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Engineer II, Computer Vision and Machine Learning

PARAGON 28 INC
Englewood, CO Other
POSTED ON 11/18/2024 CLOSED ON 1/28/2025

What are the responsibilities and job description for the Engineer II, Computer Vision and Machine Learning position at PARAGON 28 INC?

Job Details

Job Location:    Grasslands Corporate Office - Englewood, CO
Position Type:    Full Time
Education Level:    Bachelors Degree
Salary Range:    $100,000.00 - $130,000.00 Salary
Travel Percentage:    0% - 10% Travel
Job Shift:    Day

Description

Paragon 28’s growth continues and we’re looking for more great employees!  Now is your chance to join this public company dedicated to improving a patient’s quality of life with the treatment of the most challenging foot and ankle conditions!  We are currently looking to fill the position of Engineer II, Computer Vision and Machine Learning with a starting range of $100,000 - $130,000/year, dependent upon experience, education, and skills. This position requires a full-time onsite presence.

 

The Sr. Engineer in Computer Vision and Machine Learning will join our Advanced Technologies team, contributing to the development and deployment of machine learning models to support navigation, instrumented implants/instruments, and wearable technologies. This role requires proficiency across the entire machine learning lifecycle, including data acquisition, feature engineering, model training, evaluation, and deployment. A key focus will be applying computer vision techniques specifically for robotic and navigation systems within the orthopedic industry.

 

Key Responsibilities

  • Collaborate within a multidisciplinary team to advance machine learning applications in surgical navigation and wearable technologies.

  • Drive model development across the machine learning lifecycle, encompassing:

  • Definition & Data Preparation: Gather and prepare data, including acquisition and annotation.

  • Feature Engineering & Model Training: Select and train models, ensuring performance aligns with project objectives.

  • Performance Evaluation: Assess model robustness and reliability for deployment in real-world applications.

  • Deployment & Monitoring: Oversee model integration, ongoing evaluation, and optimization post-deployment.

  • Provide technical leadership in computer vision methodologies for robotic and navigation systems.

  • Define system feasibility, focusing on data requirements and performance metrics.

  • Develop prototype software and features, overseeing machine learning integration in project ecosystems.

 

Current Opportunity

The Advanced Technologies team has strengths in data science, statistical modeling, and hardware/software integration, with a developing expertise in machine learning for classification and convolution tasks. We are seeking an engineer with a strong background in state-of-the-art computer vision and machine learning to bridge this gap, enhancing our capabilities in these areas.

 

Project Interaction

  • Actively contribute to the development of computer vision-driven navigation systems for surgical applications.

  • Lead engineering efforts for patient monitoring technologies based on wearable sensor data.

  • Guide system requirements, ensuring machine learning solutions meet data and performance expectations.

  • Own the full machine learning lifecycle, from prototype to deployment and ongoing optimization.

 


Qualifications

  • Bachelor’s or master’s degree in computer science, Engineering, or a related field with a focus on Machine Learning or Computer Vision.

  • Proficient in programming (Python, C , etc.) with experience in GPU-based computation (e.g., CUDA).

  • Demonstrated experience in model development for computer vision applications, including experience with robotic arm and end effector tracking.

  • Familiarity with statistical modeling, particularly in complex shape, function, and intensity modeling.

  • Knowledge of orthopedic or medical device industry needs is a plus.

 

P28 is a leader in the development and distribution of medical solutions for the foot and ankle industry.  Established in 2010, every member of our inspired and dedicated team serves a vital role in the achievement of our mission: to strategically build a company around the core principles that drive innovation and quality.  We're located at 14445 Grasslands Dr., just off E-470 and Peoria St. on the east side of Englewood, CO.

 

We offer comprehensive medical coverage with generously subsidized premiums for both employees only and coverage with dependents. Plans include prescription drug and behavioral health coverage as well as telemedicine services.  Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness), pet insurance and more.  Free counseling services and resources are offered for emotional, physical, and financial wellbeing through our Employee Assistance Program.  A safe harbor 401(k) Plan with 3% match and an Employee Stock Purchase Plan, which allows purchase of P28 stock at a discounted rate.  You are able to accrue 19 days of PTO over 12 months to maintain a fulfilling work/life balance. Our working environment is considered Colorado Casual. Onsite we have a fresh food kiosk, free parking and will have a new, expanded fitness center!

 

Paragon 28 is an equal opportunity employer and values diversity. All employment decisions are decided on the basis of qualifications, merit, and business need.

 

Notice to Recruiters and Staffing Agencies:  to protect the interests of all parties, Paragon 28, Inc. will not accept unsolicited resumes or referrals from any source other than directly from a candidate or an approved vendor that has a written and signed agreement in place through the Paragon 28, Inc. HR department.  Please do not contact or forward resumes or referrals to our company employees.  Any unsolicited resumes will be considered Paragon 28, Inc. property.  Paragon 28, Inc. is not responsible for any charges or fees related to unsolicited resumes or referrals.

Salary : $100,000 - $130,000

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