ZipRecruiter

Log In

1

Founding Machine Learning Engineer Jobs in Burnaby, BC

SAP

Senior Machine Learning Scientist

Vancouver, BC · On-site

Work with interdisciplinary teams of developers, designers, and business experts to develop ... Machine Learning engineering practices. You will act as a technical partner and lead by example ...

Cognitiv

Staff Software Engineer, Big Data

Vancouver, BC · On-site +1

The Founding Engineering team will work remotely through the summer. Starting September 1, the role ... Lead complex, cross-functional programs spanning Data Engineering, Machine Learning, Science, and ...

Remitly

Senior Engineering Manager, AI/ML

Burnaby, BC

CA$200K - CA$250K/yr

As a Senior Machine Learning Engineering Manager for the Core AI/ML team, you will lead the design and delivery of the machine learning systems and frameworks that power Remitly's next generation of ...

Cognitiv

Staff Software Engineer, Big Data

Vancouver, BC · On-site +1

The Founding Engineering team will work remotely through the summer. Starting September 1, the role ... Lead complex, cross-functional programs spanning Data Engineering, Machine Learning, Science, and ...

Apply Early

Royal Bank of Canada

Research Engineer II

Vancouver, BC · On-site

We're looking for an enthusiastic Machine Learning Research Engineer who's excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a ...

BDO Canada

AI Engineer

Vancouver, BC

CA$77K - CA$117K/yr

Your Opportunity As an experienced AI Engineer , you will design, build, and deploy productiongrade AI solutions that bridge experimental machine learning with scalable software engineering. In this ...

next page

Showing results 1-20

All JobsFounding Machine Learning Engineer JobsFounding Machine Learning Engineer Jobs in Burnaby, BC

Founding Machine Learning Engineer information

What is a Founding Machine Learning Engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

What engineer makes $500,000 a year?

A founding machine learning engineer at top tech companies or successful startups can earn $500,000 or more annually, often including base salary, bonuses, and equity. Such roles typically require advanced skills in deep learning, data modeling, and experience with large-scale systems, along with a strong track record of innovation and leadership.

What are some unique challenges and expectations for a Founding Machine Learning Engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

What is a founding ML engineer?

A founding machine learning engineer is a key technical team member involved in building and developing the company's initial machine learning systems and infrastructure. They typically have strong skills in programming, data modeling, and deploying ML models, often working closely with product teams during the startup or early-stage company formation. This role requires a combination of technical expertise and entrepreneurial mindset to shape the company's AI capabilities from the ground up.

Is a machine learning engineer still in demand?

Yes, machine learning engineers are in high demand due to the increasing adoption of AI and data-driven solutions across industries. They are sought after for their skills in algorithms, programming, and tools like Python and TensorFlow, with job growth expected to continue as AI applications expand.

Which 5 jobs will survive AI?

Founding Machine Learning Engineers are likely to continue playing a crucial role as AI advances, focusing on developing and deploying complex models that require specialized skills in programming, data science, and system architecture. Jobs that involve high levels of creativity, strategic decision-making, and human interaction—such as healthcare professionals, educators, skilled trades, and roles in management—are also expected to persist despite AI automation. These positions typically require emotional intelligence, critical thinking, and adaptability that AI cannot easily replicate.

What are the key skills and qualifications needed to thrive as a Founding Machine Learning Engineer, and why are they important?

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.
What are popular job titles related to Founding Machine Learning Engineer jobs in Burnaby, BC? For Founding Machine Learning Engineer jobs in Burnaby, BC, the most frequently searched job titles are:
Founding Machine Learning Engineer jobs near you
Senior Machine Learning Scientist

Senior Machine Learning Scientist

SAP

Vancouver, BC • On-site

Full-time

Posted 24 days ago

Job description

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. 

We are looking for a seasoned machine learning scientist to join our team at SAP Concur to deliver world class applied AI solutions to millions of users. We solve real-world challenges faced by SAP’s global customers with scalable and robust AI-augmented user experiences. This position is at the forefront of innovation and ambitious AI roadmap of SAP Concur. This is a high-impact individual contributor role for someone who thrives in a fast-paced, data-driven environment, and have a passion for applied AI systems. 
 
What you’ll build: 
 
In this job, you will work closely with our SAP Concur Spend AI team and the Spend product team to deliver real-world, high user-impact AI-driven product features in Finance and Spend domain. Specifically, you will: 

  • Explore, implement, experiment and evaluate the most recent LLMs and agentic frameworks in AI field for our use cases; 

  • Push the frontiers of scalable applied AI with real-world data and application. 

  • Work with interdisciplinary teams of developers, designers, and business experts to develop solutions with real measurable customer impact. 

  • Help to ensure performance, reliability, and ongoing improvement of our model deliverables in continuous collaboration with development teams. 

What you bring: 
 

  • Proven hands-on experience with ML / deep learning frameworks, NLP, LLMs and agents 

  • Strong track record in experimentation and evaluation of ML / AI models, LLMs and agents 

  • Extensive experience with at least one major cloud platform, AWS preferred 

  • Strong proficiency in Python and SQL  

  • Demonstrated ability to drive decisions using a data-driven mindset 

 

Preferred Skills and Experience: 
 

  • Experience with agentic systems and frameworks 

  • Experience with LLM fine-tuning, distillation, retrieval-augmented generation (RAG) systems, grounding techniques 

  • Experience with ML model / LLM deployment and productionization 

Where you belong: 

At SAP, you will collaborate across teams and geographies, sharing expertise and elevating Machine Learning engineering practices. You will act as a technical partner and lead by example, helping raise the quality and reliability of production of Machine Learning systems. 

#LI-RS11 

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.  
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 108100-222800CAD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount, and any actual payout amount is dependent on company and personal performance. A summary of benefits and eligibility requirements can be found by clicking this link:  www.SAPNorthAmericaBenefits.com.
Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in the Quebec.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 454735  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid
​

Apply