Senior Machine Learning Engineer, Digital Twin Platform
LaddersAbout the role
For our client, we are seeking a Senior Machine Learning Engineer, Digital Twin Platform to join the team of a leader in the Consumer Technology space.
This role will shape machine learning systems that improve real-time inventory intelligence across a large-scale consumer platform. You will own the full ML lifecycle, from problem framing and model development through deployment and ongoing optimization. The position will also partner closely with cross-functional teams to advance product innovation and strengthen the company's core data and modeling infrastructure.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $206,000 – $217,500 annually
Responsibilities
Design and deploy machine learning models for real-time inventory understanding across thousands of locations.
Own the full ML lifecycle from problem framing to deployment with a focus on quality and business impact.
Collaborate with cross-functional teams to drive product innovation and integrate new technologies.
Contribute to the platform's core infrastructure for data ingestion and modeling.
Define the technical direction for modeling practices within a fast-paced, high-performance team.
Qualifications
5+ years of experience in developing and deploying machine learning models in production environments.
Proficient in Python and experienced with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Experience with large-scale data pipelines and structured/unstructured data handling.
Familiar with cloud infrastructure (AWS, GCP, or Azure) and relevant ML platform tools.
Bachelor's degree in Computer Science, Machine Learning, Statistics, or a similar field.
Benefits
Work in a remote-first environment with flexible location policies.
Eligible for equity grants and annual refresh grants.
Access to a comprehensive benefits package tailored to individual needs.
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
- Design and deploy machine learning models for real-time inventory understanding across thousands of locations.
- Own the full ML lifecycle from problem framing to deployment with a focus on quality and business impact.
- Collaborate with cross-functional teams to drive product innovation and integrate new technologies.
- Contribute to the platform's core infrastructure for data ingestion and modeling.
- Define the technical direction for modeling practices within a fast-paced, high-performance team.
Qualifications
- 5+ years of experience in developing and deploying machine learning models in production environments.
- Proficient in Python and experienced with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with large-scale data pipelines and structured/unstructured data handling.
- Familiar with cloud infrastructure (AWS, GCP, or Azure) and relevant ML platform tools.
- Bachelor's degree in Computer Science, Machine Learning, Statistics, or a similar field.
Benefits
- Work in a remote-first environment with flexible location policies.
- Eligible for equity grants and annual refresh grants.
- Access to a comprehensive benefits package tailored to individual needs.
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.