4164 IT & Software Developer jobs in the US

Booz Allen Hamilton jobs

Chief Product Engineer, Software

$142,900 - 266,000
Booz Allen Hamilton
Greensboro Drive 8360, McLean
$142,900 - 266,000
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Over 8 years of experience in developing and managing production-quality full-stack applications within cloud environments like AWS - Over 8 years of software development experience with both front-end and back-end technologies, using languages such as Java, Python, or Go - More than 8 years of experience in launching commercially available products - At least 6 years of expertise in system design and architecture, focusing on design patterns, reliability, and scaling of systems - Experience in mentoring or supervising team members in a collaborative, cross-functional setting - Proficiency with automated deployment and testing tools for system maintenance and testing - Strong ability to lead and collaborate in a fast-paced, innovative environment - Capability to take ownership of products throughout their lifecycle, from architecture to deployment, testing, and support - Willingness to present work samples as part of the hiring process - Bachelors degree in Computer Science or related field with a minimum of 6 years in software engineering, or 10 years of experience in software engineering in absence of a degree

Responsibilities

- Design and develop innovative AI-driven solutions for complex cybersecurity challenges - Collaborate with a team of innovators to create groundbreaking technology solutions - Utilize the latest architectural strategies and open-source tools to deliver comprehensive solutions - Lead the complete design, development, deployment, and operations of high-availability software products incorporating agentic AI - Implement best practices for CI/CD, canary releases, telemetry, and automated testing to ensure product quality and reliability - Drive system improvements by identifying areas for enhancement in software applications - Foster an environment of continuous learning and knowledge sharing among team members - Exhibit autonomy and ownership in shaping new products from inception to launch

Description


At Booz Allen, we are at the forefront of innovation in cloud-native software services, cybersecurity, and agentic AI. We offer a dynamic work environment where you will join a passionate team committed to redefining the market with cutting-edge technology. Employees enjoy comprehensive benefits, including health, financial, and retirement plans, along with professional development opportunities and paid leave. Our culture prioritizes collaboration, whether in-person or remote, ensuring our people thrive in their roles. Join us in making a difference in the world of technology and cybersecurity.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find Machine Learning Engineer salaries in the United States here.

How many Machine Learning Engineer jobs are in the United States?

Currently, there are 4164 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.

Is the US a good place for Machine Learning Engineers?

The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for Machine Learning Engineer jobs in the United States?

Gatestone & Co. Inc, D3 Security Management Systems, The Dufresne Group (TDG), GINGER Telecom, GE Aerospace, Castellum Inc, Glotel among others, are currently hiring for ML, AI roles in the United States.

The company with most openings is Judge Group, Inc. as they are hiring for 301 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.