--- title: 'Machine Learning Engineer at Wave HQ' canonical: 'https://feeny.ai/job/machine-learning-engineer-wave-hq-canada-q0sgjznr4bqb' type: 'job' last_seen: '2026-09-08' --- # Machine Learning Engineer at Wave HQ - **Company:** Wave HQ - **Location:** Canada - **Compensation:** $100k–$120k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-12 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/waveapps/a16580aa-7947-4d7b-babd-83ee6f922f0c ## Job description At Wave, we help small businesses to thrive so the heart of our communities beats stronger.  We work in an environment buzzing with creative energy and inspiration. No matter where you are or how you get the job done, you have what you need to be successful and connected. The mark of true success at Wave is the ability to be bold, learn quickly and share your knowledge generously. As a Machine Learning Engineer, you will be a key contributor to the design, development, and deployment of our foundational AI and ML models. You will build robust, scalable machine learning pipelines and platforms that support advanced analytics and business intelligence. This role is perfect for an experienced person who wants to ensure our ML systems are efficient, reliable, and deeply integrated into our organizational goals. Here's How You Make an Impact: - Develop & Deploy: Focus on the hands-on building, training, and operational deployment of machine learning models, ensuring they perform reliably within existing production environments. - Champion Technical Standards: Advocate for top-tier practices across coding, testing, and MLOps processes. Navigate ambiguity autonomously to refine pipelines and elevate ML engineering workflows. - Optimize & Scale: Construct resilient, cost-efficient ML & AI use cases. Balance sustaining established models with accelerating the rollout of highly scalable, modern systems. - Partner & Collaborate: Team up with cross-functional stakeholders, including risk specialists, product leads, and software developers, to convert strategic needs into technical specs and smoothly embed ML features into live applications. - Establish Controls & Governance: Uphold stringent benchmarks for model dependability, fairness, and compliance. Direct the integration of lineage tracking and data protection workflows into our automated systems. - Track & Evaluate: Formulate comprehensive observability systems to capture model health and key operational metrics, ensuring machine learning investments yield quantifiable organizational value. You Thrive Here By Possessing the Following: - Experience: Minimum of 3–5 years of professional experience in machine learning engineering, with a proven track record of deploying models into production environments. - Technical Depth: Deep understanding of the modern data stack, including data ingestion workflows and experience working with curated data warehouses like Databricks or Redshift. - Cloud Proficiency: At least 3 years of hands-on experience with AWS infrastructure, specifically SageMaker, Spark/AWS Glue, and Infrastructure as Code (IaC), Terraform. - Orchestration Expert: High proficiency in managing multi-stage workflows using Airflow or similar orchestration systems to automate training and deployment cycles. - MLOps Toolkit: Practical experience with MLflow, Kubeflow, or SageMaker Feature Store to support the end-to-end machine learning lifecycle. - Governance Mindset: Familiarity with model governance practices (lineage, fairness, and privacy) and experience using data cataloging tools for compliance. - Communication: Strong ability to communicate complex technical concepts to non-technical stakeholders and influence project direction. - Industry Context: Experience in FinTech or Financial Risk environments is a significant advantage. At Wave, we value diversity of perspective. Your unique experience enriches our organization. We welcome applicants from all backgrounds. Let’s talk about how you can thrive here! Wave is committed to providing an inclusive and accessible candidate experience. If you require accommodations during the recruitment process, please let us know by emailing careers@waveapps.com. We will work with you to meet your needs. We use Google Gemini, a secure AI assistant, during interviews for note-taking purposes only. Notes are kept confidential and are not shared outside the hiring process. This allows our interviewers to stay fully focused on you during the conversation. This advertised posting is a current vacancy. ## About Wave HQ ## Company Overview - **One-liner**: Wave HQ provides simple, all-in-one financial software—accounting, invoicing, payments, and payroll—for small businesses and solopreneurs. - **Entity Type**: Private (backed by H&R Block; raised multiple funding rounds including a Series A) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2010 - **Founders**: Not publicly available ## Core Business - **Primary industry**: Financial technology (FinTech) / Small business software - **Target customers**: B2B – small business owners, freelancers, and solopreneurs in the U.S. and Canada - **Mission/purpose statement**: “To help our customers and teams reach their goals with confidence and ease. Simply put, our purpose is to help you find your thrive.” ## Products & Services - **Wave Accounting**: Online bookkeeping software to track income/expenses, manage cash flow, and generate financial reports (SaaS). - **Wave Invoicing**: Create and send professional invoices and estimates, with customizable templates (SaaS). - **Wave Payments**: Secure online payment processing via credit card, bank transfer, or Apple Pay (integrated service). - **Wave Payroll**: Reliable payroll management for employees and contractors, handling tax compliance (SaaS). - **Wave Mobile App**: On‑the‑go companion for iOS and Android to manage invoices and payments (mobile app). - **Wave Pro Plan**: Premium tier unlocking additional features for advanced money management (subscription). ## Market Standing - **Valuation**: Not disclosed (parent company is H&R Block, Inc.) - **Key metric**: Annual revenue of **$78.2M** (LinkedIn estimate). Total funding of **~$22.3M** across multiple rounds (Series A, Venture, Seed). - **Notable investors/partners**: H&R Block (parent company); earlier investors from Series A, Venture, and Seed rounds (names not specified in search results). - **Growth signals**: - Serves **5.9 million small business owners** in the U.S. and Canada. - Processed **$21 billion in online payments and payroll** since 2012. - Sends **22.5 million invoices** and processes **1.5 billion accounting transactions** annually. - Active job postings increased **+28.6% YoY** (9 open roles as of latest data). - Key strategic hires in machine learning and growth marketing. ## Competitive Advantages - **Purpose‑built for non‑accountants**: Simple, user‑friendly interface designed for small business owners, not professional accountants. - **All‑in‑one platform**: Integrated accounting, invoicing, payments, and payroll in a single system, reducing tool switching. - **Strong security posture**: PCI‑DSS Level 1 Service Provider; 256‑bit SSL encryption for all connections. - **Free starter plan**: Low barrier to entry with a free tier, encouraging adoption and upsell to Pro Plan. - **Established brand trust**: 15+ years in market, backed by H&R Block, and trusted by millions of small businesses. ## Strategic Focus - **Artificial Intelligence & Machine Learning**: Hiring Machine Learning Engineers to enhance product intelligence (e.g., automation, insights). - **Growth Marketing**: Investing in product lifecycle marketing, organic growth, and web experience to drive customer acquisition and retention. - **Payroll & Payments expansion**: Continuing to deepen payroll and payment capabilities as high‑value add‑ons. - **Mobile experience**: Improving the mobile app to serve on‑the‑go small business owners. ## Why Work Here - **Flexible work model**: Remote‑first culture with “freedom to be flexible” – employees can define their ideal working style. Offices in Toronto, with distributed team across Canada, U.S., South Africa, and Bahamas. - **Competitive benefits**: 100% covered health benefits, Flex Fund for wellness and healthcare spending, and remote work support. - **Inclusive culture**: Employee‑led Thrive Networks to advance equity and community. Values include genuine, humble, inclusive, and compassionate. - **Growth opportunities**: Emphasis on continuous learning, sharing knowledge, and “challenge yourself, grow from the learnings”. - **Impactful mission**: Work directly helps underserved small business owners achieve financial confidence. ## Sources 1. [waveapps.com](https://www.waveapps.com/) – Product details, mission, and security info. 2. [waveapps.com/about-us/culture](https://www.waveapps.com/about-us/culture) – Culture page (flexibility, benefits, values). 3. [waveapps.com/about-us/about](https://www.waveapps.com/about-us/about) – Company stats, purpose, and backers. 4. [linkedin.com/company/wave-hq](https://linkedin.com/company/wave-hq) – Workforce data, revenue, funding, tech stack, and employee trends. 5. [jobs.lever.co/waveapps](https://jobs.lever.co/waveapps) – Current job openings and career info. ## Other roles at Wave HQ - [Senior Marketing Automation Specialist](https://feeny.ai/job/senior-marketing-automation-specialist-wave-hq-canada-cybxwj3eag85) — Canada - [Group Product Manager - Core Services](https://feeny.ai/job/group-product-manager-core-services-wave-hq-toronto-7k9211wcp6px) — Toronto, Canada - [Accounting Associate](https://feeny.ai/job/accounting-associate-wave-hq-toronto-c6h6wnf5dzk3) — Toronto, Canada - [Senior Product Manager, Risk Operations](https://feeny.ai/job/senior-product-manager-risk-operations-wave-hq-canada-8z3ndy27vkce) — Canada - [Product Designer](https://feeny.ai/job/product-designer-wave-hq-canada-ptsj1pgkx28m) — Canada - [Senior Manager, Product Lifecycle Marketing](https://feeny.ai/job/senior-manager-product-lifecycle-marketing-wave-hq-toronto-2zv6azta26q4) — Toronto, Canada - [Director of Growth Marketing](https://feeny.ai/job/director-of-growth-marketing-wave-hq-toronto-7dfqd0c850av) — Toronto, Canada - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-wynd-labs-remote-whe42v314npy) - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-blissway-inc-denver-x6g0dsrp5q6v) — Denver, CO - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-blissway-inc-denver-gy2xqv8xdt4a) — Denver, CO