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 focus on building and deploying machine learning solutions that improve real-time inventory visibility across retail environments. You will own the ML lifecycle end to end, partnering with product, engineering, and other cross-functional teams to turn complex data into production-ready systems. The position also calls for shaping the technical direction of a high-impact team working on core business challenges and foundational infrastructure.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $201,000 – $253,500 annually
Responsibilities
Design and deploy machine learning models for real-time inventory tracking across retail locations.
Own the complete ML lifecycle from problem framing to production deployment.
Collaborate with cross-functional teams to innovate and implement new product technologies.
Contribute to core infrastructure for data ingestion and modeling.
Define the technical direction for a startup-like team tackling core business challenges.
Qualifications
5+ years of experience with deployment of machine learning models in production.
Strong proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
Experience managing large-scale data pipelines with both structured and unstructured data.
Familiarity with cloud platforms such as AWS, GCP, or Azure for model training and serving.
Bachelor's degree in a relevant technical field or equivalent practical experience.
Benefits
Flexible remote work policy.
Opportunity for equity grants as a new hire, plus annual refresh grants.
Access to a collaborative and fast-paced work environment.
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 tracking across retail locations.
- Own the complete ML lifecycle from problem framing to production deployment.
- Collaborate with cross-functional teams to innovate and implement new product technologies.
- Contribute to core infrastructure for data ingestion and modeling.
- Define the technical direction for a startup-like team tackling core business challenges.
Qualifications
- 5+ years of experience with deployment of machine learning models in production.
- Strong proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
- Experience managing large-scale data pipelines with both structured and unstructured data.
- Familiarity with cloud platforms such as AWS, GCP, or Azure for model training and serving.
- Bachelor's degree in a relevant technical field or equivalent practical experience.
Benefits
- Flexible remote work policy.
- Opportunity for equity grants as a new hire, plus annual refresh grants.
- Access to a collaborative and fast-paced work environment.
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.