Nuance Communications
Nuance Communications

60 Nuance Communications Senior Machine Learning Engineer Jobs Hiring Near You

Sr Machine Learning Engineer

San Diego, CA · On-site

$131K - $173K/yr

The Marlin Alliance, Inc. is seeking a talented and experienced Senior Machine Learning Engineer to ... Strong analytical, problem-solving, and communication skills. * Ability to work effectively in a ...

Senior Machine Learning Engineer

Malvern, PA · On-site

$120K - $158K/yr

We are assisting our client in hiring for a Senior Machine Learning Engineer. Our client is an established SaaS company serving banks, credit unions, and fintechs. Their cloud-based platform helps ...

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... communication skills and a high sense of ownership Company : Attentive is a personalized mobile ...

Senior Machine Learning Engineer

$125K - $165K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... communication skills and a high sense of ownership Company : Attentive is a personalized mobile ...

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on ... Communication Skills: Excellent verbal and written communication skills, with the ability to convey ...

$95K - $130K/yr

As a Senior Machine Learning Engineer, you will design, deploy, maintain, and improve robust machine learning systems that support manufacturing and other business functions. You will help translate ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that ... Effective verbal/written communication, and technical presentation skills. * Experience with ...

Showing results 41-60

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Senior Machine Learning Engineer

General Atomics Aeronautical Systems

Poway, CA • On-site

$125K - $165K/yr

Full-time

Re-posted 20 hours ago


Job description

Job Summary:
General Atomics Aeronautical Systems, Inc. (GA-ASI) is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars. They are seeking a Senior Machine Learning Engineer to develop and communicate insights and algorithms, improve product performance through machine learning techniques, and lead technical teams in executing projects.
Responsibilities:
• Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope.
• In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
• In both theoretical development environments and specific product design, implementation and improvement environments, uses programming language and technologies to translate algorithms and technical specifications into code.
• Completes programming and implements efficiencies, performs testing and debugging.
• Completes documentation and procedures for installation and maintenance.
• Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope.
• Lead technical teams and scope challenging projects into executable sprints.
• Drive code reviews to help team adhere to general DevSecOps and MLOps best practices.
• Have a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution.
• Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
• Interface with external vendors and partners to integrate their technology into the team’s autonomy stack.
• Maintains the strict confidentiality of sensitive information.
• Performs other duties as assigned.
• Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company.
• Expected to work in a safe manner in accordance with established operating procedures and practices.
Qualifications:
Required:
• Typically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education.
• Must have an advanced understanding of machine learning concepts, principles, and theory.
• Demonstrates the ability to follow and apply advanced machine learning knowledge, adapt cutting edge standard techniques, and utilize the required diagnostics, tools and equipment, while ensuring safety and regulatory compliance.
• Must be able to understand new concepts quickly and apply them accurately throughout an evolving environment.
• Strong communication, computer, and interpersonal skills are required to enable an effective interface with other professionals, to produce appropriate documentation, and to present results to a limited internal audience.
• Must be able to work both independently and on a team.
• Must have a demonstrated history of applying novel technical solutions in fast evolving product areas.
• Able to work extended hours as required.
• Ability to obtain and maintain a DoD security clearance is required.
Company:
General Atomics Aeronautical Systems is an engineer, researcher and developers of advanced remotely piloted aircraft and systems. Founded in 1993, the company is headquartered in Poway, USA, with a team of 5001-10000 employees. The company is currently Late Stage.