Description
We believe small businesses are at the heart of our communities, and championing them is worth fighting for. We empower small business owners to manage their finances fearlessly, by offering the simplest, all-in-one financial management solution they can't live without.
About the role
As a Senior Machine Learning Engineer at Wave, you will help shape the future of our AI capabilities by combining traditional machine learning with cutting-edge Generative AI technologies. You’ll be responsible for developing, scaling, and maintaining production-grade ML models while applying innovative GenAI approaches to solve customer and business challenges. This role offers an opportunity to work with a modern, cloud-native data and AI stack, where traditional ML systems and emerging GenAI solutions coexist to deliver secure, reliable, and scalable AI services at Wave, in close collaboration with cross-functional teams.
Here’s How You Make an Impact:
Collaborative AI Development: Collaborate with product and technical teams to develop and deploy both traditional ML models and GenAI systems, leveraging their complementary strengths and pooling your expertise to address Wave’s business objectives.
MLOps Automation and Scalability: Drive the automation and scalability of Wave’s MLOps stack, supporting the scaling of production-ready ML models. Leverage SageMaker Feature Store and our data lake for model training, ensuring efficient deployment and continuous improvement for both batch and real-time inference.
GenAI Solutions: Design and build GenAI proofs-of-concept (PoCs), evaluating and deploying those that meet performance and business impact criteria into production. Leverage AWS cloud services, including SageMaker, Bedrock, and Amazon Q to develop GenAI applications that solve complex problems for Wave’s customers and internal teams using techniques like retrieval-augmented generation (RAG) and agentic design patterns.
Unified API Development: Contribute to the development of a unified API to provide secure, scalable, and reliable access to AI models, empowering cross-functional teams to integrate AI into their products and services.
Model Reliability, Compliance, and Risk Mitigation: Monitor the reliability of all deployed models, enhancing their observability and explainability to meet ethical and regulatory standards. Identify and mitigate risks associated with AI systems, including concerns about bias, performance, and economics, while upholding responsible AI principles and security standards.
Mentorship and Best Practices: Mentor other engineers, sharing best practices for model development, deployment, and monitoring in both traditional ML and GenAI contexts.
Succeeding at Wave:
At Wave, you will have the opportunity to continuously learn and grow by exploring cutting-edge ML frameworks, developing innovative GenAI projects, as well as mentoring and guiding peers. Whether you are working remotely or collaborating in our downtown Toronto innovation hub, you will have the freedom to define your path to success. At Wave, we value diverse perspectives, and we encourage open, respectful feedback to foster an inclusive environment where innovation thrives and every team member can grow.
You Thrive Here By Possessing the Following:
- 5+ years of experience in building and deploying production-grade machine learning systems.
- Strong Python and SQL skills, with familiarity in containerization tools like Docker, and an understanding of secure model access via APIs.
- Familiarity with AWS cloud services, including SageMaker, Amazon Bedrock, and Amazon Q.
- Experience automating MLOps pipelines and deploying models for both batch and real-time inference.
- Hands-on expertise in developing GenAI proofs-of-concept and taking them through to production, as well as experience scaling traditional ML models for production at scale.
- A solid understanding of AI explainability, including experience with model interpretability techniques, observability, and monitoring to ensure performance and reliability.
- Familiarity with applying FinOps concepts to optimize cloud resources, reduce costs, and ensure the efficient scaling of AI models.
- An appreciation for both the opportunities and challenges associated with Generative AI, including the ability to identify risks, manage ethical considerations, and maintain a balanced approach to applying new technologies.
- A collaborative mindset, with strong communication skills and a passion for mentoring and growing the capabilities of the ML team.
Nice to Haves:
- Experience with parameter-efficient fine-tuning techniques, such as Low-Rank Adaptation (LoRA).
- Understanding of modern deep learning architectures, including transformers and Mamba.
- Experience publishing or presenting at leading conferences, including NeurIPS, ICML, ICLR, AAAI, or ACL.
At Wave, you’re treated like the incredible human being you are.
Work From Where You Work Best: We will always have a welcoming, energizing, and world-class office (in Toronto) with a space for you. Or, if you’re more comfortable working from home, the choice is yours.
We Care About Future You: You will stretch yourself and you will grow at Wave. You will also be supported on this journey with diverse learning experiences, educational allowances, mentorship, and so much more.
We Support the Full You: We make a serious investment in your health & wellness. When we think about benefits we think about body, mind, & soul and we take this stuff very seriously.
We Take Care of the Fundamentals: Fair compensation, all the office perks you’d want, and the various goodies you’d expect from a growing tech company. This is the obvious stuff, but we don’t want you to think we forgot!
We believe that a diverse and inclusive culture creates the best workplace. We embrace our differences, value individuality, and the broad spectrum of every Waver's skills and abilities. We challenge each other from a place of respect and pursuit of continuous growth. We trust each other and encourage everyone to bring their authentic selves to work, everyday. As Wavers, our voices matter, our opinions are met with an open mind. The best ideas win, no matter whose they are. Contributing to an inclusive culture is a part of all of our job descriptions.
We’ve been continuously recognized as one of Canada's Top Ten Most Admired Corporate Cultures and one of Canada’s Great Places to Work in categories including Technology, Millennials, Mental Health, Inclusion and Women.
Are you ready to be a Waver? Join us!
Wave
Accounting
Apps
Bookkeeping and Payroll
Cloud Computing
Financial Services
FinTech
Human Resources
Payments
Small and Medium Businesses
Software
0 applies
2 views
Other Jobs from Wave
Director, Platform Engineering
Remote
Toronto, Ontario
Senior Manager, Engineering
Toronto, Ontario
Remote Hybrid
Software Engineer, Front End
Remote
Toronto, Ontario
Program and Project Manager - Product (Contract)
Remote
Canada
Senior Manager, AI & Data Platform
Remote
Toronto, Ontario
Similar Jobs
Machine Learning Engineer
Sydney, Australia
Data Engineer, Manufacturing
Hungary
Sr Engineer Data
Bengaluru, India
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 401 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- Salaries for the engineering jobs on our site range from $100K-$200K. On average, senior engineer positions on our EchoJobs are about $160K.
- The EchoJobs positions have been sourced and vetted from the top companies to work for in the US as a software engineer, including LinkedIn and other reputable job sites. We also have syndicated jobs from companies that have just raised funding, as well as those that have great unique products and culture. From all of these sources, our founder, Morgan, has also resourced the company's authenticity in terms of their website, public appearance, and more.
- Yes, our users asked us for just this, so now our search filters allow you to search for your top jobs via location, as well as by onsite, remote, or both. Approximately 30% of our jobs are remote, so you’ve got the best options for you!
- We have not yet implemented this option, but are considering doing so in the future. For the moment, you would need to cancel your subscription, and resubscribe when you wanted to come back.
- We add new jobs to EchoJobs every day! We scan our sources for the newest jobs, verify them, and post them to EchoJobs within minutes. We add about 2,000-3,000 new jobs for you each day!
- From starting your job search to getting hired, the entire job search process can take us software engineers anywhere between 3-6 months. However, at EchoJobs, we’re striving to shorten this duration by finding the best, newest jobs for you, so you can do less job searching, and more applying.
- We’d recommend checking EchoJobs daily, as we add new jobs to the site each day. Additionally, if you got a chance to read our previous email on “what makes EchoJobs different from any other job search tools,” we also recommended that you set a job alert based on your job filters, so if you get emails on those new jobs, you could be checking more than once per day.
- If you decide to continue with us after the 1-month trial, we definitely recommend this, as we all know it usually takes 3-6 months to find a quality job as a software engineer these days. So to best support you, we just adjusted our membership options at EchoJobs to monthly, 3 months, or 12 months (this option is more for passive job seekers looking a little bit for the future if they want to come back to work or make a job switch potentially. This lets you see what’s out there in case an even better fit job becomes available.)
- EchoJobs is truly the only job site of its kind. We want to be THE spot for you to find the best job for you, and haven’t encountered any other company doing this. Other job sites are in niches besides software engineering or focus on a small portion of engineering jobs (like a specific coding language). In the words of Morgan, our founder, “I think what makes EchoJobs different is the amount of jobs, frequency that we add new jobs (we add 2,000-3,000 new jobs daily!), and the powerful search engines to find exactly the job you want more easily and efficiently. We can provide you with the most jobs that are vetted by us, we’ll continually find more new jobs for you, and we make it easier for you to apply and get hired.
What Fellow Engineers Say