport.com/pages/careers.
EQUAL OPPORTUNITY STATEMENT
We are actively creating an equitable environment for every ORB-ian to thrive.
One of our priorities is to promote diversity and inclusion, ensuring that we provide ample support for all our employees to grow within the company. Embracing diversity in all its forms and fostering an inclusive environment are essential to our ethos.
As an equal opportunity employer, we consider all applicants for employment without any bias based on ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity status, or disability status.