Join Our Innovative Team as a Machine Learning Engineer at CTI

CTI is on the lookout for experienced Machine Learning (ML) Engineers to enhance our defense technology solutions through advanced generative model techniques. If you're passionate about leveraging deep learning to transform the battleground, this role is for you. We're expanding our ML capabilities and need talent like yours to develop, train, and implement models that advance entity recognition, threat location analysis, and signal detection.

About the Role

As an ML Engineer at CTI, you'll take the lead on integrating sophisticated deep learning architectures – including deep-neural networks, recurrent-neural networks, and convolutional-neural networks – into our existing and future systems. With projects aimed at enhancing warfighter strategies, your work will be crucial in delivering innovative solutions that safeguard our military personnel.

Key Responsibilities

Responsibilities for this position include:

• Collaborating closely with development teams to convert mission-critical needs into technical specifications.
• Exploring cutting-edge technologies to ensure CTI offers the most advanced and efficient solutions possible.
• Leading algorithm selection to add significant new capabilities to our operational stack, fulfilling critical operational gaps.
• Developing and managing ML models using programming languages such as Python, C, and Rust across various data pipelines.
• Architecting and implementing robust ML pipelines to enhance the deployment of real-time models across edge compute frameworks.
• Conducting rigorous peer code reviews, maintaining high standards in software development and model training.

Essential Skills and Experience

We are looking for ML Engineers who bring:

• A minimum of 5 years' experience in ML Engineering or Data Science, with proficient coding skills in Python, C/C++, Rust, or Kotlin.
• A Bachelor’s degree in Computer Science, Data Science, Math/Statistics, or a related field.
• Proven ability using tools such as JupyterLab, TensorFlow, MLflow, PyTorch, and MATLAB.
• Solid experience in MLOps, leading ML model design, deployment, and optimization in production environments.
• Strong familiarity with Linux/Unix and command-line tools, especially for managing distributed systems.
• Eligibility to obtain a U.S. security clearance, with U.S. citizenship required.

Preferred Skills

Additional qualifications that will make a candidate stand out:

• Experience with cloud platforms like AWS, Azure, or GCP and technologies like Docker and Kubernetes.
• Leadership prowess, capable of overseeing projects and mentoring junior engineers.
• Expertise in signal processing using 3GPP RF technologies, and familiarity with data science libraries like Pandas and Numpy.

CTI Employee Benefits

As part of our team, you’ll be entitled to a wealth of benefits designed to support your physical, financial, and professional health. Benefits include:

• Comprehensive medical, dental, and vision insurance.
• Generous paid time off including vacation, sick leave, and holidays.
• Employer-contributed 401k and tuition reimbursement.
• Flexible work schedules and telecommuting options.
• An inclusive workplace celebrated for diversity.

Ready to Make an Impact?

If you're ready to use your skills to make significant contributions to our national security and innovate for a safer world, apply to become a Machine Learning Engineer at CTI today. Explore where your expertise can take us tomorrow!

CTI is an Equal Opportunity Employer committed to diversity and inclusion.

Apply Now for Machine Learning Engineer (24-042) at CTI!