Want to be part of a new generation of creative individuals?

JOIN OUR TEAM TO MAKE AN IMPACT ON THE WORLD OF TOMORROW

At Reconess, we are always looking for talented and passionate people to join us in our on-going journey.

Looking for an opportunity to work on unique AI technologies? Looking to take your career to the next level of creativity and innovation? Let us know.

If you're interested in joining a dynamic, innovative, and multicultural environment drop us a line, we would love to hear from you! We are always interested in what you have to say even if we don't have an open position for your, we might have a need in the future or even open a position just for you! Send your resume and cover letter to jobs@reconess.com

READY TO TAKE A NEW CHALLENGE?

A problem solver with a can do attitude.
A person with excellent interpersonal, time management, and self-organization skills.
An innovative individual with a creative mind.
Out-of-the box thinker.

Open Positions

If you haven’t found any offer that fits you, don’t worry. Tell us what are you the best at and what you could teach us. We might open a new position especially for you! Let’s give a shot.

Reconess has multiple openings for mobile developers to work on Android, iOS. You will join a team that is building advanced mobile communication, consumer, and business applications.

As part of Reconess’ expansion, we are looking for a Graphic Designer to join our growing team. The individual will be in charge of creating and developing communications expressions and artworks for our digital platforms.

Key Responsibilities:

  • Create and prepare final artwork for digital platforms like social media, email, and google advertising.
  • Ability to rapidly create original professional illustrations and themes (e.g. icons, logos, characters, graphics).
  • Work closely with marketing team to develop new artworks following Reconess’s guidelines.
  • Experience with motion graphics and After Effects. -advantage
  • The ability to create 2D/3D animations and live action composites, graphic design, storyboarding, pre-visualization,etc for videos -advantage.
  • The ability to create interesting and emotionally engaging designs which deliver measurable results.
  • Collaborate fully with all members of Reconess team.

Requirements:

  • Bachelor’s Degree required in a related field: Graphic design, Visual Effects/Motion Graphics or the equivalent in experience, and evidence of exceptional creativity.
  • +2 years of experience in graphic design.
  • The ability to develop unique concepts and visual styles
  • Demonstrated experience in crafting usable digital interfaces.
  • Proficiency in Adobe Creative Cloud (Photoshop, Illustrator, and InDesign).
  • Exceptional creative skills and ability to create eye-catching visual designs.
  • Excellent written and verbal communication skills in English.
  • Team player and great collaborator with ability to work within an international team spread geographically.
  • Able to work on various projects simultaneously and handle pressure well.
  • Self-motivated, organized, and dynamic individual with a can-do attitude.
  • open-minded and professional when receiving feedback.
  • Stay up-to-date on the latest design trends, digital platforms and competitive landscape and apply best practices to the work.

Interested? if you think you have what it takes please send your resume, and your portfolio to jobs@reconess.com.

Requirements:

  • PhD/MSc in Machine Learning, Computer Science, Statistics, Operations Research, Mathematics or a related field.
  • 1+ years of industry or academic experience in Machine Learning, Optimization or Data Mining and Statistical Models.
  • Actively participate and present in AI/ML conferences.
  • Experience in developing signal/image processing and computer vision algorithms.
  • Solid knowledge of software development techniques, languages, and tools.
  • Strong analytical and programming skills in Python, c++ and experience with scientific data analysis libraries such as pandas, numpy, scipy, and scikit-learn.
  • Deep experience with AI/ML platforms
  • Solid experience in Distributed Deep Neural Networks. With industry experience in Deep Learning, Machine learning, and experience working in one or moe Machine Learning & deep learning frameworks like Pytorch, Tensorflow, caffe, caffe2, h2o or any other machine learning.
  • Deep experience in statistics, probability theory, data modeling, machine learning algorithms and software development techniques
  • Algorithm Optimization for real-time implementation
  • Well understand new product technology to contribute to definition of optimum software architecture.
  • Ability to work in a fast paced environment with sometimes incomplete requirements.
  • Demonstrates innovative and strategic thinking and initiative to take action in front of challenges.
  • Learn, explore, and research new machine learning algorithms in the field of Reinforcement Learning.
  • Develop state-of-the-art, multi-threaded and distributed algorithms in C/C++ and python in an agile manner.
  • The ability to implement prototypes of existing algorithms and new ideas in a higher-level language.
  • Experience with big data frameworks such as Hadoop/Spark – advantage.
  • Experience in developing signal/image processing and computer vision algorithms.
  • Familiarity Linux operating systems – advantage.
  • Quick and creative technology solution finding abilities.
  • Fluent spoken and written English.
  • Proven ability to own and execute complex tasks, under tight schedules and dynamic conditions.
  • Open-minded, fast learner and willingness to learn.
  • Team player and great collaborator with ability to work within an international team spread geographically.

Desired Characteristics:

  • Knowledgeable with facial technologies or other biometrics.
  • Research track record with peer-reviewed publications in academic conferences and journals in the related areas like Deep/machine learning.

Requirements:

  • PhD/MSc degree in computer science, computer engineer, mathematics or the equivalent in experience, and evidence of exceptional ability.
  • Expertise in deep learning, deep neural networks, convolutional neural networks, random forests, classifiers, feature representations, and/or related techniques.
  • 2+ years experience working on object recognition/classification algorithms.
  • Strong analytical and programming skills in Python, c++ and experience with scientific data analysis libraries such as pandas, numpy, scipy, and scikit-learn.
  • Excellent software architecture skills.
  • Design and train deep neural networks, with experience working in one or moe Machine Learning & deep learning frameworks like Pytorch, Tensorflow, caffe, caffe2, h2o or any other machine learning.
  • Familiarity with deep learning hardware (CPU, GPU, bandwidth).
  • Knowledge of Matlab/Python Background in DNN.
  • Hands-on experience in Cloud base machine learning – advantage.
  • Experience with big data frameworks such as Hadoop/Spark – advantage.
  • Experience in developing signal/image processing and computer vision algorithms.
  • Familiarity Linux operating systems – advantage.
  • Quick and creative technology solution finding abilities.
  • Fluent spoken and written English.
  • Proven ability to own and execute complex tasks, under tight schedules and dynamic conditions.
  • Open-minded, fast learner and willingness to learn.
  • Team player and great collaborator with ability to work within an international team spread geographically.

Desired Characteristics:

  • Knowledgeable with facial technologies or other biometrics.
  • Research track record with peer-reviewed publications in academic conferences and journals in the related areas like Deep/machine learning.

Responsibilities:

  • Design and develop state-of-the-art deep learning architectures.
  • Design and implement scalable algorithms.
  • Conduct performance analysis and optimize neural networks training code.
  • Work with a cross-functional team of autonomous software & hardware engineers, application/UI engineers, QA/Validation, and designers.
  • Research and develop optimized state-of-the-art algorithims releated to facial technologies that run efficiently in a distributed enviroment.

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