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Remote Director Machine Learning Jobs in Texas (NOW HIRING)

Deep understanding of AI security concepts, including machine learning, threat detection, anomaly ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Deep understanding of AI security concepts, including machine learning, threat detection, anomaly ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Deep understanding of AI security concepts, including machine learning, threat detection, anomaly ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Posted today

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt ...

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ...

... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline Must have * Understanding of various machine learning algorithms (e.g. SVM, Random Forests ...

Remote, USA - Ideally Texas due to client locations About Quvia: Quvia is building the digital ... Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ...

Showing results 41-60

Remote Director Machine Learning information

What does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.

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

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What are the most commonly searched types of Remote Machine Learning jobs in Texas?

The most popular types of Remote Machine Learning jobs in Texas are:

What job categories do people searching Remote Director Machine Learning jobs in Texas look for?

The top searched job categories for Remote Director Machine Learning jobs in Texas are:

What cities in Texas are hiring for Remote Director Machine Learning jobs?

Cities in Texas with the most Remote Director Machine Learning job openings:

Enterprise Account Director- TOLA

HiddenLayer

Dallas, TX • On-site, Remote

Full-time

Posted 9 days ago


Job description

Enterprise Account Director- Dallas, TX or Austin, TX

Remote [within the US]

ABOUT THE ROLE:

We are seeking a highly motivated and experienced Enterprise Account Director to join our dynamic team. As a pivotal member of our sales force, you will be responsible for driving revenue growth through strategic sales initiatives focused on our security for AI products and services. You will collaborate closely with cross-functional teams including marketing, product development, and customer success to ensure the delivery of comprehensive solutions that meet and exceed customer expectations.

WHO WE ARE:

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely.

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU'LL DO:

  • Develop and execute a strategic sales plan to achieve sales targets and expand the customer base within the security for AI market segment.
  • Build strong, long-lasting relationships with key stakeholders, including C-level executives and decision-makers, to understand their business needs and position our solutions effectively.
  • Lead complex negotiations and contract discussions, ensuring favorable terms that align with company objectives and customer requirements.
  • Collaborate with internal teams to develop customized proposals, presentations, and demonstrations that showcase the value proposition of our security for AI solutions.
  • Track and report on sales performance metrics, forecasting accuracy, and pipeline management using CRM tools to drive informed business decisions.
  • Represent HiddenLayer at industry events, conferences, and seminars to promote our brand and establish thought leadership in the security for AI space.

WHO YOU ARE:

  • Bachelor's degree in Business Administration, Marketing, Computer Science, or a related field; MBA preferred.
  • Proven track record of success in enterprise sales within the cybersecurity or AI technology industry, with a minimum of 7 years of experience.
  • Deep understanding of AI security concepts, including machine learning, threat detection, anomaly detection, and data protection.
  • Strong business acumen and strategic thinking skills, with the ability to translate complex technical solutions into tangible business benefits for customers.
  • Excellent communication, presentation, and negotiation skills, with the ability to influence and persuade at all levels of an organization.
  • Self-motivated and results-oriented, with a demonstrated ability to work independently and as part of a team in a fast-paced, entrepreneurial environment.
  • Experience with CRM software (e.g., Salesforce) and proficiency in Microsoft Office Suite.

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures.

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:

  • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.
  • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings.
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
  • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.