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Machine Learning Startup Jobs in Dallas, TX (NOW HIRING)

GM Financial

IT Program Manager

Arlington, TX · On-site

$101K - $102K/yr

We're committed to AI-powered transformation, using advanced machine learning and automation to ... a startup mindset, preserve our small company culture, in a public company environment with ...

Huntington

Principal Innovation Engineer

Dallas, TX · On-site

This role requires strong hands-on full-stack engineering skills, the mindset of a startup ... Machine Learning, or a related technical field * 10+ years of experience in software engineering ...

Huntington

Principal Innovation Engineer

Dallas, TX

$102K - $208K/yr

This role requires strong hands-on full-stack engineering skills, the mindset of a startup ... Machine Learning, or a related technical field * 10+ years of experience in software engineering ...

GM Financial

IT Program Manager

Arlington, TX · Hybrid

$104K - $104K/yr

We're committed to AI-powered transformation, using advanced machine learning and automation to ... a startup mindset, preserve our small company culture, in a public company environment with ...

Zimperium

Sr. Cloud Security Engineer - FedRamp

Dallas, TX · On-site

$113K - $155K/yr

Our MTD and award-winning machine learning-based engine protects against device, network, phishing ... and a fast-paced startup/tech company (for agility and innovation). - Relevant industry ...

Zimperium

Sr. Cloud Security Engineer - FedRamp

Dallas, TX · On-site +1

$113K - $155K/yr

Our MTD and award-winning machine learning-based engine protects against device, network, phishing ... and a fast-paced startup/tech company (for agility and innovation). - Relevant industry ...

Braviant Holdings

Director of Compliance

Dallas, TX · Hybrid

... and cutting-edge machine learning to transform how people access credit online. Our next ... fast-paced startup environment. * Strong Excel skills and the ability to learn our systems.

Geico

Staff Engineer - IVR

Dallas, TX

$115K - $230K/yr

Proven experience designing, developing, and deploying AI or machine learning models(LLMs) in ... Ability to excel in a fast-paced, startup-like environment * Knowledge of developer tooling across ...

Braviant Holdings

Director of Compliance

Dallas, TX · Hybrid

... and cutting-edge machine learning to transform how people access credit online. Our next ... fast-paced startup environment. * Strong Excel skills and the ability to learn our systems.

Braviant Holdings

Director of Compliance

Dallas, TX · On-site

... and cutting-edge machine learning to transform how people access credit online. Our next ... fast-paced startup environment. * Strong Excel skills and the ability to learn our systems.

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Showing results 1-20

All JobsMachine Learning Startup JobsMachine Learning Startup Jobs in Dallas, TX

Machine Learning Startup information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

How much do machine learning startup jobs pay per year?

As of Jul 17, 2026, the average yearly pay for machine learning startup in Dallas, TX is $42,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Startup position, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the typical responsibilities and daily challenges when working at a Machine Learning Startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What is a Machine Learning Startup job?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the most commonly searched types of Machine Learning Startup jobs in Dallas, TX? The most popular types of Machine Learning Startup jobs in Dallas, TX are:
What are popular job titles related to Machine Learning Startup jobs in Dallas, TX? For Machine Learning Startup jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Startup jobs in Dallas, TX look for? The top searched job categories for Machine Learning Startup jobs in Dallas, TX are:
Machine Learning Startup jobs near you
Infographic showing various Machine Learning Startup job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,125 per year, or $20.3 per hour.
Customer Success Manager (Public Sector & Endpoint Security) - Dallas, Texas

Customer Success Manager (Public Sector & Endpoint Security) - Dallas, Texas

Zimperium

Dallas, TX • On-site, Remote

Full-time

Posted 6 days ago

Job description

Zimperium® is an industry leader in enterprise mobile security, being the first and only company to provide a complete mobile threat defense system that offers real-time, on device world-class protection against both known and unknown next generation of advanced mobile cyberattacks and malware.
Our MTD and award-winning machine learning-based engine protects against device, network, phishing and application attacks for IOS, Android and Windows devices, using a non-intrusive approach to always protect privacy of users.
As part of our fast growing pace, we are currently looking for a Customer Success Manager. The candidate for this role will manage post-sale Customer relationships including building customer relationships, managing renewals, facilitating expansion opportunities, driving solution adoption & business value, managing escalations and achieving Customer delight. The role requires a blend of strong Customer management experience with a strong technical background.
LOCATION: Dallas, TX
RESPONSIBILITIES:
  • Account management - Proactively manage client relationships to ensure renewals, referenceability and facilitate expansion opportunities with sales teams
  • Public Sector Focus - Manage a strategic portfolio consisting of Federal Civilian/Defense agencies and State, Local, and Education (SLED) entities
  • Drive Product Adoption & Demonstrate Business Value - Drive the adoption of Zimperium's solution within the Customer's user base and assist the Customer to realize the business value
  • Product & Domain Expertise - Demonstrate strong domain & functional understanding of the solution and be a trusted advisor to the Customer. This includes basic technical skillset to understand architecture; being able to extract & interpret the underlying business data
  • Customer Satisfaction & Risk Management - Maintain a high level of customer satisfaction and be the primary interface to manage risks and escalations
  • Customer Advocacy - Gather Customer's feedback about products, their use-cases channel them effectively to drive product capabilities
  • Customer Onboarding - Assist the Customer with deployment planning, best practices deployment approach and proactive management of risks to facilitate a smooth and agile rollout of the solution

QUALIFICATIONS:
  • B.S. in Computer Science or an equivalent engineering degree
  • 5+ years of experience working with Enterprise software solutions, startup experience desirable
  • 5+ yrs experience in customer success roles, preferably with security companies, managing portfolio of large enterprise and/or Federal customers
  • Self-motivated, strong problem-solving skills with good business acumen. Domain expertise in Mobility & Security is highly desirable
  • Ability to travel

ADDITIONAL RESPONSIBILITIES
  • Collaborate effectively with internal teams - Work closely with Engineering and Product teams in different time zones to address customer issues
  • Roll up your sleeves - Learn everything about the product and how its deployed to ensure you can have in-depth quality conversations with the customer

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