Postdoctoral In Reinforcement Learning Jobs in Denver, CO

Job Title: AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Anticipated Posting End: There is not an anticipated end date for this posting since applications are needed on an ongoing basis. The Opportunity: 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. 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 Qualifications: Required: * Active TS/SCI with Poly U.S. Government Security Clearance
* 2+ years of experience developing AI/ML applications, data science, and/or algorithm development
* BS in machine learning, computer science, mathematics, or relevant fields
* 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
* Effective communicator with the ability to write and present technical reports Desired: * 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 This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $82,100-$172,400 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.