Machine Learning Engineer
LaddersAbout the role
For our client, we are seeking a Machine Learning Engineer to join the team of a leader in the Enterprise Technology space.
This role will focus on building and operating production-grade machine learning systems that improve reliability, scalability, and business impact across the technology stack. You will partner closely with cross-functional stakeholders to translate ambiguous problem statements into practical ML solutions and measurable outcomes. The position also requires strong collaboration with engineering and operations teams to deliver compliant services, strengthen monitoring, and support continuous improvement across the model lifecycle.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $155,520 – $228,700 annually
Responsibilities
Partner with stakeholders to analyze and clarify ML problem statements
Design and maintain scalable ML solutions in a production environment
Create reproducible ML workflows with modern orchestration tools
Implement frameworks to monitor and evaluate model performance and data quality
Collaborate on delivering compliant ML-powered services across disciplines
Demonstrate system design rationale and understanding of end-to-end models
Drive operational excellence, including incident response and customer feedback handling
Qualifications
5+ years of experience in building and operating ML systems in production environments
Strong foundation in ML/AI concepts such as statistics and optimization applied to real-world challenges
Proficient in Python, Java, and SQL, with solid software engineering principles
Hands-on experience with data pipelines and cloud platforms, including orchestration tools like Airflow or Kubeflow
Familiarity with MLOps tooling and machine learning lifecycle best practices
Knowledge of containerization and cloud infrastructure, such as Docker and Kubernetes
Excellent communication skills for conveying complex technical concepts clearly
Benefits
Competitive pay and generous time off policies
Parental and wellness leave options
Comprehensive healthcare benefits
Retirement savings program
Opportunities for professional development and volunteering
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Responsibilities
- Partner with stakeholders to analyze and clarify ML problem statements
- Design and maintain scalable ML solutions in a production environment
- Create reproducible ML workflows with modern orchestration tools
- Implement frameworks to monitor and evaluate model performance and data quality
- Collaborate on delivering compliant ML-powered services across disciplines
- Demonstrate system design rationale and understanding of end-to-end models
- Drive operational excellence, including incident response and customer feedback handling
Qualifications
- 5+ years of experience in building and operating ML systems in production environments
- Strong foundation in ML/AI concepts such as statistics and optimization applied to real-world challenges
- Proficient in Python, Java, and SQL, with solid software engineering principles
- Hands-on experience with data pipelines and cloud platforms, including orchestration tools like Airflow or Kubeflow
- Familiarity with MLOps tooling and machine learning lifecycle best practices
- Knowledge of containerization and cloud infrastructure, such as Docker and Kubernetes
- Excellent communication skills for conveying complex technical concepts clearly
Benefits
- Competitive pay and generous time off policies
- Parental and wellness leave options
- Comprehensive healthcare benefits
- Retirement savings program
- Opportunities for professional development and volunteering
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.