Machine Learning Engineer (Computer Vision)

FORTNA partners with the world’s leading brands to transform omnichannel and parcel distribution operations. Known world-wide for enabling companies to keep pace with digital disruption and growth objectives, we design and deliver solutions, powered by intelligent software, to optimize fast, accurate and cost-effective order fulfillment and last mile delivery.

Our people, innovative approach and proprietary algorithms and tools ensure optimal operations design and material and information flow.

We deliver exceptional value every day to our customers with comprehensive services and products including network strategy, distribution center operational design and implementation, material handling automated equipment, robotics and a comprehensive suite of lifecycle services.

Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.

At FORTNA, we believe in fostering a workplace that isn't just a job but a movement a collective effort to redefine success and transform challenges into opportunities.

Join the Movement" encapsulates our commitment to a workplace culture that thrives on collaboration, celebrates diversity, and empowers every individual to contribute to something greater than themselves.

Our Team. Our Passion. Our Approach.

The Research and Development group within FORTNA focuses on novel approaches to Robotics within the material handling sector.

R&D is seeking an experienced Machine Learning Engineer to join the Computer Vision group. The group is focused on computer vision applied to physical systems of its rapidly growing product line.

You will focus on creating robust multi-sensor fusion systems, enhancing the capabilities of our robots through advanced computer vision techniques.

Responsibilities include :

• Develop new computer vision and robotics algorithms for pick and place robots.
• Develop and optimize deep learning algorithms for multi-camera and multi-sensor integration to achieve accurate real-time sensing and decision-making.
• Develop, Train and Test various Neural Network (NN) architectures along with novel implementations.
• Developing computer vision solutions for generating 3D synthetic data for simulation environments as well as for self-supervised learning approaches.
• Develop and deploy newly trained models on real-world robotic platforms with state-of-the-art inference pipelines.
• Stay up to date with the latest developments in machine learning, computer vision, and robotics, integrating novel ideas and technologies into our systems.
• Optimize models for speed and accuracy.
• Maintain and improve existing machine learning infrastructure, ensuring scalability and efficiency.

Required Qualifications :

• Master’s degree or PhD in Computer Science, Robotics, or a related field.
• Strong linear algebra, 3D Geometry, Probability and Statistics Knowledge.
• Proven expertise in machine learning, especially in computer vision and sensor fusion applications.
• 2-5 years of experience with Learning based Computer Vision / Robotics approaches.
• Experience with NVIDIA TensorRT or similar deployment tools.
• Knowledge of OpenCV, PCL and CUDA.
• Proficient in programming languages such as Python or C++ and machine learning frameworks like TensorFlow, PyTorch, or Keras.

Preferred Skills :

• Publications or a significant track record in relevant fields.
• Experience working with 3D Data.
• Experience working with sensor fusion and multi camera systems.
• Experience working on self-supervised learning approaches.
• Experience with edge computing devices and optimization for low-power systems.

The base salary range for this role is $97,800 to $146,700. This base salary range represents the low and high end of the base salary range for this position.

Actual base salary offered will vary based on various factors including but not limited to location, level, job-related knowledge, skills, experience, and performance.

This job description describes the general nature and level of work expected of a person assigned to this position. All job requirements listed indicate the minimum level of knowledge, skills and / or ability deemed necessary to perform the job proficiently.

Employees may be required to perform any other job-related duties as requested by their supervisor.

It is the policy of FORTNA and its affiliated companies to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and / or expression, genetic information, marital status, pregnancy or pregnancy-related condition, status with regard to public assistance, veteran status, citizenship status (if authorized to work in the U.

S.), or any other characteristic protected by federal, state or local law. In addition, FORTNA will provide reasonable accommodations for qualified individuals with disabilities.

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