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Deep Learning Machine Learning Director Jobs (NOW HIRING)

Hive

Machine Learning Engineer

Seattle, WA · 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.

Apple Inc.

$184K - $324K/yr

As part of this group, you will be doing large scale machine learning and deep learning research ... user with a direct answer that best satisfies their intent and information seeking needs.

New

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $200K/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 ...

Hive

Machine Learning Engineer

San Francisco, CA · 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.

Kitware

Machine Learning Engineer

Minneapolis, MN · 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 ...

Kitware

Machine Learning Engineer

Minneapolis, MN · 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 ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $200K/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 ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... more deep learning frameworks, such as PyTorch, TensorFlow, or JAX Experience building large-scale machine learning systems and working with distributed data processing frameworks Strong problem ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

What You'll Do Build novel machine learning models using deep learning, reinforcement learning, content understanding, language understanding, and more by developing pioneering machine learning ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

What You'll Do Build novel machine learning models using deep learning, reinforcement learning, content understanding, language understanding, and more by developing pioneering machine learning ...

Adobe

Machine Learning Engineer

San Jose, CA

What You'll Do Build novel machine learning models using deep learning, reinforcement learning, content understanding, language understanding, and more by developing pioneering machine learning ...

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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:

Machine Learning Engineer

Seattle, WA • On-site

Hive
See more jobs at Hiveexternal

$120K - $180K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 days ago

Job description

About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Machine Learning Role
In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
Responsibilities
  • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
  • Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
  • Utilize OWASP top 10 techniques to secure code from vulnerabilities
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements
  • You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
  • You have 1-2 years industry machine learning experience
  • You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
  • You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
  • You know the ins and outs of Python, especially as it applies to the above ML frameworks
  • You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
  • You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker
  • You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
  • You have great communication skills and ability to work with others
  • You are a strong team player, with a do-whatever-it-takes attitude

Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.
Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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