Dayforce · 1 month ago
Sr. Engineer, Machine Learning
United States
Full-time
Remote
Senior Level
$128K/yr - $228K/yr
6+ years expDayforce is a global human capital management company headquartered in Toronto and Minneapolis, offering a unified Cloud HCM platform. They are seeking a Senior Machine Learning Engineer to design and implement machine learning models and algorithms, contributing both as a hands-on engineer and a technical leader.
Artificial Intelligence (AI)Big DataCloud ComputingLegalEnterprise SoftwareFinanceHuman ResourcesSaaSSoftwareBusiness IntelligenceComplianceFinancial Services
Responsibilities
Design, develop, and implement machine learning models, algorithms, and API services that meet business needs and requirements
Develop full-stack solutions including frontend, middle-tier, and backend components using technologies such as React, Python, SQL, Delta Tables, GraphQL, and PySpark
Apply machine learning techniques to large datasets to identify trends, patterns, and actionable insights
Collaborate with cross-functional teams including software developers, data scientists, data engineers, and domain experts to prototype and productionize AI-driven solutions
Prepare, clean, and preprocess large-scale datasets to ensure high data quality and suitability for training ML models
Evaluate and optimize machine learning models for accuracy, efficiency, scalability, and bias mitigation
Identify and analyze potential biases in datasets, features, and model predictions, implementing fairness and mitigation strategies where appropriate
Manage end-to-end machine learning pipelines, from data preprocessing and feature engineering through training, deployment, monitoring, and continuous improvement
Deploy and integrate machine learning models into production environments and implement monitoring systems for usage, performance, and feedback collection
Develop and maintain ML software systems, reusable libraries, testing frameworks, and automated test suites
Participate in research and development of emerging machine learning and AI technologies
Mentor junior engineers and contribute technical leadership within the team
Stay current with advancements in machine learning, AI technologies, cloud infrastructure, and software engineering best practices
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Statistics, or a related field. Equivalent practical experience will also be considered
6+ years of overall software development experience
2+ years of experience in machine learning and AI software development
Strong programming experience in Python and machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn
Experience building APIs and backend services using frameworks such as Flask or FastAPI
Experience with frontend development using React
Strong understanding of supervised and unsupervised learning, deep learning, reinforcement learning, NLP, ensemble methods, and ML fundamentals
Familiarity with AI fairness concepts and bias detection/mitigation techniques
Experience with cloud platforms such as AWS, Azure, or GCP and their machine learning services
Experience working with relational and non-relational databases, including MSSQL, NoSQL, Delta Tables, and related technologies
Strong understanding of data structures, algorithms, design patterns, and scalable software architecture
Experience with CI/CD pipelines, Docker containers, and cloud-based ML deployment workflows
Strong analytical, problem-solving, and critical-thinking skills
Excellent communication and collaboration skills, with the ability to explain complex technical concepts to technical and non-technical stakeholders
Preferred
Experience with data visualization, feature engineering, and data manipulation techniques
Practical experience detecting and mitigating model bias using fairness-aware ML techniques
Experience building and deploying ML-powered products in production environments
Experience with AWS cloud infrastructure and tooling
Contributions to open-source ML projects or a portfolio of previous ML work
Benefits
Excellent time away from work programs
Comprehensive wellness initiatives
Recognition through competitive pay and benefits
Volunteer days
Dayforce Cares charity
Opportunities for you to thrive both in your career and personal life
Company
Dayforce
Dayforce is as a global leader in HCM technology focused on improving work for thousands of customers and millions of employees around the world.
5001-10000 employees
H1B Sponsorship
Dayforce has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
50%
Represents job field similar to this job
Engineering and Development
Accounting and Finance
Customer Service and Support
Management and Executive
Trends of Total Sponsorships
*2026 (1)
2025 (2)
2024 (3)
Funding
Current Stage
Late StageLeadership Team
Jeremy Johnson
Chief Financial Officer
Aimee Melgar (she/her)
VP, Global Partner Strategy and Programs
Company data provided by crunchbase