At a Glance
- Tasks: Lead the machine learning lifecycle and build scalable systems for financial products.
- Company: Join Remitly, a leader in financial technology with a focus on AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and impactful projects.
- Why this job: Shape the future of finance with cutting-edge AI solutions and mentor fellow engineers.
- Qualifications: 8+ years in ML systems, strong programming skills, and experience with cloud platforms.
The predicted salary is between 123750 - 151250 $ per year.
Drive Remitly's AI strategy as a Senior Machine Learning Engineer within the Core AI/ML team.
Focus on building scalable machine learning systems that shape the future of financial products.
In this senior role, you will lead the entire machine learning lifecycle, from data analysis to model deployment.
Collaborate with cross-functional teams to convert prototypes into dependable ML systems that enhance user experiences.
This position emphasizes optimizing models through best practices in MLOps and mentoring fellow engineers to ensure high-quality coding standards.
Key
Responsibilities
- Lead end-to-end machine learning lifecycle processes
- Design and scale feature pipelines for ML applications
- Collaborate with data scientists and product owners
- Optimize models using MLOps best practices
- Mentor engineers and lead design reviews
Requirements
- 8+ years of experience in production ML systems
- Degree in Computer Science or related field
- Strong Python, Go, or Scala programming skills
- Experience with ML frameworks like Py Torch
- Familiarity with cloud platforms (AWS, GCP, Azure)
Apply your expertise in machine learning and deep learning to spearhead impactful solutions at Remitly. #J-18808-Ljbffr
Senior Machine Learning Engineer in Burnaby employer: Remitly
At Remitly, we pride ourselves on being an exceptional employer that champions innovation and collaboration. Our Connected Work Culture encourages dynamic teamwork and offers generous benefits, including four weeks of vacation, health and wellness support, and opportunities for professional growth through continuing education. Located in a vibrant community, we empower our employees to make a meaningful impact while enjoying a fulfilling work-life balance.
