ML Engineer & Lead ML Engineer Location: Dallas, TX (Hybrid) Telecom Domain needed. ML Engineer: Job Summary: Design, develop, and deploy scalable machine learning models and systems specifically ...
ML Engineer & Lead ML Engineer Location: Dallas, TX (Hybrid) Telecom Domain needed. ML Engineer: Job Summary: Design, develop, and deploy scalable machine learning models and systems specifically ...
ML Engineer
Plano, TX · On-site
Title- ML Engineer Location- Plano, TX- Fully Onsite From Day-1 Type- Contract- C2C Works Duration- 18+ Months Visa- Open Mode of Interview- F2F This role is ML Engineering with hands-on Software ...
ML Engineer
Plano, TX · On-site
Title- ML Engineer Location- Plano, TX- Fully Onsite From Day-1 Type- Contract- C2C Works Duration- 18+ Months Visa- Open Mode of Interview- F2F This role is ML Engineering with hands-on Software ...
ML Engineer Location: Remote Job Type: Contract Experience: 12+years * Client is looking for an ML Engineer with the skills mentioned below; all are mandatory * ML - Python, Any framework PyTorch ...
New
ML Engineer Location: Remote Job Type: Contract Experience: 12+years * Client is looking for an ML Engineer with the skills mentioned below; all are mandatory * ML - Python, Any framework PyTorch ...
New
Ml Engineer We are seeking an ML Engineer to join our team developing an Enterprise Generative AI SaaS solution on AWS. In this role, you will be responsible for fine-tuning foundation models, prompt ...
Ml Engineer We are seeking an ML Engineer to join our team developing an Enterprise Generative AI SaaS solution on AWS. In this role, you will be responsible for fine-tuning foundation models, prompt ...
ML Engineer North Carolina, Texas, USA Or refer someone Job Openings ML Engineer About the Job ML Engineer Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million ...
ML Engineer North Carolina, Texas, USA Or refer someone Job Openings ML Engineer About the Job ML Engineer Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million ...
ML Engineer Tampa, Florida, United States Or refer someone Job Openings ML Engineer About the Job ML Engineer Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 ...
ML Engineer Tampa, Florida, United States Or refer someone Job Openings ML Engineer About the Job ML Engineer Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 ...
ML Engineer
Plano, TX · On-site
ML Engineer Number of positions: 3 Location: Plano, TX (Onsite- Customer Site)Experience level: 5 to 8 years This role is ML Engineering with hands-on Data Engineering skills. NOTE: DE with Data ...
ML Engineer
Plano, TX · On-site
ML Engineer Number of positions: 3 Location: Plano, TX (Onsite- Customer Site)Experience level: 5 to 8 years This role is ML Engineering with hands-on Data Engineering skills. NOTE: DE with Data ...
Mach9 ML Engineer Role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system. We build models to extract 3D object and line features from dense LiDAR point ...
Mach9 ML Engineer Role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system. We build models to extract 3D object and line features from dense LiDAR point ...
ML Engineer Number of positions: 3 Location: Plano, TX (Onsite- Customer Site)Experience level: 5 to 8 years This role is ML Engineering with hands-on Data Engineering skills. NOTE: DE with Data ...
ML Engineer Number of positions: 3 Location: Plano, TX (Onsite- Customer Site)Experience level: 5 to 8 years This role is ML Engineering with hands-on Data Engineering skills. NOTE: DE with Data ...
ML Engineer At Weyerhaeuser, we sustainably manage forests and manufacture products that make the world a better place. With a commitment to excellence and innovation, we leverage technology to ...
ML Engineer At Weyerhaeuser, we sustainably manage forests and manufacture products that make the world a better place. With a commitment to excellence and innovation, we leverage technology to ...
ML Engineer Miami, Florida, United States Or refer someone Job Openings ML Engineer About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in ...
ML Engineer Miami, Florida, United States Or refer someone Job Openings ML Engineer About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in ...
ML Engineer Fort Worth, Texas, United States Or refer someone Job Openings ML Engineer About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in ...
ML Engineer Fort Worth, Texas, United States Or refer someone Job Openings ML Engineer About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in ...
ML Engineer Location: Omaha, NE Clearance Level: Active DoD Top Secret Overview: At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we ...
ML Engineer Location: Omaha, NE Clearance Level: Active DoD Top Secret Overview: At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we ...
ML Engineer
Omaha, NE · On-site
ML Engineer Location: Omaha, NE Clearance Level: Active DoD Top Secret Overview: At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we ...
ML Engineer
Omaha, NE · On-site
ML Engineer Location: Omaha, NE Clearance Level: Active DoD Top Secret Overview: At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we ...
ML Engineer
Alpharetta, GA · On-site
ML Engineer Location: Alpharetta GA (day1 onsite) We are seeking a skilled and innovative Machine Learning Engineer / Data Scientist with expertise in Google Cloud Platform (Google Cloud Platform ...
ML Engineer
Alpharetta, GA · On-site
ML Engineer Location: Alpharetta GA (day1 onsite) We are seeking a skilled and innovative Machine Learning Engineer / Data Scientist with expertise in Google Cloud Platform (Google Cloud Platform ...
ML Engineer Location: Omaha, NE Clearance Level: Active DoD Top Secret Overview: At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we ...
ML Engineer Location: Omaha, NE Clearance Level: Active DoD Top Secret Overview: At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we ...
ML Engineer
San Francisco, CA · On-site
The role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system. We build models to extract 3D object and line features from dense LiDAR point clouds and imagery.
ML Engineer
San Francisco, CA · On-site
The role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system. We build models to extract 3D object and line features from dense LiDAR point clouds and imagery.
ML Engineer
Seattle, WA · On-site
The ML Engineer will be responsible for developing, training, deploying, and operationalizing machine learning systems across Weyerhaeuser's AI portfolio, including pricing optimization, industrial ...
ML Engineer
Seattle, WA · On-site
The ML Engineer will be responsible for developing, training, deploying, and operationalizing machine learning systems across Weyerhaeuser's AI portfolio, including pricing optimization, industrial ...
ML Engineer - AI Operations Location: Morristown, NJ (100% Onsite from Day 1) Duration: 6 Months Primary Skills: Artificial Intelligence (AI), Google Data Engineering Role Overview We are seeking an ...
ML Engineer - AI Operations Location: Morristown, NJ (100% Onsite from Day 1) Duration: 6 Months Primary Skills: Artificial Intelligence (AI), Google Data Engineering Role Overview We are seeking an ...
ML Engineer
Seattle, WA · On-site
The ML Engineer will be responsible for developing, training, deploying, and operationalizing machine learning systems across Weyerhaeuser's AI portfolio, including pricing optimization, industrial ...
ML Engineer
Seattle, WA · On-site
The ML Engineer will be responsible for developing, training, deploying, and operationalizing machine learning systems across Weyerhaeuser's AI portfolio, including pricing optimization, industrial ...
Ml Engineer information
See salary details
$33K - $42.9K
7% of jobs
$42.9K - $52.8K
2% of jobs
$52.8K - $62.7K
11% of jobs
$65.9K is the 25th percentile. Wages below this are outliers.
$62.7K - $72.6K
16% of jobs
$72.6K - $82.5K
14% of jobs
The median wage is $82.9K / yr.
$82.5K - $92.5K
14% of jobs
$92.5K - $102.4K
11% of jobs
$104.1K is the 75th percentile. Wages above this are outliers.
$102.4K - $112.3K
7% of jobs
$112.3K - $122.2K
12% of jobs
$122.2K - $132.1K
4% of jobs
$132.1K - $142K
3% of jobs
$33K
$89.2K
$142K
How much do ml engineer jobs pay per year?
As of Jun 15, 2026, the average yearly pay for ml engineer in the United States is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $109,000.00 per year, depending on experience, location, and employer.
What engineers make $500,000?
Senior engineers in fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and in high-demand industries like technology and finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.
What does an ML engineer do?
An ML engineer designs, develops, and deploys machine learning models and algorithms to solve specific problems. They work with data preprocessing, model training, evaluation, and optimization, often using tools like Python, TensorFlow, or PyTorch. Their role involves integrating models into production systems and ensuring their performance and scalability.
What are the key skills and qualifications needed to thrive as an ML Engineer, and why are they important?
To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.
What is a $900,000 AI job?
A $900,000 AI job typically refers to highly senior roles such as Lead AI Engineer or AI Director, which involve overseeing large-scale AI projects, developing advanced machine learning models, and managing teams. These positions often require extensive experience, expertise in deep learning frameworks, and may include stock options or bonuses as part of compensation.
What are ML Engineers?
ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.
What is the difference between Ml Engineer vs Data Scientist?
| Aspect | ML Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworks | Bachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills |
| Work Environment | Develops, deploys, and maintains ML models in production systems | Analyzes data, builds models, and provides insights for decision-making |
| Employer & Industry Usage | Tech companies, startups, and enterprises deploying ML solutions | Research institutions, tech firms, and industries relying on data analysis |
While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.
What are some common challenges Machine Learning Engineers face when deploying models to production?
Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.
Are ML engineers still in demand?
Yes, ML engineers are currently in high demand due to the growth of artificial intelligence and data-driven applications. They are often required to have skills in programming, machine learning frameworks, and data analysis, with many opportunities across industries such as tech, finance, and healthcare.
More about Ml Engineer jobs
What cities are hiring for Ml Engineer jobs? Cities with the most Ml Engineer job openings:
What are the most commonly searched types of Ml Engineer jobs? The most popular types of Ml Engineer jobs are:
What states have the most Ml Engineer jobs? States with the most job openings for Ml Engineer jobs include:
What job categories do people searching Ml Engineer jobs look for? The top searched job categories for Ml Engineer jobs are:
Job description
ML Engineer & Lead ML Engineer
Location: Dallas, TX (Hybrid) Telecom Domain needed.
ML Engineer:
Job Summary:
Design, develop, and deploy scalable machine learning models and systems specifically addressing telecom industry challenges. Collaborate with data scientists and engineers to build robust ML solutions leveraging telecom domain knowledge (like Wireline, Wireless, NQES, Sites, Interfaces, churn prediction, real-time data processing, SINR, Video on Demand, Fixed Wireless Access (FWA), and emerging telecom trends. Ensure production-grade code quality and system reliability for large-scale data environments.
Key Responsibilities:
- Develop, test, and deploy ML models tailored for telecom use cases such as churn prediction, network optimization, SINR analysis, and QoS improvement.
- Collaborate with data scientists to translate prototypes into scalable, production-ready systems handling large-scale telecom data.
- Build and optimize data pipelines for real-time and batch processing of telecom datasets including wireline and wireless network data.
- Write clean, efficient, and maintainable code adhering to best practices and telecom-specific data compliance standards.
- Conduct code reviews and help troubleshoot model and system integration issues in telecom environments.
- Stay current with telecom trends and incorporate domain-specific knowledge into ML solutions.
Skills and Requirements:
- Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with large-scale data processing frameworks such as Spark and Hadoop, particularly for telecom datasets.
- Composer, Data Proc over GCP, Vertex.AI, BigQuery, Teradata
- Understanding H2O is a plus
- Solid understanding of telecom domain concepts: Wireline, Wireless, QES, Sites, Interfaces, churn, real-time data, FWA.
- Knowledge of containerization (Docker) and orchestration (Kubernetes) in cloud environments (AWS, GCP, Azure).
- Ability to work with streaming data platforms and real-time analytics.
- Strong problem-solving skills and collaborative mindset.
Lead ML Engineer:
Job Summary:
Lead the end-to-end design, development, and deployment of machine learning solutions addressing telecom industry challenges. Mentor engineering teams while driving integration of telecom domain expertise into ML projects focused on wireline, wireless, real-time network analysis, churn, and emerging telecom technologies.
Key Responsibilities:
- Lead ML project delivery including data collection, feature engineering, model development, and production deployment for telecom applications.
- Architect scalable ML systems optimized for processing large volumes of telecom data (sites, interfaces, NQES, SINR).
- Mentor junior engineers on ML best practices, telecom domain specifics, and large-scale system design.
- Collaborate with data scientists, product managers, and business teams to align ML projects with telecom business goals.
- Enforce coding standards, testing, and documentation in telecom ML workflows.
- Research and incorporate latest telecom trends and technologies into ML systems.
Skills and Requirements:
- Extensive experience with ML frameworks (TensorFlow, PyTorch) and distributed data platforms (Spark, Hadoop) in telecom contexts.
- Strong leadership and project management experience managing telecom-focused ML teams.
- Expertise in cloud ML services (AWS SageMaker, GCP AI Platform) and container orchestration (Kubernetes).
- Deep understanding of telecom domain concepts and ability to translate them into scalable ML architectures.
- Composer, Data Proc over GCP, Vertex.AI, BigQuery, Teradata
- Understanding H2O is a plus
About Abode TechZone
Sourced by ZipRecruiter
Abode is fast-growing staffing corporation, business growth depends on putting the right people in place — the professional talent that sets your organization apart from the competition. Abode’s vision is to provide best ever IT’s Staff Solutions services with an effective strategy which can address market fluctuations in key areas, such as time, cost, risk, flexibility, control, and expertise. We target to connect our partners with the best professional talent you need.
Industry
Recruiting and staffing services
Company size
11 - 50 Employees
Headquarters location
New York, NY, US
Year founded
2019