Lynntech, Inc.
  • 07-Apr-2022 to Until Filled (CST)
  • Intelligent Systems
  • College Station, TX, USA
  • Part Time

Machine Learning, Computer Vision, and Data Science Internship

On-site position in College Station, TX. US Persons.

The Intelligent Systems Group at Lynntech is developing new technologies through Research and Development (R&D) to come up with solution to frontier challenges in Artificial Intelligence, Machine Learning (ML), and Data Science. We operate in a collaborative multi-disciplinary environment, where projects lie at the intersection of evolving technical fields, focusing on Intelligence, Surveillance, Reconnaissance (ISR) and Security, Navigation and Tracking, and Healthcare and Life Sciences.

Position Summary

The Intelligent System Group at Lynntech is a team of about 10 scientists, engineers, and programmers seeking to double its size over the next year. To that end, we are seeking interns for Summer 2022, Fall 2022 and potentially beyond, to support existing projects and expose students and new engineers to our career opportunities while working directly with Lynntech's scientists and engineers on real-world problems. Our team has several projects running in parallel, and work focus may shift according to different project deadlines. Our projects revolve around combinations of activities from the following project domains:

  • Computer Vision and Image Processing
  • Machine Learning and Natural Language Processing
  • 3D Modeling and Image Synthesis
  • Remote Sensing and use of GIS
  • State Estimation, Filtering, and Statistical Analysis
  • Data Acquisition, Synthesis, Wrangling, and Processing

The exact responsibilities of an intern will vary between individuals and depend on the various states of the multiple projects. Our team has several Principal Investigators (PI) leading multiple projects and if it is in the best interest of the group, interns may be asked to help with projects from different PIs or simultaneously. Some projects may also have a hardware component, which will likely be tied to data acquisition and processing.

Lynntech's projects lie at the interface between fundamental research and engineering. We often are adapting ideas from disparate academic fields and finding ways to apply them in various real-world domains. Interns participate in this process by assembling data sets for testing methods, setting up computational environments, and building and testing models. Interns start off working on individual tasks and filling in singular needs, but will be given the opportunity, and encouraged to take ownership of sub-systems for which they are considered responsible. Interns are hourly employees and are expected to contribute an average of at least 20 hours per week (minimum of 40 to a maximum of 70 hours over bi-weekly pay periods).

What a successful intern-supervisor pairing looks like:

  • First 15 Days: Intern has familiarized themselves with our operations and working environments. Any knowledge gaps have been identified, and intern is on the path to learning what is needed to fulfill job duties. Intern has demonstrated ability to complete individual tasks with supervision. Supervisor has provided the necessary tools, environments, and resources for job duties and has established and prioritized tasks for the intern.
  • First 30 Days: Intern can perform tasks with decreasing supervision and is gaining domain expertise on one subsystem. Supervisor and intern have together identified candidate subsystems for which the intern may be responsible for in the future. Intern successfully completes tasks on time. Supervisor continues to prioritize tasks for intern.
  • First 60 Days: Intern has taken ownership of a subsystem and understands the inputs/outputs to their subsystem and its relevance to the overall project. Intern continues to be aware of deadlines and can successfully provide finished work on time. Supervisor has established project goals with sufficient clarity for the intern to start prioritizing tasks themselves.
  • First 90 Days: Intern has successfully managed their subsystem while providing aid to others and fulfilling various tasks. Intern has successfully prioritized tasks related to their subsystem. Supervisor and intern have discussed opportunities for the intern owning larger systems in the future.

Eligibility and Qualifications


  • The candidate must be able to provide evidence of being either a U.S. citizen or U.S. permanent resident at the time of application to meet contract requirements.
  • Intern should have on average 15 to 20+ hours per week availability. (30 to 40+ bi-weekly)
  • Job is on-site. After a minimal six-week period, hybrid work may be possible per supervisor discretion.

Basic Qualifications:

  • Ability to work in teams and juggle multiple, possibly changing, priorities
  • Platform agnostic: should be able to work with Microsoft Windows, Linux, or MacOS.
  • Proficiency with word processing, spreadsheet, and slide show software (e.g. MS Office)
  • Programming proficiency with languages such as Python, MATLAB, C and C++
    • Iteration, recursion, conditional statements
    • Basic data structures and algorithms: sorting, trees, queues, etc
    • Complexity estimation
    • Data types and computer logic
    • Development environments and revision control
    • Numerical methods and approximation techniques
    • Image processing methods
  • Mathematics proficiency with algebra, linear algebra and linear systems, information theory, probability and statics
    • Solving linear systems
    • Basic matrix algebra
    • Base conversion
    • Calculations of means, standard deviations, RMS
    • Regression analysis and model fitting
    • Basic calculus

Additional Preferred Qualifications and Valuable Experience:

  • Experience with Deep Learning and Neural Networks such as detectors, classifiers, Generative Adversarial Networks (GANs), Reinforcement Learning, Style Transfer, and related algorithms or architectures.
  • Experience in developing AI solutions for any of the following domains: Computer Vision, Medical Image Processing, Geo-spatial Intelligence, Natural Language Processing (NLP) or Signal Processing.
  • AI Explainability methods, Adversarial Examples, and evaluation of AI algorithms performance.
  • Game development, Virtual Reality, or Augmented Reality

The Team

The Intelligent Systems Group at Lynntech is developing new technologies through Research and Development (R&D) to come up with solution to frontier challenges in Artificial Intelligence, Machine Learning (ML), and Data Science. We operate in a collaborative multi-disciplinary environment, where projects often lie at the intersection of different technical fields, broadly falling into one of the three industry domains:

  • Intelligence, Surveillance, Reconnaissance (ISR) and Security
  • Navigation and Tracking
  • Healthcare and Life Sciences

Within these domains we work to generate, plan, and execute highly innovative solutions in the fields of AI, state-of-the-art electro-optical/infrared, embedded navigation systems, human-machine interfaces, and other resources to solve real-world problems such as search and rescue, analysis of geospatial data to provide actionable intelligence, terrain monitoring, disaster recovery, computer vision for autonomous vehicles, assistive technologies for disabled users, data analytics, natural language processing, and mobile computing for Internet of Things (IoT) applications.

As part of our ongoing research efforts, we continuously evaluate topics from government-released R&D solicitations and write research proposals in response. Upon competitive selection for contract award, such proposals become active research projects. Our team has several such R&D projects running in parallel. Each project is coordinated by one of our Principal Investigators (PI) who are responsible for supervising and delegating workloads between projects and it is common for scientists, engineers, and analysists to be involved in two to three projects simultaneously.

Why should you work at Lynntech?

Employee Benefits and perks of the position and area:

  • Opportunities to pursue R&D interests through government grants with full support of our Project Management Office (PMO) for assisting with the application process and document submission
  • Benefits: Medical, Dental, Life, Disability, Vision, Retirement and Leave
  • Short commute and low cost of living for the Bryan-College Station area
  • Close proximity to Texas A&M University and frequent opportunities for collaboration with faculty.
  • < 2-hour drive from the Austin and Houston, < 3-hour drive from San Antonio and Dallas metro areas.

Opportunity for Career Growth:

  • Your work will have an impact and make a difference in the world: Lynntech employees get to work across various disciplines and are engaged in all aspects of technology development from idea generation to commercialization.
  • Opportunities to own your projects. On-boarding at Lynntech is designed to provide new hires with opportunities to take on more and more responsibilities in our R&D projects, eventually have the chance to lead them.
  • You get the best of both worlds: We offer the infrastructure and stability of an established company as well as the challenge, benefits, and entrepreneurial spirit associated with a small business.
  • Your work will be interesting and varied: You will have the opportunity to be creative and work on a myriad of projects across various industries (defense, energy, aerospace and medical). If you can get buy-in for your idea and procure funding to pursue research, you will get to work on it.
  • You'll be able to contribute to the organization in a variety of ways: You will get to wear a variety of hats in this role. Some examples include core technology strategy development, proposal writing, research and technology development, product development, program management, business development and mentorship of young researchers.

A day in the life with the Intelligent Systems Group

Our projects lie at the interface between fundamental research and engineering, and we are often adapting ideas from disparate academic fields and finding ways to apply them in various real-world domains. We have several R&D projects running in parallel, and work focus shifts according to different project needs and deadlines. Each project is coordinated by one of our Principal Investigators (PI) who are responsible for supervising and delegating workloads between projects and it is common for scientists, engineers, and analysists to be involved in two to three projects simultaneously. You will start off working on individual tasks and filling in singular needs but over time be given responsibility for developing and maintaining larger pieces of projects and owning your own systems. We encourage our group members' growth and provide opportunities for taking on more responsibility, eventually leading projects and deciding the direction of future research.

Our projects leverage the following core disciplines:

  • Computer Vision, Image Processing, and Numerical Methods
  • Machine Learning and Natural Language Processing
  • Simulation, 3D Modeling, and Image Synthesis
  • Remote Sensing and Geospatial Analytics
  • State Estimation, Filtering, and Statistical Analysis
  • Data Acquisition, Synthesis, Wrangling, and Processing
  • Software Development and Sys Admin
  • Research, Proposal Writing, Grantsmanship, and Business Development

Even though you will start off focusing on one specific domain, team members are frequently involved on multiple projects with duties that span across these core disciplines. It is perfectly acceptable if find yourself slowly branching out or changing disciplines as your interests change and certain projects gain more traction than others. Branching out takes the form of joining existing projects or working on proposals to start new ones. Each of us is involved to some degree with the evaluation of government-released research solicitations. When batches of solicitations are released by various government entities, like NASA or the Department of Defense, for example, we come together as a team and decide on which ones we should pursue and who will lead efforts on writing proposals to the selected topics.

Interview Process

After applicants have submitted their application, our interviews follow a four-step process:

  1. Pre-screening and request for work sample. If an applicant's resume passes pre-screening, Lynntech will send out a candidate packet which contains information about the company and the team. We will also request a work sample which is demonstrative of the applicant's experience relevant to the job posting. If the work sample demonstrates relevant proficiency in the job domain, Lynntech will continue with scheduling a time for an interview.
  2. 1st Interview (Usually Phone/Virtual unless local candidate). [Duration: 1 hr] During this call, both parties will review background information and review eligibility requirements. Company policies, job expectations, work environment, and availability will be discussed. The interview may conclude here if the candidate is no longer interested in pursuing the opportunity or if the candidate does not meet basic eligibility requirements. We will also discuss the different roles in the group and establish the domain specific project needs which we have at that moment and candidate will be asked to rank their experience and comfort level with the various core disciplines. Candidates will be expected to elaborate on their relevant past project experience.
  3. Candidate Assessment, Part 1: If both parties choose to continue, candidates will be asked to complete and submit Part 1 of the Assessment which was included in their packets. This assessment covers fundamentals in computer literacy, programming, and mathematics. Lynntech will review the submission and before scheduling a second interview. Part 2 of the assessment is only requested if a second interview is scheduled.
  4. 2nd Interview (Usually On-site*) and Part 2 of Assessment. [Duration: 3 to 4 hr] If both parties choose to continue, an in-person interview will be scheduled, and the candidate is responsible for completing Part 2 of the assessment prior to the second interview. The candidate will be notified in advance if an optional domain specific assignment or live coding interview is required. This final step will be comprised of the following:
    1. Past Project Presentation/Demo: The candidate will give a 10-15 minute presentation/demonstration of a past personal or professional project which relates to one of our core disciplines. Your presentation should resemble more of a story than an academic talk and it can be an example from your past personal or professional experience. If you have physical or virtual demonstrations at hand, or something interactive, you're encouraged to bring them. It's also beneficial if you have pictures/graphics and videos walking us through your development process and showing the final result. Highlight any problems or challenges you faced along the way and how you overcame them. There will be time at the end for Q&A and open discussion. If you're uncertain about what topic to present on, please reference our technical domains for guidance. Duration: 25 to 45 min
    2. Project Domains and Core Disciplines Discussion: We will discuss what the existing project needs are and how the candidate's skill set can best fit the project needs. We will review the various roles, responsibilities, and how the various core disciplines relate to our projects. Duration: 30 to 40 min
    3. [Optional] Assessment Review: If reviewers have previously provided a domain specific assignment, candidate answers will be reviewed, and additional questions may be given. Interviewers will assess candidate's ability to reason through challenges and their ability to identify and test their assumptions when approaching problems. Duration: 30 to 60 min
    4. [Optional] Live Coding Interview: A live open-book set of coding problems. Candidates will be given programming problems which they must solve. Internet search will be available for looking up information and interviewers will be there to answer questions and help if necessary. This will test not only the candidate's ability to program, but also their ability to search for answers and ask for help and collaborate when appropriate. Duration: 30 to 60 min

* For long-distance candidates, this may be a virtual interview. If a job offer is made the candidate will be invited to for an on-site visit before a final response is expected.

Interested applicants are encouraged to apply online at Lynntech is an Equal Opportunity Employer M/F/Vet/Disabled.

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If you are interested in applying for employment with Lynntech, Inc. and need special assistance or an accommodation to apply for a posted position, call (979) 764-2228 and leave a message with your requested accommodation or email

Lynntech is an Equal Opportunity Employer for Minorities, Females, Veterans, and Disabled Persons.

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