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

Cotality

Senior Machine Learning Scientist

Dallas, TX · On-site

Mentor junior data scientists and machine learning engineers, providing technical guidance and driving knowledge sharing across the team. * Documentation: Create and maintain rigorous documentation ...

Cotality

Senior Machine Learning Scientist

Dallas, TX · Hybrid

Mentor junior data scientists and machine learning engineers, providing technical guidance and driving knowledge sharing across the team. * Documentation: Create and maintain rigorous documentation ...

Deloitte

Lead AI and Data Science Engineer II

Fort Worth, TX · On-site

$98K - $129K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

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All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Dallas, TX

Junior Machine Learning information

See Dallas, TX salary details

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How much do junior machine learning jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for junior machine learning in Dallas, TX is $26.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $32.84 per hour, depending on experience, location, and employer.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
What are the most commonly searched types of Machine Learning jobs in Dallas, TX? The most popular types of Machine Learning jobs in Dallas, TX are:
What are popular job titles related to Junior Machine Learning jobs in Dallas, TX? For Junior Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning jobs in Dallas, TX look for? The top searched job categories for Junior Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Junior Machine Learning jobs? Cities near Dallas, TX with the most Junior Machine Learning job openings:
Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $55,465 per year, or $26.7 per hour.

Senior Machine Learning Scientist

Cotality

Dallas, TX • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago

Job description

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.
Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.
Job Description:
The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable insights from complex data sets. This role combines deep technical expertise in machine learning with strategic thinking to drive innovation and solve challenging business problems through data-driven approaches.
Job Responsibilities:
  • Model Development: Design, develop, and implement sophisticated machine learning models and algorithms to address complex business challenges.
  • Research Leadership: Lead research initiatives to explore cutting-edge machine learning techniques and methodologies.
  • Data Analysis: Analyze large, diverse data sets to identify patterns, trends, and insights that drive business value.
  • Cross-Functional Collaboration: Partner with cross-functional teams to understand business requirements and translate them into actionable technical solutions.
  • Pipeline Engineering: Develop and optimize data processing pipelines for data preprocessing, feature engineering, model training, and evaluation.
  • Data Integration: Evaluate and integrate new data sources to continuously enhance model performance and business insights.
  • Performance Monitoring: Continuously monitor production model performance and implement technical improvements as needed.
  • Stakeholder Communication: Present complex findings, insights, and recommendations clearly to both technical and non-technical stakeholders.
  • Mentorship: Mentor junior data scientists and machine learning engineers, providing technical guidance and driving knowledge sharing across the team.
  • Documentation: Create and maintain rigorous documentation for models, methodologies, and technical processes.

Job Qualifications:
  • Education: Advanced degree (Master's or PhD) in Computer Science, Statistics, Mathematics, a related quantitative field or equivalent work experience.
  • Experience: 3+ years of relevant industry work experience.
  • Programming & Frameworks: Strong programming skills in Python and extensive experience with machine learning frameworks and libraries (e.g., PyTorch, scikit-learn).
  • Production ML: Demonstrated expertise in developing, deploying, and maintaining machine learning models in production environments.
  • Cloud & Big Data: Proven experience working with big data technologies and major cloud computing platforms (GCP, AWS, Azure).
  • Statistical Proficiency: Strong foundational understanding of statistical analysis, experimental design, and hypothesis testing.
  • Data Storytelling: Exceptional verbal, written, and listening skills with a demonstrated ability to communicate complex data insights clearly to diverse audiences.
  • Navigating Ambiguity: Excellent problem-solving skills with a proven track record of delivering results while working with ambiguous business requirements.
  • Distributed Computing: Hands-on experience with distributed computing frameworks (e.g., Apache Spark, Ray, Dask, or Hadoop) to scale machine learning workloads and process massive datasets.

#LI-Hybrid
Annual Pay Range:
111,900 - 130,000 USD
Application Window:
This opportunity is expected to remain posted through the date identified below, subject to business needs.
Thrive with Cotality
At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.
Highlights, depending on role classification, include:
  • Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
  • Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
  • Health: Multiple medical plan options with mental health and wellness support offerings.
  • Retirement: 401(k) with company match and vesting after one year.
  • Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
  • Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace.
Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.
Privacy Policy
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By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.
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