This is an on-site position that can be located at either our Aurora, CO or King of Prussia, PA location. In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that's of interest to you. We also offer generous relocation benefits for eligible candidates as well as consideration for sign on bonuses consistent with skills and experience levels.
Position Overview:This position is for an
AI/ML Engineer looking for new challenging problems. You will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models. Additionally, we have a team of excellent researchers and software developers who are eager to mentor and teach their craft. We have multiple positions available and welcome all experience levels!
Responsibilities:Our ideal candidate is an AI/ML engineer with experience working in research teams prototyping and developing AI/ML algorithms. This candidate will be joining our team of AI/ML engineers and researchers to apply cutting-edge AI/ML algorithms in a variety of domains to the mission needs of our customers.
As an AI/ML Engineer, your responsibilities include:
- Working as part of a small team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
- Analyzing large multi-domain datasets such as images, text, and/or graph data to identify statistically relevant features to build models that provide analysts with actionable data
- Using cloud services to train and deploy ML models
- Reviewing relevant publications to understand and apply cutting edge concepts to defense and commercial applications
- Writing technical documentation supporting code, program capabilities, and user-guides
Required Qualifications:- Effective communicator with the ability to write and present technical reports
- Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch
- Experience with one or more of the following:
- Applying unsupervised and/or supervised machine learning techniques
- Applying and/or developing algorithms based in statistical analysis
- Analyzing large datasets and building models to perform inference
- BS in machine learning, computer science, mathematics, or relevant fields
- 2+ years of experience developing AI/ML applications, data science, and/or algorithm development
- Active TS/SCI with CI Poly U.S. Government Security Clearance
Preferred Qualifications:- MS or PhD in machine learning, computer science, mathematics, or relevant fields
- Experience leading an interdisciplinary team of researchers and software developers
- Experience with any of the following AI/ML domains:
- Large Language Models and experience identifying ways to incorporate them into new areas and applications
- Object detection algorithms such as YOLO and Faster-RCNN
- Natural Language Processing algorithms such as Transformers and RNNs
- Applying Transformer-based architectures to domains in other areas outside of NLP such as computer vision
- Generative Adversarial Networks and Variational Autoencoders
- Reinforcement learning and familiarity with OpenAI Gym, RLlib, and Stable Baselines
- Applying clustering algorithms and/or deep neural networks to real life problems
- Implementing tracking & fusion and pattern-of-life algorithms
- Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain
- Experience with Linux
- Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
- Experience with any of the following additional languages: C++, Java, and/or C#
- Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
- Experience with implementing tracking and fusion, and pattern-of-life algorithms
- Experience in application deployment, virtualization, and containerization
- Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
- Experience shaping and writing proposals
Location:This position is based out of ARKA's
King of Prussia, PA campus. Situated less than an hour outside of Philadelphia and hosting the largest mall on the east coast, King of Prussia offers the urban feel sought in the city, while also giving opportunities to experience the beauty and history found only in Pennsylvania.
What We Offer: - Comprehensive medical/vision/dental insurance packages
- Company contributions to qualified HSA accounts
- 401k retirement plan with industry leading company contributions
- 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
- 13 paid holidays
- Upfront tuition assistance for approved degree programs
- Annual bonus program based on company and employee performance
- Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
- 4 weeks paid Parental Leave
- Employee assistance program (EAP)
EHS/Environmental Requirements: This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 40 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to [redacted] or contact [redacted] and press 2 for Human Resources.
ITC & Security Clearance Requirements: This position requires an active TS/SCI with CI Poly U.S. Government Security Clearance.
Visa Restrictions: No visa sponsorship is available for this position.
Pre-employment Screenings: Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.
