Software Engineering Manager About Schema App Schema App is a fast-growing, profitable SaaS company ... Champion quality practices: testing, observability, CI/CD, and blameless learning from incidents.
Software Engineering Manager About Schema App Schema App is a fast-growing, profitable SaaS company ... Champion quality practices: testing, observability, CI/CD, and blameless learning from incidents.
Salary: $170-200k DOE Software Engineering Manager About Schema App Schema App is a fast-growing ... Champion quality practices: testing, observability, CI/CD, and blameless learning from incidents.
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Salary: $170-200k DOE Software Engineering Manager About Schema App Schema App is a fast-growing ... Champion quality practices: testing, observability, CI/CD, and blameless learning from incidents.
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 ... These include frontend and backend engineers, AI research scientists, and others from Amazon ...
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Machine Learning Software Engineer Intern information
What does a Machine Learning Software Engineer Intern do?
A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.
What are the key skills and qualifications needed to thrive as a Machine Learning Software Engineer Intern, and why are they important?
To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.
What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?
As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.
What cities near Waterloo, ON are hiring for Machine Learning Software Engineer Intern jobs? Cities near Waterloo, ON with the most Machine Learning Software Engineer Intern job openings:
Full-time
Medical, Life, PTO
Re-posted 21 days ago
Job description
Software Engineering Manager
About Schema App
Schema App is a fast-growing, profitable SaaS company headquartered in Guelph, Ontario, with a team across Canada. We're a collaborative group driven by a shared mission: to become a global leader in enterprise marketing technology and help organizations future-proof for the age of AI.
We work with some of the world's recognized enterprises-including SAP, Wells Fargo, and Henry Ford Health-to give them control over how their brand is understood and represented by AI across search and digital experiences.
At our core, we believe that in the age of AI, a brand is only as strong as the data behind it and the connections within it. As search evolves into AI-driven and agent-led experiences, that foundation matters. We build the infrastructure enterprises need to control how they show up in AI today and compete in the agentic web tomorrow-driving growth, protecting the brand, and leading the next generation of digital experiences.
Web: www.schemaapp.com LinkedIn: Schema App
The role
We're looking for a Software Engineering Manager to lead a high-performing engineering team and partner with the CTO and Product on predictable, high-quality delivery. You'll balance hands-on technical guidance with people leadership-unblocking the team, raising the bar on how we build, and growing engineers through clear expectations and coaching.
Because Schema App serves large, regulated enterprises, you'll also help ensure security and compliance are part of how we ship, not a separate lane, and you'll steward internal IT support (MSP) and access practices so the team can move fast safely.
What you'll do
Team leadership & delivery
- Lead engineers day to day: clear priorities, coaching, feedback, and performance conversations aligned with Schema App values.
- Own execution against the plan of record-balancing scope, capacity, and quality; surfacing risks early.
- Facilitate agile ceremonies (backlog refinement, sprint planning, retros) and partner with Product on backlog health and sprint goals.
- Support hiring and onboarding; contribute to interview loops and team growth.
Technical leadership
- Provide hands-on guidance on implementation, architecture trade-offs, and production discipline-enough to unblock and coach, without being the default implementer for everything.
- Champion quality practices: testing, observability, CI/CD, and blameless learning from incidents.
Cross-functional partnership
- Work closely with Product, Customer Success, and leadership on priorities, escalations, and realistic commitments.
- Help route customer-impacting issues clearly so engineering isn't the accidental catch-all.
Operations, security & internal systems
- Oversee MSP-managed internal support: reliable employee experience, escalation handling, and onboarding.
- Maintain SOC 2-aligned IT controls (access reviews, device compliance, incident response) with audit-ready evidence.
- Ensure secure, scalable access management and consistent onboarding/offboarding across systems.
What we're looking for
- Broad technical fluency across modern SaaS (cloud, APIs, data stores, CI/CD, observability); depth in at least one of Architecture, DevOps, Infrastructure, or Security.
- Proven people leadership: accountability, engagement, coaching, and timely talent decisions when the bar isn't met.
- Strong agile execution-continuous delivery and improvement without ceremony for its own sake.
- Comfort with enterprise context: security, compliance, and customer scrutiny as normal parts of shipping.
- Excellent communication with technical and non-technical partners; organized and proactive on operational work.
How we measure success
Metric
Intent
Cycle time
Reduce elapsed time from dev start production safely
"A" player team
Sustain 80% A-players (Topgrading-style definitions)
SOC 2 / security
Maintain control coverage and credible evidence alongside velocity
Change failure rate
Reduce production regressions and rollbacks
Test coverage
Sustain strong automated coverage as velocity grows
Core values
- Growth Mindset - continuous learning in an AI-shifted landscape
- Resourceful - high-impact outcomes with prudent use of time and tools
- One Team - cross-functional partnership; clear escalation, not politics
- Humble - seeks feedback; team wins over ego
Life @ Schema App
- Weekly 1:1s with professional development conversations
- Health & wellness benefits from day one RRSP matching
- Flex days, vacation, birthday off
- Culture Club events for our remote team
- Purpose: build meaningful connections with each other, our customers, and the data, so we are all understood
AI-based tools may assist screening; every resume is reviewed by a human on our team.
If you require accommodation during the application process, please let us know-we welcome applicants of all backgrounds.