What the candidate will do As a Senior Engineer you will drive the development of high-impact ... Deep understanding of ML theory and a broad toolkit of algorithms, including deep learning ...
What the candidate will do As a Senior Engineer you will drive the development of high-impact ... Deep understanding of ML theory and a broad toolkit of algorithms, including deep learning ...
... deep learning, and reinforcement learning, to solve complex signal processing problems and field ... Assume technical lead responsibilities and mentor junior engineers to help them develop their ...
... deep learning, and reinforcement learning, to solve complex signal processing problems and field ... Assume technical lead responsibilities and mentor junior engineers to help them develop their ...
Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ... The ideal candidate will have a deep understanding of data science and machine learning tools ...
Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ... The ideal candidate will have a deep understanding of data science and machine learning tools ...
Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ... The ideal candidate will have a deep understanding of data science and machine learning tools ...
Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ... The ideal candidate will have a deep understanding of data science and machine learning tools ...
AI / LLM Engineer Artech is currently seeking to add to the position. Location: Dallas, TX Duration ... Deep Learning & Machine Learning (model training, fine-tuning, evaluation - PyTorch/TensorFlow ...
AI / LLM Engineer Artech is currently seeking to add to the position. Location: Dallas, TX Duration ... Deep Learning & Machine Learning (model training, fine-tuning, evaluation - PyTorch/TensorFlow ...
Principal Machine Learning Engineer
$291.50K - $369.10K/yr
We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Partner with executive leadership, engineering, product, and data science teams to ensure AI ...
Principal Machine Learning Engineer
$291.50K - $369.10K/yr
We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Partner with executive leadership, engineering, product, and data science teams to ensure AI ...
Senior GenAI/ML Developer
Mckinney, TX · On-site +1
... training, deep learning, fine tuning, and inferences) or/and Data Science Experience5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)Preferred ...
Senior GenAI/ML Developer
Mckinney, TX · On-site +1
... training, deep learning, fine tuning, and inferences) or/and Data Science Experience5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)Preferred ...
Senior ML Engineer
$101.20K - $138.90K/yr
... deep learning, and reinforcement learning. Experience with cloud platforms such as Google Cloud ... GCP Professional Machine Learning Engineer certification is required. Experience with version ...
Senior ML Engineer
$101.20K - $138.90K/yr
... deep learning, and reinforcement learning. Experience with cloud platforms such as Google Cloud ... GCP Professional Machine Learning Engineer certification is required. Experience with version ...
The ideal candidate will have strong expertise in machine learning algorithms, deep learning frameworks, data engineering, MLOps, cloud platforms, and production-grade AI systems. This role requires ...
New
The ideal candidate will have strong expertise in machine learning algorithms, deep learning frameworks, data engineering, MLOps, cloud platforms, and production-grade AI systems. This role requires ...
New
OUR IMPACT We are Compliance Engineering, a global team of more than 300 engineers and scientists ... Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow, PyTorch, Scikit ...
OUR IMPACT We are Compliance Engineering, a global team of more than 300 engineers and scientists ... Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow, PyTorch, Scikit ...
OUR IMPACT We are Compliance Engineering, a global team of more than 300 engineers and scientists ... Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow, PyTorch, Scikit ...
OUR IMPACT We are Compliance Engineering, a global team of more than 300 engineers and scientists ... Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow, PyTorch, Scikit ...
Machine Learning Tutor
Dallas, TX · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Dallas, TX · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Carrollton, TX · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Carrollton, TX · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Fort Worth, TX · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Fort Worth, TX · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Grand Prairie, TX · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Grand Prairie, TX · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
OUR IMPACT We are Compliance Engineering, a global team of more than 300 engineers and scientists ... Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow, PyTorch, Scikit ...
OUR IMPACT We are Compliance Engineering, a global team of more than 300 engineers and scientists ... Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow, PyTorch, Scikit ...
AI/ ML Engineer
$120K - $125K/yr
AI/ML Engineer Location: Irving, TX Salary Range: $120,000 - $125,000 a year (plus full time ... Strong grasp of deep learning architectures including CNNs, RNNs, Transformers, and multimodal ...
AI/ ML Engineer
$120K - $125K/yr
AI/ML Engineer Location: Irving, TX Salary Range: $120,000 - $125,000 a year (plus full time ... Strong grasp of deep learning architectures including CNNs, RNNs, Transformers, and multimodal ...
Machine Learning Tutor
Irving, TX · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Irving, TX · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Plano, TX · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Plano, TX · Remote
$40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Senior ML Engineer
Addison, TX · On-site
$101.20K - $138.90K/yr
... deep learning, and reinforcement learning. • Experience with cloud platforms such as Google Cloud Platform (GCP), including services like BigQuery, Cloud Storage, and AI Platform. • GCP ...
Senior ML Engineer
Addison, TX · On-site
$101.20K - $138.90K/yr
... deep learning, and reinforcement learning. • Experience with cloud platforms such as Google Cloud Platform (GCP), including services like BigQuery, Cloud Storage, and AI Platform. • GCP ...
Deep Learning Developer information
See Dallas, TX salary details
$17.83 - $20.80
2% of jobs
$20.80 - $23.76
0% of jobs
$23.76 - $26.72
0% of jobs
$26.72 - $29.68
12% of jobs
$29.68 - $32.64
11% of jobs
$32.81 is the 25th percentile. Wages below this are outliers.
$32.64 - $35.60
10% of jobs
The median wage is $38.22 / hr.
$35.60 - $38.57
18% of jobs
$38.57 - $41.53
16% of jobs
$42.73 is the 75th percentile. Wages above this are outliers.
$41.53 - $44.49
17% of jobs
$44.49 - $47.45
2% of jobs
$47.45 - $50.41
13% of jobs
$17
$38
$50
How much do deep learning developer jobs pay per hour?
As of Jun 4, 2026, the average hourly pay for deep learning developer in Dallas, TX is $38.03, according to ZipRecruiter salary data. Most workers in this role earn between $32.36 and $42.31 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Deep Learning Developer, and why are they important?
To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.
What are some common challenges Deep Learning Developers face when deploying models to production environments?
Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.
What are Deep Learning Developers?
Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.
Which 3 jobs will survive AI?
Deep Learning Developers are likely to continue to be in demand as AI advances because they design and improve AI models, requiring specialized skills in programming, mathematics, and data analysis. Other resilient roles include AI ethicists, who address ethical considerations, and AI system trainers, who curate and annotate data to improve AI performance. These jobs involve complex problem-solving and human oversight that are less easily automated.
What is the difference between Deep Learning Developer vs Machine Learning Engineer?
| Aspect | Deep Learning Developer | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, AI, or related; experience with neural networks | Bachelor's or Master's in CS, Data Science, or related; knowledge of algorithms |
| Work Environment | Research labs, AI startups, tech companies focusing on neural networks | Data-driven companies, software firms, industries applying machine learning |
| Industry Usage | Primarily in AI research, neural network development, deep learning projects | Broader application including predictive modeling, data analysis, and ML systems |
Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.
What cities near Dallas, TX are hiring for Deep Learning Developer jobs? Cities near Dallas, TX with the most Deep Learning Developer job openings:
Other
Medical, Dental, Vision, Life, Retirement
Posted 26 days ago
Uber Freight rating
7.4
Based on 19 frontline employees who took The Breakroom Quiz
Job description
Schedule: Full Time Employment
Job Type: Hybrid
Salary Type: Salary
Req #: 2536
About the Team
The Uber Freight team is building a better future for shipping. We believe that when shippers and carriers have the freedom to move together, the entire industry moves ahead. Our teams design and build innovative applications, infrastructure, and models to power Uber Freight. Utilizing Uber's foundational elements, these include the mobile app for Carriers, the portals and integrations that give Shipper's access to the platform, tools for our Operations teams, and all the underlying pricing, matching, and forecasting algorithms that evolve the freight industry forward.
What the candidate will do
As a Senior Engineer you will drive the development of high-impact solutions for Uber Freight's marketplace and operations by leveraging a deep foundation in traditional machine learning alongside emerging Generative AI applications. You will spearhead the end-to-end lifecycle of predictive models-from identifying step-change opportunities and researching advanced techniques to overseeing rapid prototyping and robust production monitoring at scale. While your primary focus will be on optimizing logistics operations and network effects through core ML, you will also guide the team in integrating GenAI and Agentic systems where they drive the most business value, collaborating with cross-functional stakeholders to deliver scalable, production-ready models that redefine efficiency.
Basic Qualifications
- At least 5+ years of Machine Learning engineering experience
- Experience deploying ML models at scale using frameworks like PyTorch, TensorFlow, Scikit-Learn, or Spark MLlib
- Experience in one or more programming languages including Python, Go or Java
- Proven experience with designing and implementing machine learning models in production environments with large data sets
- Deep understanding of ML theory and a broad toolkit of algorithms, including deep learning, instance-based learning, and traditional statistical models
Preferred Qualifications
- BS, MS or PhD degree in computer science, Data Science, ML or equivalent practical experience
- Experience with designing and implementing machine learning models in production environments applied to generative AI, applications of large language models
- Experience in stream processing--Storm, Spark, Flink etc.-- and graph processing technologies.
- Explain & communicate Algorithm choices, ML system design & concepts to leadership, technical peers & industry experts
- Strong adherence to metrics driven development, with a disciplined and analytical approach to product development.
Benefits & Compensation for U.S. Employees
Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.
About Uber Freight
Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using realtime data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com.
Candidate Privacy Notice
Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.
EEOC
Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
What Uber Freight employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Uber Freight
Sourced by ZipRecruiter
Industry
Transportation and warehousing
Company size
1,001 - 5,000 Employees
Headquarters location
Chicago, IL, US