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Senior Machine Learning Software Engineer Jobs in Dallas, TX

Intuit

Staff Machine Learning Engineer

Plano, TX

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside ... Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ...

Intuit

Staff Machine Learning Engineer

Plano, TX

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI ... Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ...

Trilogy

Senior Software Engineer

Irving, TX · On-site +1

$117.60K - $155.10K/yr

... Senior Software Engineer with strong Python expertise and a working passion for Artificial ... MACHINE LEARNING & AI • Hands-on experience with ML libraries: scikit-learn, XGBoost, LightGBM ...

Synergistic it

AI & Machine Learning Engineer

Dallas, TX

$113.70K - $136.60K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

Invictus Strategy & Solutions

Sr. ML Ops Lead

Fort Worth, TX

$98.20K - $129.40K/yr

Summary Invictus Strategy & Solutions is seeking a Senior Machine Learning Engineer and MLOps POD ... Strong foundation in software engineering best practices including version control, automated ...

Synergistic it

AI & Machine Learning Engineer

Dallas, TX

$113.70K - $136.60K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

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Senior Machine Learning Software Engineer information

See Dallas, TX salary details

$74.7K

$141.7K

$189.9K

How much do senior machine learning software engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for senior machine learning software engineer in Dallas, TX is $141,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $159,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Software Engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What are some common challenges Senior Machine Learning Software Engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.

What is a Senior Machine Learning Software Engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What is the difference between Senior Machine Learning Software Engineer vs Data Scientist?

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are popular job titles related to Senior Machine Learning Software Engineer jobs in Dallas, TX? For Senior Machine Learning Software Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Software Engineer jobs in Dallas, TX look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Senior Machine Learning Software Engineer jobs? Cities near Dallas, TX with the most Senior Machine Learning Software Engineer job openings:
Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in Dallas, TX as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $141,749 per year, or $68.1 per hour.
Senior Staff Machine Learning Engineer - IC5 (MCHLRN - Machine Learning)

Senior Staff Machine Learning Engineer - IC5 (MCHLRN - Machine Learning)

PowerSchool Group LLC

Dallas, TX • On-site

$121.20K - $159.80K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

PowerSchool rating

9.2

Company rating: 9.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

12th of 183 rated software companies

Job description

Overview
At PowerSchool, we are a dedicated team of innovators guided by our shared purpose of powering personalized education for students around the world. From the central office to the classroom to the home, PowerSchool supports the entire educational ecosystem as the global leader of cloud-based software for K-12 education. Our employees make it all possible, and a career with us means you're joining a successful team committed to engaging, empowering, and improving the K-12 education experience everywhere.
Team Overview
Our Research & Development (R&D) team is the technical talent at the heart of our product suite, overseeing the product development lifecycle from concept to delivery. From engineering to quality assurance to data science, the R&D team ensures our customers seamlessly use our products and can depend on their consistency.
This position, under the general direction of the Lead and/or Manager, Machine Learning Engineering, will be responsible for technical and development support for our award-winning K-12 software. This role will help in all AI/Generative AI/Agents products in the areas of engineering, data, deployment and infrastructure.
Responsibilities
Essential duties and responsibilities include the following. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
  • Uses Generative AI models (GPT4, Claude, Gemini), other LLMs, Agents and LangChains, CrewAI, Strands to build different AI, Agents driven intelligent solutions
  • Experience in building GenAI based solution in auto-pilot or co-pilot mode which run in production at scale
  • Experience in building Responsible AI guardrails and metrics around traditional AI or Gen AI models
  • Familiar with latest Gen AI, Agent based products and AI coding tools in the market
  • Fundamental understanding of NLP, transformer, embedding space and evaluation metrics
  • Design and implement finetuning SLMs, Core Machine learning models and data ingestion pipelines
  • Experience in dealing with "messy" enterprise data and building ETL transformations to facilitate more effective AI decision-making
  • Experience in building software products used in production
  • Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements
  • Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources
  • Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs
  • Deploy ML models in AWS environment specifically in AWS Sage Maker environment
  • Perform root cause analysis for production issues where the root cause is in infrastructure, environment, configuration, or deployment routines; understand when to escalate to product development teams; remediate root causes and implement preventative actions
  • Establish standards and practices around MLOps, including governance, compliance, and data security
  • Experience with AI or Agent driven complex ETL generation and data transformation preferred

Qualifications
To be considered for and to perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required.
  • Qualifications include:
    • You're a highly technical research engineer with a strong understanding of the latest advancements in AI, especially GenAI - LLMs and Agents
    • You have 5+ years of professional experience in software engineering, GenAI, machine learning, or applied research, with a proven ability to drive high-impact AI initiatives end to end.
    • Strong working knowledge of deep learning, machine learning and statistics
    • Some experience in complex SQLs and ETL transformations
    • Experience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2
    • Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
    • Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
    • Demonstrated ability to design, implement, and scale machine learning workflows (ML OPs); including deployment and delivery of production-ready model APIs
    • Proficiency with at least one machine learning lifecycle platform (Sagemaker, MLFlow, TensorFlow, etc.), orchestration platform (Airflow, Dagster, etc.) and data platform like SnowFlake/DataBricks
    • You have a track record of implementing cutting-edge research into robust, scalable, and well-tested code.
    • You bring a strong engineering mindset and write clean, efficient code that performs reliably in production.
    • 3+ years experience with AWS or other public cloud platforms (GCP, Azure, etc.)
    • Excellent verbal and written communication skills.
    • Experience with Infrastructure-as-Code tools and frameworks
    • Master's degree in computer science, data science, mathematics, or a related field.

Compensation & Benefits
Compensation & Benefits
PowerSchool offers the following benefits:
  • Comprehensive Insurance Coverage (including Medical, Dental, Vision, Pharmacy benefits, Life Insurance and AD&D)
  • Flexible Spending Accounts and Health Savings Accounts
  • Short-Term Disability and Long-Term Disability
  • Comprehensive 401(k) plan
  • Generous Parental Leave
  • Unrestricted paid time off (known as Discretionary Time Off - DTO)
  • Wellness Program, including ClassPass & Employee Assistance Program
  • Tuition Reimbursement
  • Optional Benefits: Pet Insurance, Identity Theft Protection, Student Debt Repayment Program and Prepaid Legal coverage

A reasonable estimate of the base compensation range for this position is $159,000 - $198,700 USD. This compensation range is specific to the United States and it incorporates many factors including but not limited to an applicant's skills and prior relevant experience and training; licensures, degrees, and certifications; internal equity; internal pay ranges; and market data/range parameters.
EEO Commitment
EEO Commitment
PowerSchool is committed to a diverse and inclusive workplace. PowerSchool is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers PowerSchoolers to deliver the best results for our customers. We not only celebrate the diversity of our workforce, we celebrate the diverse ways we work. If you have a disability and need an accommodation regarding our recruiting process, please let us know by emailing accomodations@powerschool.com.
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