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Deep Learning Machine Learning Director Jobs (NOW HIRING)

Machine Learning Director

San Francisco, CA ยท On-site

$300K - $321K/yr

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning ... You must have a deep understanding of the full ML lifecycle (from feature extraction to production ...

$300K - $321K/yr

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning ... You must have a deep understanding of the full ML lifecycle (from feature extraction to production ...

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning ... You must have a deep understanding of the full ML lifecycle (from feature extraction to production ...

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning ... You must have a deep understanding of the full ML lifecycle (from feature extraction to production ...

Machine Learning Director

San Francisco, CA ยท On-site

$300K - $321K/yr

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning ... You must have a deep understanding of the full ML lifecycle (from feature extraction to production ...

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning ... You must have a deep understanding of the full ML lifecycle (from feature extraction to production ...

Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction ...

At Eccalon, the projects we support often require solutions that utilize the latest and the best from Deep Learning/Machine Learning research. We support advanced projects in both data constrained ...

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning ... You must have a deep understanding of the full ML lifecycle (from feature extraction to production ...

We are looking for developers who are excited about staying at the forefront of deep learning ... The work you do here will have a noticeable and direct impact on the development of the company.

Machine Learning Engineer

Clifton Park, NY ยท On-site

$85K - $125K/yr

We have developed a deep understanding in extracting useful, actionable information from multiple ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$120K - $180K/yr

We are looking for developers who are excited about staying at the forefront of deep learning ... The work you do here will have a noticeable and direct impact on the development of the company.

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Deep Learning Machine Learning Director information

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$36K

$91.9K

$141K

How much do deep learning machine learning director jobs pay per year?

As of Sep 10, 2026, the average yearly pay for deep learning machine learning director in the United States is $91,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $106,000.00 per year, depending on experience, location, and employer.

What is a deep learning machine learning director?

A Deep Learning Machine Learning Director is a senior-level leader responsible for overseeing the development and implementation of machine learning and deep learning strategies within an organization. This role involves managing teams of data scientists and engineers, setting research and development priorities, and ensuring that AI projects align with business goals. They also stay up-to-date with the latest advancements in artificial intelligence, collaborate with other departments, and may represent the company at industry events. The director plays a crucial role in scaling AI initiatives and driving innovation through advanced machine learning techniques.

What are the typical challenges a deep learning machine learning director faces when leading cross-functional AI projects?

A Deep Learning Machine Learning Director often navigates challenges such as aligning the technical goals of data science teams with the strategic objectives of stakeholders in product, engineering, and business units. Ensuring clear communication across disciplines, managing resource constraints, and keeping up with rapidly evolving AI technologies are common hurdles. Additionally, directors must balance fostering innovation with maintaining project timelines and regulatory compliance. Effective leadership in this role requires both deep technical expertise and strong organizational skills to drive impactful, cross-functional AI initiatives.

What are the key skills and qualifications needed to thrive as a deep learning machine learning director, and why are they important?

To thrive as a Deep Learning Machine Learning Director, you need deep expertise in machine learning, deep learning architectures, computer science fundamentals, and typically a graduate degree in a technical field. Experience with frameworks like TensorFlow, PyTorch, and cloud platforms, along with a track record of leading successful AI initiatives, is essential. Strategic vision, leadership, and strong communication skills help drive innovation and align technical teams with business objectives. These skills and qualities are crucial for delivering impactful AI solutions and maintaining a competitive edge in fast-evolving technology landscapes.

What are popular job titles related to Deep Learning Machine Learning Director jobs?

For Deep Learning Machine Learning Director jobs, the most frequently searched job titles are:

Applications Engineer (Deep Learning/Machine Learning)

Reston, VA โ€ข On-site

Brillient
IT Servicesย โ€ขย 1 - 5K employees

Full-time

Re-posted 5 days ago


Job description

Brillient Corporation is seeking an Applications Engineer (Deep Learning/Machine Learning) to join its team in Reston, Virginia to work on client facing projects as well as internal projects.

Description:The Applications Engineer will work on intelligent automation, and AI/cognitive applicationsincluding machine learning and deep learning techniques. He/shewill interface with non-technical users to document requirements, develop applications using an agile development process and be in charge of deployment and operations. Opportunities to learnand applynext generation technologies in the areas ofAI,machine learning and block-chain.