AI/ML Engineer
$82.1k - $172.4kCaci Inc
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.
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