1874 IT & Software Developer jobs in the US
AI Engineer - Machine Learning Specialist
$167,000 - 207,000
D3 Security Management Systems
West Pender Street 250, Vancouver
$167,000 - 207,000
Requirements
Must:
- 2+ years of experience in software engineering with a focus on building and deploying production applications.
- Proficient coding skills in Python and/or C# along with robust backend engineering principles.
- Experience in contemporary web development using JavaScript/TypeScript, preferably with frameworks such as React.
- Familiarity with API-driven systems and experience working across various application layers.
- Practical knowledge of LLMs, AI development tools, or AI-enhanced product features.
- Ability to translate vague product or engineering requirements into detailed implementation plans.
- Sound judgment on when to utilize AI for generating, reasoning, or assistive functions versus traditional software logic.
- Strong analytical and problem-solving abilities, along with an emphasis on quality assurance.
- Excellent verbal and written communication skills.
Responsibilities
- Develop and deliver AI-powered product features that merge LLMs, backend services, APIs, data systems, and frontend experiences into customer-centric workflows.
- Enhance and streamline AI-assisted development processes to boost engineering efficiency and software quality.
- Contribute to intricate application workflows encompassing model outputs, tool utilization, business logic, and validations.
- Collaborate across services and product areas to integrate AI capabilities into production environments in a sustainable manner.
- Work together with engineering, product, and design teams to define needs, assess solutions, and implement improvements for end-users.
- Elevate the quality of AI systems via rigorous testing, experimentation, measurement, and iterative development.
- Ensure production readiness by adhering to sound engineering practices including observability, debugging, CI/CD, and operational reliability.
- Develop internal patterns and reusable components for efficiently creating AI-driven features across the product.
Description
At D3 Security, we are revolutionizing SecOps through Morpheus, our AI-driven Autonomous Security Operations Center (ASOC) platform. Located in the vibrant downtown Vancouver area next to Burrard Skytrain Station, we offer a nurturing environment complemented by a dynamic and innovative team. Our mission is to provide intelligent, scalable, and integrated security operations solutions for leading organizations worldwide. We offer competitive compensation, performance bonuses, equity opportunities, and comprehensive health benefits, along with on-site gym access, commuter reimbursement, team-building activities, and free snacks in our office. Join us for genuine ownership, significant impact, and ample growth opportunities!
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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 1874 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?
KUBRA, Bank of Canada, Levven Electronics Ltd., Forensic Discovery, Structured Communication Systems, Inc, Spacesaver Corporation, Manufacturo Inc among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Kforce Technology Staffing as they are hiring for 130 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Kforce Technology Staffing as they are hiring for 130 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.