OPEN JOB POSITIONS

Deep Learning Analytics is searching for individuals to fill the following job positions at our rapidly growing company.  If you have experience with machine learning or deep learning, and are an innovative thinker who can bring new perspectives to our team, send us your resume. 

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Data Scientist
 

Location - Arlington VA (Rosslyn)

Salary Range - Commensurable with experience

Posted Date - February 18, 2018

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Deep Learning Analytics is searching for a Data Scientist to work with on a dedicated team of research scientists and engineers to develop deep learning algorithms.  If you have experience with machine learning and are an innovative thinker who can bring new perspectives to our team, send us your resume.

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What you will be doing

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• Assignments vary by task and may require you to:​

  • Wrangle data (observed samples and labels) for use in machine learning algorithms

  • Wrangle and manipulate CAD models, such as common 3D vertex-face surface representations

  • Comply with a govt-defined ICD for inputs (data) and outputs (performance metrics and object recognition specification)

  • Develop machine learning systems to perform supervised and unsupervised learning

  • Develop a proficiency with deep learning algorithms, design considerations, and methods to overcome their limitations or constraints due to hardware or data

  • Export deep architectures onto a small SWAP hardware platform (such as an FPGA or GPU SoC systems)

  • Optimize deep architectures for performance, and implement systems to formalize and support such optimization

  • Supporting and enhancing any of the above in the context of the current project

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Technical Skills  

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• Communication of complex technical material (powerpoint, word, etc.)

• Machine learning and deep learning in CUDA and Python (including scikit-learn, Caffe, TensorFlow, Torch7, cuDNN, etc.)

• DevOps, including machine provisioning (a la vagrant, puppet, etc.)

• Familiarity with the Linux command line (bash scripting)

• Experience working with large, complex image datasets

• Version control systems (git, etc.)

• Database design and use (LMDB, MongoDB, e.g.)

• Deep learning frameworks (Caffe, TF, etc.)

• Validation methods

Experience Required

• Level 1 and II - 1 year experience in a research project

• Level III - 3 years experience with research projects

• Level IV - 5 years experience with research projects 

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Experience Desired

• Remote pair programming

• Machine learning

• Deep learning projects

• Relevant published work (level IV and higher)
   

Education 

• Level I, II and III - a bachelor's degree in engineering and/or relevant STEM field

• Level IV - minimum of Masters Degree in engineering and/or relevant STEM field

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Clearance Requirements - Secret 

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Tell Us About Yourself!

Deep Learning Analytics is an equal opportunity employer. We value diversity and do not discriminate on the basis of race, religion, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. 

Data Scientist Support Engineer

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Location - Arlington VA (Rosslyn)

Salary Range - Commensurable with experience

Posted Date - February 18, 2018 

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Deep Learning Analytics is searching for a Data Scientist Support Engineer to work in our Rosslyn, VA location. If you have experience with machine learning or deep learning, and are an innovative thinker who can bring new perspectives to our team, send us your resume.

​

What you will be doing

As a software support engineer you will work with a team of innovative data scientists on a state-of-the-art deep learning project. As a support engineer, you will: 

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• Assist data scientists in the development of machine learning and deep learning algorithms

• Support closed-space experimental results generation, optimization and analyses 

• Assignments vary by task and may require you to:

  • Wrangle data (observed samples and labels) for use in machine learning algorithms

  • Comply with a govt-defined ICD for inputs (data) and outputs (performance metrics and object recognition specification)

  • Optimize deep architectures for performance, and implement systems to formalize and support such optimization

  • Develop machine learning systems to perform supervised and unsupervised learning

  • Develop a proficiency with deep learning algorithms, design considerations, and methods to overcome their limitations or constraints due to hardware or data

  • Export deep architectures onto a small SWAP hardware platform (such as an FPGA or GPU SoC systems)

  • Supporting and enhancing any of the above in the context of the project.

• ​Comply with all government compliance requirements, including security protocols, time charging, and ethics, among others

​

Technical Skills  

• Machine learning and deep learning in CUDA and Python (including scikit-learn, Caffe, TensorFlow, Torch7, cuDNN, etc.)

• DevOps, including machine provisioning (a la vagrant, puppet, etc.)

• Familiarity with the Linux command line (bash scripting)

• Experience working with large, complex image datasets

• Version control systems (git, etc.)

• NOSQL Database design (MongoDB, e.g.)

• Communication of complex technical material (powerpoint, word, etc.)

• QA and some testing procedures using nose

Experience Required

Level II positions require 1 years experience in software engineering, computer science, or other applicable STEM field, preferably including experience with machine learning in a team context.

Level III positions require 3 years experience in software engineering, computer science, or other applicable STEM field, preferably including experience with machine learning in a team context.

​

Experience Desired

• Remote pair programming

• Machine learning and relevant published research work

• Deep learning projects

• Git experience

​

Education 

An engineering or computer science degree, or other degree in an applicable STEM field is required for this position.

​

Clearance Requirements

This job requires candidate have an active Secret security clearance to support classified processing.​

​

Tell Us About Yourself!

Deep Learning Analytics is an equal opportunity employer. We value diversity and do not discriminate on the basis of race, religion, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. 

Software Engineer 

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Location - Arlington VA (Rosslyn)

Salary Range - Commensurable with experience

Posted Date - February 15, 2018

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Deep Learning Analytics is searching for a Software Engineer to work in our Rosslyn, VA location. If you have experience with machine learning and software development, send us your resume.

​

What you will be doing

As a software engineer you will work with a team of innovative data scientists on a state-of-the-art deep learning project. You will also work on small business innovative research projects under the direction of a senior engineer or principle investigator.  Your job responsibilities will include: 

​

• Assist data scientists in the development of machine learning and deep learning algorithms

• Support closed-space experimental results generation, optimization and analyses

• Assignments vary by task and may require you to:

  • Wrangle data (observed samples and labels) for use in machine learning algorithms

  • Wrangle and manipulate CAD models, such as common 3D vertex-face surface representations

  • Comply with a govt-defined ICD for inputs (data) and outputs (performance metrics and object recognition specification)

  • Develop machine learning systems to perform supervised and unsupervised learning

  • Develop a proficiency with deep learning algorithms, design considerations, and methods to overcome their limitations or constraints due to hardware or data

  • Export deep architectures onto a small SWAP hardware platform (such as an FPGA or GPU SoC systems)

  • Optimize deep architectures for performance, and implement systems to formalize and support such optimization

  • Supporting and enhancing any of the above in the context of the current project

• Comply with all government compliance requirements, including security protocols, time charging, and ethics, among others

Technical Skills  

• Communication of complex technical material (powerpoint, word, etc.)

• Machine learning and deep learning in CUDA and Python (including scikit-learn, Caffe, TensorFlow, Torch7, cuDNN, etc.)

• DevOps, including machine provisioning (a la vagrant, puppet, etc.)

• Familiarity with the Linux command line (bash scripting)

• Experience working with large, complex image datasets

• Version control systems (git, etc.)

• NOSQL Database design (MongoDB, e.g.)

• QA and some testing procedures 

Experience Required

Software Engineer level II - at least 1-3 year experience in software engineering, computer science, or other applicable STEM field.

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Software Engineer level II - at least 3-5 years experience in software engineering, computer science, or other applicable STEM field, preferably including experience with complex CAD modeling and software tools.

​

Experience Desired

• Remote pair programming

• Machine learning and relevant published research work

• Deep learning projects

• Git experience

​

Education 

An engineering or computer science degree, or other degree in an applicable STEM field is required for this position.

​

Clearance Requirements

This job requires candidates have an active Secret security clearance to support classified processing.​

​

Tell Us About Yourself!

Deep Learning Analytics is an equal opportunity employer. We value diversity and do not discriminate on the basis of race, religion, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status.