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Datalogic
Datalogic

Sr Software Engineer - ML CV

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Software Development
Embedded Systems
Machine learning
+33

Permanent role
3 days ago
Apply now

Senior Software Engineer - ML CV

POSITION INFORMATION

As a Machine Learning Engineer at Datalogic, you will collaborate with a dynamic team of experts to develop cutting-edge machine learning and deep learning solutions that revolutionize retail and industrial applications.

This is a remote position with candidate location in Pacific Northwest or California. Business travel will include trips to Eugene, OR as business needs require at least quarterly.

ROLE MISSION

Your work will directly impact Datalogic’s new generation of products, from enabling advanced computer vision capabilities in the retail spaces, to optimizing industrial automation processes and improving efficiency for transportation and logistics pipelines.

Key Responsibilities

  • Design and implement novel machine learning and deep learning algorithms in Python and C++ for real-time part inspection and computer vision tasks, with a strong focus on efficient deployment and interfacing with embedded devices and sensors.
  • Prototype, develop, and optimize ML/DL algorithms and models using Python (e.g., TensorFlow, PyTorch), specifically tailoring them for high performance and efficiency within resource-constrained embedded environments.
  • Establish and maintain comprehensive software development, testing, and validation pipelines for solutions deployed on embedded platforms, ensuring reliability and performance across diverse hardware configurations.
  • Lead the design and development of software solutions to transform ML/DL research and prototypes into practical, deployable systems using modern C++ and Python development practices, emphasizing modularity, scalability, and maintainability for embedded system integration.
  • Collaborate with hardware and systems engineers to define software requirements, design system architectures for embedded solutions, and ensure seamless integration of software with physical devices and control systems.
  • Contribute to Datalogic's intellectual property portfolio through patent filings, particularly for innovative software designs, embedded control algorithms, and efficient data interface mechanisms.
  • Mentor and guide interns and junior engineers in software development best practices (including Python and C++), embedded systems programming, and techniques for interfacing with hardware

Qualifications/Requirements

Education (School/Specialization) Master’s degree in Computer Science or a related field or Bachelor’s Degree in Computer Science/related field with work experience in R&D

Primary Language English/full proficiency

Experience

  • 5-10 years of hands-on experience in developing and deploying machine learning and deep learning systems, ideally with a focus on computer vision applications such as object recognition.
  • Proficiency in computer vision techniques, including object recognition, image segmentation, and feature extraction.
  • Expertise in deep learning frameworks such as TensorFlow or PyTorch.
  • Strong mathematical and analytical skills, coupled with exceptional programming skills in Python and C/C++.
  • Docker, rest Api, git or other version control systems.
  • Demonstrated ability to design and implement efficient software solutions.
  • A proactive, self-starter attitude, thriving in a fast-paced, innovation-driven environment.

Preferred Qualifications

  • Ph.D. in Computer Science, Computer Vision, Machine Learning, or Deep Learning.
  • Publications in conferences or journals.
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
  • Contributions to open-source machine learning projects.

Company Information

OTHER INFORMATION & SPECIFIC SKILLS

  • Innovative mindset
  • Problem solving attitude
  • Willingness to work with international teams
  • Practical mindset
  • Self-starter
  • Creative/curious

Datalogic is a global technology leader in the automatic data capture and factory automation markets, specialized in the designing and production of barcode readers, mobile computers, sensors for detection, measurement and safety, RFID, vision and laser marking systems.

Datalogic can boast over 50 years of history, during which it has achieved unique results: approximately 1.200 patents in multiple jurisdictions; 11 research centers and development (in Italy, USA, China and Vietnam); thousands of prestigious partners and customers deployed over five continents. The company has grown constantly over the years, thanks to the dedication with which customer needs have always been at the heart of the quality of its products and to the considerable investments in Research & Development, supported by a management capable of looking to the future.

Today, Datalogic Group has approximately 3,000 employees worldwide, distributed in 29 offices, with 11 manufacturing and repair facilities in the USA, Hungary, Slovakia, Italy, China, Vietnam and Australia. Datalogic S.p.A. is listed on the STAR segment of the Italian Stock Exchange since 2001 as DAL.MI. In 2022, the Datalogic Group made significant strides and concluded the year by generating revenue of approximately €655 million. The Group is headquartered in Bologna, Italy.

Datalogic USA, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, genetic information, or any other characteristic protected by federal, state, or local laws.

Datalogic USA, Inc. is committed to ensuring an inclusive work environment where all individuals can thrive. We seek to attract, develop, and retain diverse talent who reflect the customers we serve, and we strongly encourage all qualified candidates to apply.

About Datalogic

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