remote machine learning engineer ii Jobs – 10 Openings This Week

Machine Learning Engineer II
Wave HQ —Remote
- $101,000–$113,000 a year
- Full-time
- Remote
- Computer Science
- Engineering
- AWS
Quick apply
Machine Learning Engineer II (Servicing ML)
Affirm —Toronto, ON
- $123,000–$183,000 a year
- Remote
- Machine learning
- APIs
- Communication skills
- Employee stock purchase plan
- Dental care
12d
Senior Software Engineer II, Machine Learning
Narvar —Vancouver, BC
- $180,000–$230,000 a year
- Remote
- Computer Science
- Master's degree
- Databases
Quick apply
Staff II Software Engineer, Data Ingestion
StackAdapt —Remote
- Remote
- Communication skills
- Paid time off
- Work from home
Senior Recruiter II - Product Management
Samsara —Toronto, ON
- $123,250–$159,500 a year
- Remote
- Recruiting
- AI
7d
Senior Software Engineer II (Shopware)
EBizCharge —Remote
- Full-time
- Remote
- DevOps
- Databases
- SQL
Applied Scientist II
Coalition, Inc. —Toronto, ON
- $103,800–$129,690 a year
- Remote
- Doctoral degree
- Computer Science
- Master's degree
- Dental care
- Paid time off
Quick apply
Senior Data Scientist II - AI for Analytics
Instacart —Toronto, ON
- $192,000–$202,500 a year
- Remote
- SQL
- Analysis skills
- Machine learning
Quick apply
7d

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Based on your search for machine learning engineer ii

Machine Learning Engineer II
Wave HQ —Remote
Communication: Strong ability to communicate complex technical concepts to non-technical stakeholders and influence project direction.
$101,000–$113,000 a year
Quick apply
Machine Learning Engineer II (Servicing ML)
Affirm —Toronto, ON
You will develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our…
$123,000–$183,000 a year
12d

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Director, Corporate Technical Operations (Infrastructure)
Accommodations Plus International —Markham, ON
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field; Master's degree or MBA preferred; equivalent experience will be…
$160,000–$180,000 a year
8d

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Machine Learning Engineer II

Wave HQ -
Remote

Quick apply

Job details

Full-time
$101,000–$113,000 a year

Qualifications

Computer Science
Engineering
Spark
AWS
Machine learning
Terraform
Redshift
SaaS
AI
Data Science

Full job description

At Wave, we help small businesses to thrive so the heart of our communities beats stronger. We work in an environment buzzing with creative energy and inspiration. No matter where you are or how you get the job done, you have what you need to be successful and connected. The mark of true success at Wave is the ability to be bold, learn quickly and share your knowledge generously.

As a Machine Learning Engineer II, you will be a key contributor to the design, development, and deployment of our foundational AI and ML models. You will build robust, scalable machine learning pipelines and platforms that support advanced analytics and business intelligence. This role is perfect for a technical lead-in-the-making who wants to ensure our AI systems are efficient, reliable, and deeply integrated into our organizational goals.

Here's How You Make an Impact:

Design & Execute: Take ownership of the design and implementation of modern AI stack components, including data ingestion for AI/ML workloads and end-to-end model training and serving pipelines.
Scale & Optimize: Build and manage fault-tolerant AI platforms that scale economically. You will balance the maintenance of legacy models with the rapid development of advanced, scalable solutions.
Mentor & Collaborate: Provide technical mentorship to junior engineers and foster a collaborative environment. You will act as a bridge between data science and production engineering.
Drive Technical Excellence: Promote best practices in coding, testing, and MLOps. You thrive in ambiguous conditions by independently identifying opportunities to optimize model pipelines and improve AI workflows.
Cross-Functional Integration: Partner with data scientists, product managers, and software engineers to translate business needs into technical requirements and integrate AI solutions into production applications.
Implement Governance: Enforce model quality standards, integrity, and reliability. You will be responsible for implementing model lineage, fairness, and privacy controls within the automated pipelines.
Monitor & Measure: Build monitoring frameworks to track model performance and system KPIs, ensuring our AI initiatives drive measurable business outcomes.

You Thrive Here By Possessing the Following:

Experience: Minimum of 4–6 years of professional experience in machine learning engineering, with a proven track record of deploying models into production environments.
Education: Degree/Diploma in Computer Science, Engineering, Data Science, Applied AI, Machine Learning, or some combination.
Technical Depth: Deep understanding of the modern AI stack, including data ingestion workflows and experience working with curated data warehouses like Snowflake, Databricks, or Redshift.
Cloud Proficiency: At least 3 years of hands-on experience with AWS infrastructure, specifically SageMaker, Spark/AWS Glue, and Infrastructure as Code (IaC) using Terraform.
Orchestration Expert: High proficiency in managing multi-stage workflows using Airflow or similar orchestration systems to automate training and deployment cycles.
MLOps Toolkit: Practical experience with MLflow, Kubeflow, or SageMaker Feature Store to support the end-to-end machine learning lifecycle.
Governance Mindset: Familiarity with model governance practices (lineage, fairness, and privacy) and experience using data cataloging tools for compliance.
Communication: Strong ability to communicate complex technical concepts to non-technical stakeholders and influence project direction.
Industry Context: Experience in FinTech or SaaS environments is a significant advantage.

Final compensation is determined based on experience, expertise, and role alignment. Most candidates are hired within the middle of the range, with the upper end reserved for those bringing exceptional depth, impact, and immediate autonomy.

We also offer:

Bonus Structure
Employer-paid Benefits Plan
Health & Wellness Flex Account
Professional Development Account
Wellness Days
Paid Holiday Shutdown
Wave Days (extra vacation days in the summer)
Get A-Wave Program (work from anywhere in the world up to 90 days)

Visit our site to find out more about life at Wave!

At Wave, we value diversity of perspective. Your unique experience enriches our organization. We welcome applicants from all backgrounds. Let’s talk about how you can thrive here!

Wave is committed to providing an inclusive and accessible candidate experience. If you require accommodations during the recruitment process, please let us know by emailing [email protected]. We will work with you to meet your needs.

We use Google Gemini, a secure AI assistant, during interviews for note-taking purposes only. Notes are kept confidential and are not shared outside the hiring process. This allows our interviewers to stay fully focused on you during the conversation.

This advertised posting is a current vacancy.

Quick apply

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machine learning engineer ii jobs in remote

Machine Learning Engineer II

Machine Learning Engineer II (Servicing ML)

Senior Software Engineer II, Machine Learning

Staff II Software Engineer, Data Ingestion

Senior Recruiter II - Product Management

Senior Software Engineer II (Shopware)

Applied Scientist II

Senior Data Scientist II - AI for Analytics

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