Loopio is a workplace that unleashes learning & growth opportunities for our Loopers. We provide autonomous, challenging work that allows each employee to master their craft. We attract and retain people who are naturally curious, have grit and are eager to grow and build their careers. At Loopio, we genuinely support each other, because true success comes from working as #oneteam.
In the Machine Learning (ML) team at Loopio, ML Engineers and Data Scientists work together on a mission to transform the RFP response process into a rapid and seamless experience. Our team works across all platform portfolio features and delivers innovative solutions where it matters the most for our customers. Some of the initiatives that you will be working on will include automated language detection, intelligent project import, and search improvements based on Natural Language Processing and GenAI.
We are looking for an experienced ML engineer to build and support the delivery of machine learning-driven features for our platform. Our perfect candidate has deep technical skills and is comfortable working in evolving technology infrastructure. This is a unique opportunity to join a growing team of creative and passionate individuals committed to solving real world problems with modern AI practices.
You will partner closely with Product Managers, Architects and Data Scientists to use Machine Learning techniques to help us take Loopio’s user value to the next level.
What You'll Be Doing
- Working closely with Product Managers, Architects and Data Scientists to design, build, maintain and optimize our data management and machine learning applications
- Develop software to deliver and integrate machine learning product capabilities into our platform through REST services
- Keep up with the latest ML Technologies and advancements and find ways to incorporate them into our existing solutions where applicable
- Build data processing pipelines supporting data analysis and machine learning tasks, and automate data pipelines in production
- Perform code reviews and add automated testing to ensure software quality is high
- Collaborating with some of the brightest minds in the field and leveraging state of the art technologies in Python, ML/DL/NLP and cloud on a daily basis
What You'll Bring to the Team
- Experience in a high growth agile software development environment
- Experience developing machine learning-driven applications
- Interest and have done work in statistical modeling and machine learning
- A good understanding of ETL, data warehousing, data modeling and data architecting
- The knowledge to work with data scientists and translate proof of concept models into production strength systems
- Development skills in Python, relational databases such as MySQL or PostgreSQL, NoSQL databases, e.g, Redis or Cassandra, data processing frameworks such as Spark (DataBricks), or Presto (AWS Athena), and deep learning frameworks such as TensorFlow / Pytorch, Kinesis and Lambda
- The ability to take projects on from early concept to a finalized production solution
- Experience with microservice architectures
- Strong test automation skills (unit and functional)
BONUS QUALIFICATIONS
- Experience with container orchestration (leveraging tools like Docker, Kubernetes)
- Experience with MLOps and CI/CD for ML enabled applications
- Experience with Natural Language Processing techniques
Where You'll Work
- Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We have Hub Regions spanning across Canada, UK, and India, which means that employees live and work remotely within a 300 KM radius of Toronto (within Ontario),Vancouver (within British Columbia), Ahmedabad (within Gujarat), Pune (within Maharashtra), and London (UK) and work within regular business hours in their timezone.
- You’ll collaborate with your teams virtually (we’re just a Zoom call away!) and have established core sync hours and focus time during the workday to enable us to work smarter together
Why You'll Love Working at Loopio
- Your manager supports your development by providing ongoing feedback and regular 1-on-1s
- You have tons of autonomy and responsibility: this role provides an opportunity to try new things and push creative boundaries
- You’ll learn more than you thought was possible; our team is obsessed with personal and professional growth (every Looper receives a professional mastery allowance each year)
- You’ll be set up to work remotely with a MacBook laptop, a monthly phone and internet allowance, and a work-from-home budget to help get your home office all set up!
- Join us in regular company socials, AMA (Ask-Me-Anything), and quarterly kick-off to celebrate the big wins and milestones as #oneteam!
- You’ll be joining a culture that has thoughtfully built out opportunities for connections in a remote first environment.
- We have Employee Resource Groups, various fun virtual activities, and many more moments for us to have fun and learn together!
- You’ll be a part of an award-winning workplace and one of Canada’s fastest growing companies with ample opportunity to make a big impact here!
We recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups.
Whether or not your experience checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table.
Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team ([email protected]) should you require accommodations at any point during our virtual interview processes.
