
Stripe · Toronto
ENGINEERING MANAGER, AI CONVERSATION PLATFORM WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—f...
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the
most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission
is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented
opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing
so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the
Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving
user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an
end-to-end team going from ideas to models to shipping in production.
We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have
experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it
involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias
towards action.
ENGINEERING MANAGER, AI CONVERSATION PLATFORM WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. ABOUT THE TEAM The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. WHAT YOU’LL DO RESPONSIBILITIES * Driving an ambitious vision for AI/ML that benefits our users * Setting the technical & process direction for the team based on business goals * Brainstorm and coordinate product integrations with partner teams * Proposing new ideas and building prototypes * Be an integral part of a larger ML community internally & externally * Hire & develop a world-class team to deliver high-quality ML systems. * Coach engineers to help them grow in their careers and maintain a high bar WHO YOU ARE We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. MINIMUM REQUIREMENTS * Have at least 4 years of experience managing ML teams * Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. * Lead by example in high-growth, high-impact, ambiguous environments * Have experience building & shipping ML systems. * Hold yourself and others to a high bar when working with production systems. * Thrive in a collaborative cross-functional environment PREFERRED QUALIFICATIONS * Experience in shipping LLM & RAG systems
Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals. As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company. JOB RESPONSIBILITIES * You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals. * You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation. * You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency. * You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects. * You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation. * As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement. * You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions. * You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation. * You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing. * You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization. JOB QUALIFICATIONS TECHNICAL SKILLS * You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs. * You can design and execute cross-functional requirements based on business priorities. * You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python. * You have experience with distributed systems and scalable architectures to handle large-scale ML applications. * You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch. * You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML. * You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles. * You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc. * You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP and/or Databricks and associated ML managed services. PROFESSIONAL SKILLS * You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. * You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. * You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. * You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. * You enjoy influencing others and always advocate for technical excellence while being open to change when needed. * You are a proven leader with a track record of encouraging teammates in their professional development and relationships. * Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business. OTHER THINGS TO KNOW LEARNING & DEVELOPMENT There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. RESPONSIBLE USE OF AI IN RECRUITMENT At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment. ACCOMMODATIONS Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law. If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process. Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements. Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process. CANCELLATIONS As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change ABOUT THOUGHTWORKS Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Remote SALARY Benefits: https://www.thoughtworks.com/en-ca/careers/benefits Salary $156,000—$251,000 CAD See here our AI policy.
ARE YOU LOOKING TO THRIVE IN A STIMULATING WORK ENVIRONMENT? Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow. ABOUT THE ROLE We are seeking ML/AI Engineers to contribute to major projects. The ML / AI Engineer design, build, deploy, and operate production-grade machine learning and generative AI systems. This role owns the end-to-end ML lifecycle, ensuring models and AI services are scalable, reliable, secure, and deliver measurable business value. The role will be remote. WHY JOIN LEVIO? * Work on complex, high impact digital transformation projects * Collaborate with experienced, multidisciplinary teams * Continuously develop your technical and professional expertise * Enjoy flexibility, autonomy, and a strong people first culture * Be part of an organization that values diversity, inclusion, and innovation ROLE AND RESPONSIBILITIES * Design, implement, and productionize machine learning and generative AI models * Build training, validation, and inference pipelines for ML and LLM-based solutions * Implement feature engineering, embeddings, and model versioning best practices * Support LLM-based systems, including RAG architectures and inference optimization * Implement CI/CD for ML and LLM workflows, including automated deployment and rollback * Monitor AI systems for performance, drift, bias, and reliability in production * Optimize compute usage, latency, and operational costs across AI workloads * Ensure AI systems comply with security, privacy, and responsible-AI standards * Collaborate with AI Architects, Developers, and Data Engineers across delivery teams * Mentor junior ML/AI engineers and contribute to engineering best practices QUALIFICATIONS AND EXPERIENCE * Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field * 6+ years of experience in engineering roles, with 3+ years in AI/ML positions * Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) * Hands-on experience deploying and operating ML models in production * Experience with cloud ML platforms, especially AWS SageMaker * Strong understanding of data pipelines, model lifecycle management, and monitoring COMPENSATION (ONTARIO) The salary range provided reflects a good faith estimate based on factors such as experience, technical expertise, location, and relevant certifications. Final compensation will be determined according to the specific circumstances of each candidate. Estimated salary range: $110,000 to $150,000 per year. This posting is a current hiring need. BENEFITS AND WORK ENVIRONMENT Levio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including: * 4 weeks of cumulative vacation starting from day one * Flexible working hours * Professional Development Allowance (PDA) for training, computer equipment, and physical activities * Training tailored to your areas of expertise * Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary * Modular group insurance plan * Public transportation or parking reimbursement when required * Referral bonuses * 11 statutory holidays * Personal days * An active social life (5to7 events, social club, healthy snacks, coffee, and more) Position Details * Employment type: Full time, permanent Notice on the Use of Artificial Intelligence in Recruitment We use AI enabled tools to help sort and review applications based on job related criteria. Final decisions regarding candidate progression are always made by a human recruiter. Employment Equity Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities. We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participating in all aspects of the selection process.