Please submit your resume in English.

To learn more about our team and office culture in Cape Town, South Africa visit the following links. 
Careers Page: https://www.knowbe4.com/careers/locations/cape-town
Glassdoor: https://www.glassdoor.com/Location/KnowBe4-Cape-Town-Location-EI_IE969384.0,7_IL.8,17_IC2653748.htm
LinkedIn: https://www.linkedin.com/company/knowbe4/life/southafrica/

We are looking for a Machine Learning Engineer to help scale the industrialization of our ML lifecycle. This is a Builder’s Role - you will be responsible for the high-scale architecture that allows our models to survive production. You’ll be a key contributor to our MLOps ecosystem, moving beyond experimentation to build high-throughput, distributed systems that serve as the backbone of our intelligence products.

Machine Learning Engineers help us extract value from our data. They are involved in all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. This position will assess, analyze, and organize data, execute tests, and optimize the learning process to develop high-performance machine learning models.

Responsibilities:

• Develops software using the KnowBe4 Software Development Lifecycle and Agile Methodologies
• Designs, develops, and researches Machine Learning systems
• Transforms data science prototypes by applying appropriate Machine Learning algorithms and tools
• Performs statistical analysis and using results to improve models
• Inference Engineering: Drive the deployment and optimization of both standard predictive models and LLM architectures, balancing trade-offs between low latency, high throughput, and cost-efficiency
• Platform Hardening: Transition research prototypes into resilient, production-ready microservices that can handle massive traffic
• Lifecycle Orchestration: Execute automated pipelines for data and model versioning, validation, and retraining
• Observability: Implement advanced monitoring for model drift, data integrity, and system health to ensure production reliability
• Collaborative Standards: Uphold clean code practices, thorough documentation, and participate in rigorous code reviews across the ML and Engineering teams

Requirements:

• BS or equivalent plus 3 years experience
• MS/Ph.D. or equivalent plus no experience
• Training in secure coding practices (preferred)
• AI/ML and Core: Python (production-grade), PyTorch
• Data and Features: Apache Spark for distributed processing; experience with Feature Stores or automated feature engineering is a plus
• Infrastructure: AWS (SageMaker, Lambda), Docker, and Terraform/IaC for environment reproducibility
• Specialized Tooling: Experience with custom inference optimization (Python-based); orchestration via lean, custom AWS and Python-based solutions using Lambda and MLflow
•  Additional: C# and JavaScript (beneficial)
• Familiarity with secure coding practices

The Reality Check:

While the title says pure ML, the day-to-day is data heavy and is also focused on the AI and ML Platform Engineering around our services. Expect a roughly 90/10 split - the vast majority of your impact will come from hardening data pipelines, refining CI/CD for ML, and building world-class observability, with the remaining portion dedicated to model building, implementation and tuning.

About us:

We believe the next generation of financial services will be powered by stablecoins.

Founded in 2021, our mission at BVNK is to accelerate global money movement.

We’re building stablecoin-native infrastructure so businesses can move value instantly across borders and networks. With global licenses and T1 bank partnerships, we facilitate billions in transactions for enterprise clients like Worldpay, Deel, LianLian Global, and Rapyd.

Our technology is transforming how businesses operate globally by eliminating payment delays, reducing costs, and unlocking trapped capital. 

We’re a diverse team spread across EMEA, North America, and APAC, with a shared belief that stablecoins are the new infrastructure layer for financial services, and that BVNK is at the forefront of this shift.

In 2025, we secured strategic investment from Visa, following our $50 million Series B with Haun Ventures, Coinbase Ventures, Scribble Ventures, DRW Venture Capital, Avenir, and Tiger Global. With the backing of these leading investors, we’re accelerating our growth – and we're looking for smart, ambitious people to help us build the future of financial services.

We're incredibly honored to have made Newsweek's list of The Top 100 Global Most Loved Workplaces three years running (most recently in 2025) and to have been recognised by LinkedIn as one of the Top 20 Startups in the UK in 2024

About this role in the team:

We are looking for a QA Engineer who views AI as their primary leverage. At BVNK, we aren't just looking for someone to maintain scripts; we want an engineer who views manual, repetitive testing as a problem to be solved with intelligent agents.

You will join a team of Quality Assurance experts responsible for the end-to-end integrity of our Fiat and Crypto products. Your mission is to evolve our testing from "automated" to "autonomous." You will build intelligent testing systems that predict failures, self-heal scripts, and utilize LLMs to bridge the gap between complex financial requirements and bulletproof code.

Key Areas of Responsibilities:

• AI-First Framework Evolution: Architect and maintain automation frameworks that prioritize AI-powered solutions for test generation, execution, and self-healing.
• Autonomous Quality Gates: Implement AI-driven gates in our CI/CD pipeline to predict regression risks before code is even merged.
• Synthetic Data Strategy: Leverage Generative AI to create complex, high-integrity test data sets for diverse global payment scenarios.
• Intelligent Observability: Use AI to analyze logs and system behavior, providing insights that traditional testing tools miss.
• Mentorship & AI Evangelism: Act as the subject matter expert on emerging AI tools (Claude Code, LangChain) to upskill the broader QA team.

What we need from you:

• AI-Native Mindset: You are an early adopter of LLMs and agentic workflows. You don't just use AI to write snippets; you use it to architect solutions.
• Technical Core: Expert-level proficiency in Python (our primary language) and the ability to navigate Java environments.
• Modern Tooling: Hands-on experience with PyTest, Playwright, and K6.
• Engineering for AI: Demonstrated experience implementing AI solutions for test case generation and automated bug triaging.
• Infrastructure Fluency: Familiarity with CI/CD concepts and desire to understand the integration of AI-driven testing into the deployment lifecycle.
• Precision & Speed: Exceptional attention to detail with the ability to move fast in a rapidly evolving FinTech environment.
• Bonus: LLM Integration: Experience building custom GPTs or using LangChain/LangSmith/LangGraf to evaluate LLM-based product features.
• Bonus: FinTech & Crypto: Previous experience in payments, stablecoins, or blockchain technology.
• Bonus: Agentic Testing: Experience experimenting with autonomous agents for exploratory testing.

What you can expect from us:

• Fair and competitive salary at every stage of your growth
• Meaningful ownership in the business through our employee option scheme
• Flexible working hours, with hybrid working at its heart
• A culture built on passionate growth-minded people
• A flexible approach to holiday
• Opportunities to travel to our offices around the world
• An open and creative environment where you can help us define the future of BVNK, its culture, and its opportunity sets

At BVNK, we are focused on building a diverse and inclusive team. While you may not meet all of our requirements, we’d encourage you to apply if you meet the majority of our expectations. You may be a great fit for this role or another role in our team. 

About impact.com

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results.

Your Role at impact.com:

Reporting to the Manager of Customer Operations Systems, the Internal Systems Engineer (Applied AI) is a specialized, high-impact builder role dedicated to supercharging our Customer Operations teams (Support, Success, Onboarding, Implementation).

This is a highly practical, application-focused engineering position instrumental to our AI transformation. You will spend your time across three types of work:

1. Building AI-powered tools and agents. You will integrate applied AI into our workflows using modern frameworks. You will consult with business stakeholders to help explain the art of the possible, guide them in defining logic and prompts, and own building and maintaining agentic workflows and tools. Example projects include building an AI-powered QA and training tool with a RAG component for new support agents, architecting agentic workflows for our onboarding team, or building a FreshDesk integration that suggests draft responses to tickets.
2. Building and maintaining a shared agent platform. This is what makes AI scale beyond our team. You will build and maintain the templates, approved patterns, and deployment infrastructure that enable people across Customer Operations to build their own agents without needing to figure out hosting, monitoring, or API connectivity themselves. When a Technical Services lead wants to build an agent that automates "pixel not firing" investigations, they should be able to do it on your platform without writing a deployment script. You own making self-serve actually work.
3. Building robust internal software, integrations, and automations - such as developing custom FreshDesk widgets to support our agents. You will own the full lifecycle of these apps: building, hosting, monitoring, maintaining, and eventually retiring them when they're no longer needed.

Many job descriptions define themselves as "critical" or "pivotal." This role genuinely is. impact.com has thousands of clients, millions of partners, endless data, and complex multi-system processes. As a business, we are ensuring we are on the cutting edge - aggressively automating and scaling up what we do with AI. This role owns a substantial portion of that transformation for a critical part of our business.

A note on how you'll work with others: when someone across Customer Operations builds a pilot that proves value, you don't take it over. You partner with them to elevate it - bringing engineering rigor, production infrastructure, and scale while they maintain creative control and ongoing input. When someone has a great idea but isn't technical enough to build it themselves, your first instinct is to build it with them, growing their skills in the process. You're an accelerator, not a bottleneck.

This role is for the person who embodies the overlap of curiosity, process-obsession, and action orientation. It is for the passionate tinkerer who also gets carried away exploring custom Salesforce structures and data flows. It is for the person who has been building agentic workflows to manage their household tasks in their free time because they can't stop playing with the new tools AI offers.

If you are that person - if you are a highly motivated, thoughtful builder - and you want to leverage applied AI on a daily basis, this is the role for you.

What You'll Do:

• Software Development Foundation: Proven experience building, hosting, and maintaining applications and tools. You are comfortable writing clean, functional code (Python, JavaScript/TypeScript, etc.) to solve operational problems. You understand what it means to keep something running in production, not just get it working once.
• API & Integration Expertise: Deep experience working with REST APIs. You can easily build connectors between distinct SaaS platforms to automate data flows and trigger actions.
• Applied AI Engineering: Hands-on experience with LLM orchestration frameworks (like LangChain or LangGraph). You understand MCPs, RAG pipelines, agentic workflows, DAG vs linear flows, engineering HITL systems, and have built real-world systems using these rails.
• AI Evaluation & Quality: Experience setting up and running evals for LLM outputs. You know how to build systems that grade, evaluate, and test AI responses for accuracy and safety (e.g., LLM-as-a-judge). You understand CI/CD for AI systems and can build regression testing pipelines.
• Platform Thinking: You don't just build one-off tools - you think about how to make your work reusable. You can design templates, abstractions, and deployment patterns that other people (including non-engineers) can use to build on top of what you've created.
• Systems Thinking & Process Orientation: You don't write code in a vacuum; you map out complex operational workflows before you start building. You have a knack for seeing how different tools, teams, and data flows interact, ensuring your solutions address the actual problem without creating downstream issues.
• Cross-Functional Collaboration: Ability to work closely with non-technical business stakeholders. You can take a process flow and prompt designs from a business leader and turn them into a functioning, hosted application. Equally important: you can teach - walking a non-technical person through building their first agent is as valuable as building it yourself.
• Autonomous Builder: You are a self-starter who thrives in an agile environment. You don't need excessive hand-holding to figure out how to host a script or deploy a small internal app.
• Relentless Tinkerer: You were the first person in your current role to start building agents. You have had personal subscriptions to Claude, Gemini, ChatGPT, Cursor, etc.

What You Bring:

• Experience building custom apps or integrations specifically for Freshdesk (or similar enterprise ticketing systems like Zendesk/Jira).
• Background working in or building tools for Customer Support, Customer Success, or Onboarding teams.
• Experience integrating with knowledge base platforms (like Gitbook or similar documentation sites).
• Proven experience taking automation projects from concept to deployment within a large, complex organization.
• Experience building internal platforms or developer tools that other teams use to self-serve.
• Experience with monitoring and observability for AI systems in production.

Benefits and Perks:

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

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