Machine Learning Engineer

New Today

Description Location: onsite 5 days/week in Willis Tower, downtown Chicago

***At this time, we are unable to consider candidates requiring visa sponsorship or third-party recruitment agencies for this role. We thank you for your understanding.***

Contract to Hire

Key Responsibilities

End-to-end design & delivery of ML solutions (data ingestion, feature engineering, training, validation, deployment, monitoring).
Architecting a highly available, secure, cloud/on-prem hybrid ML infrastructure.
Lead implementation of CI/CD for models (testing, rollout, rollback, governance).
Partner with algorithm scientists to translate ideas into production-ready code.
Ensure regulatory & privacy compliance (HIPAA, GDPR, SaMD) in pipelines.
Evaluate emerging GenAI tools, multimodal techniques, and HW accelerators; pilot where valuable.
Mentor scientists and engineers, establish coding standards, and conduct design reviews.
Required Qualifications

8 + yrs software / ML engineering, incl. 3 + yrs architecting production ML systems.
Strong domain knowledge and experience in medical signal and image processing
Background or experience with medical devices is strongly preferred.
Deep expertise in Python; proficiency in one systems language (C++/Go/Java).
Strong working knowledge of PyTorch/TensorFlow/JAX, distributed training, and GPU optimization.
Hands-on with Docker, Kubernetes, ML orchestration (Kubeflow, Airflow, Prefect), and model registries (MLflow).
Experience operating in a regulated or mission-critical environment.
Proven record of leading project teams or mentoring ML scientists and engineers; comfortable making architectural decisions and rallying others around them.
Preferred Qualifications

Background in signal processing, computer vision, or multimodal learning.
Prior involvement in FDA 510(k) / SaMD submissions or clinical-grade ML products.
Experience with data security, anonymization, synthetic data, and federated learning.
Publications, patents, or open-source leadership are a plus.
Demonstrated ability to scale yourself through others — e.g., setting coding standards, running design reviews, or leading guilds/chapters.
Soft Skills: Strategic mindset, bias for action, excellent written & verbal communication, team-first attitude.

Benefits:
York Solutions Offers a generous benefits package for eligible full-time employees:


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Location:
Chicago, IL, United States
Salary:
$200,000 - $250,000
Job Type:
FullTime
Category:
Engineering

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