Build and maintain data pipelines to process and prepare large datasets for model training and ... Experience with machine learning techniques such as regression, classification, and clustering.
Build and maintain data pipelines to process and prepare large datasets for model training and ... Experience with machine learning techniques such as regression, classification, and clustering.
Machine Learning Engineer
Arlington, VA · On-site
This includes building pipelines for training and deploying deep learning and other machine learning algorithms and enabling models to run efficiently in production. The main data engineering work ...
Machine Learning Engineer
Arlington, VA · On-site
This includes building pipelines for training and deploying deep learning and other machine learning algorithms and enabling models to run efficiently in production. The main data engineering work ...
... training and deploying models for real-time inference with GPU/CPU constraints in mind. • ... Machine Learning, or a related field. Preferred : • Experience with the Unreal Engine toolset ...
... training and deploying models for real-time inference with GPU/CPU constraints in mind. • ... Machine Learning, or a related field. Preferred : • Experience with the Unreal Engine toolset ...
Wehave an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...
Wehave an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...
Contribute to the design of data pipelines and infrastructure for training, testing, and validating ... Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ...
Contribute to the design of data pipelines and infrastructure for training, testing, and validating ... Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ...
Machine Learning Engineer
$128K - $214K/yr
Collaborate with cross-functional teams-including data scientists, engineers, and architects-to build machine learning models, training tools, and simulation environments that support business ...
Machine Learning Engineer
$128K - $214K/yr
Collaborate with cross-functional teams-including data scientists, engineers, and architects-to build machine learning models, training tools, and simulation environments that support business ...
Machine Learning Engineer
Manhattan, NY · On-site
You'll beprovidedwith the tools, resources and training required to satisfy that curiosity and ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...
Machine Learning Engineer
Manhattan, NY · On-site
You'll beprovidedwith the tools, resources and training required to satisfy that curiosity and ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...
Machine Learning Engineer
Washington, DC · On-site +1
$130K - $200K/yr
We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... training, evaluation, deployment, and monitoring. You will work both independently and ...
Machine Learning Engineer
Washington, DC · On-site +1
$130K - $200K/yr
We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... training, evaluation, deployment, and monitoring. You will work both independently and ...
Machine Learning Engineer
Los Angeles, CA · On-site
Contribute to the design of data pipelines and infrastructure for training, testing, and validating ... Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ...
Machine Learning Engineer
Los Angeles, CA · On-site
Contribute to the design of data pipelines and infrastructure for training, testing, and validating ... Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
... training, alongside world-class researchers, data scientists, and engineers, tackling the most ... The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
... training, alongside world-class researchers, data scientists, and engineers, tackling the most ... The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary ...
Machine Learning Engineer
OR · Remote
$100K - $200K/yr
Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ... Experience in training Large Language Models. * Web development experience or willingness to ...
Quick apply
Machine Learning Engineer
OR · Remote
$100K - $200K/yr
Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ... Experience in training Large Language Models. * Web development experience or willingness to ...
... training and deploying models for real-time inference with GPU/CPU constraints in mind. • ... Machine Learning, or a related field. Preferred : • Experience with the Unreal Engine toolset ...
... training and deploying models for real-time inference with GPU/CPU constraints in mind. • ... Machine Learning, or a related field. Preferred : • Experience with the Unreal Engine toolset ...
Machine Learning Engineer
Los Angeles, CA · On-site
... training, inference, labeling, and evaluation • Judiciously combine open-source solutions and ... Machine Learning, including ownership of projects throughout the entire ML Lifecycle • ...
Machine Learning Engineer
Los Angeles, CA · On-site
... training, inference, labeling, and evaluation • Judiciously combine open-source solutions and ... Machine Learning, including ownership of projects throughout the entire ML Lifecycle • ...
Lead Machine Learning Engineer
Los Angeles, CA · Remote
$225K - $260K/yr
By optimizing distributed training pipelines, neural network architectures, and data processing ... Hands-on experience training machine learning models across multiple GPUs or compute nodes ...
Quick apply
Lead Machine Learning Engineer
Los Angeles, CA · Remote
$225K - $260K/yr
By optimizing distributed training pipelines, neural network architectures, and data processing ... Hands-on experience training machine learning models across multiple GPUs or compute nodes ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
Machine Learning Engineer
Manhattan, NY · On-site
... training, inference, and model lifecycle management. • Work with large, complex datasets to ... machine learning engineering, applied ML, or related software engineering roles. • Strong ...
Machine Learning Engineer
Manhattan, NY · On-site
... training, inference, and model lifecycle management. • Work with large, complex datasets to ... machine learning engineering, applied ML, or related software engineering roles. • Strong ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
Machine Learning Engineer
Washington, DC · On-site
$130K - $200K/yr
Experience training, fine-tuning, evaluating, and deploying machine learning models in production ... environments. * Experience designing evaluation methodologies, benchmarking systems, and model ...
Machine Learning Engineer
Washington, DC · On-site
$130K - $200K/yr
Experience training, fine-tuning, evaluating, and deploying machine learning models in production ... environments. * Experience designing evaluation methodologies, benchmarking systems, and model ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be ... training, creating reusable AI/ML artifacts, and working with team members to prototype new ...
Machine Learning Engineer
Allen Park, MI · On-site
Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... A comprehensive training package and transfer-of-ownership document for our internal engineering ...
Machine Learning Engineer
Allen Park, MI · On-site
Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... A comprehensive training package and transfer-of-ownership document for our internal engineering ...
Machine Learning Trainer information
See salary details
$28K - $35.7K
7% of jobs
$35.7K - $43.4K
6% of jobs
$43.4K - $51K
6% of jobs
$57.1K is the 25th percentile. Wages below this are outliers.
$51K - $58.7K
6% of jobs
$58.7K - $66.4K
7% of jobs
$66.4K - $74.1K
5% of jobs
$74.1K - $81.8K
4% of jobs
$81.8K - $89.5K
2% of jobs
$89.5K - $97.1K
1% of jobs
$97.1K - $104.8K
3% of jobs
The median wage is $104.9K / yr.
$104.8K - $112.5K
51% of jobs
$28K
$87.3K
$112.5K
How much do machine learning trainer jobs pay per year?
What are the typical challenges faced by a Machine Learning Trainer in the workplace?
Machine Learning Trainers often encounter the challenge of explaining complex algorithms and abstract mathematical concepts to learners with varying levels of expertise. Adapting course materials to suit different learning styles and staying current with the latest advancements in machine learning require continuous self-development. Trainers may also need to collaborate closely with data scientists, engineers, and curriculum developers to ensure their training aligns with real-world applications. Overcoming these challenges not only enhances teaching effectiveness but also contributes to the overall growth of both trainers and their learners.
What are the key skills and qualifications needed to thrive in the Machine Learning Trainer position, and why are they important?
To thrive as a Machine Learning Trainer, you need a solid background in computer science, statistics, and machine learning concepts, often supported by relevant academic degrees and industry experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and certifications like TensorFlow Developer or AWS Machine Learning are valuable assets. Excellent communication, patience, and adaptability allow trainers to effectively convey complex concepts to diverse learners. These skills ensure effective teaching, learner engagement, and successful knowledge transfer in a rapidly evolving technological landscape.
What is a Machine Learning Trainer job?
A Machine Learning Trainer is responsible for preparing and curating datasets, fine-tuning machine learning models, and optimizing algorithms for accuracy and efficiency. They work closely with data scientists and engineers to improve model performance and ensure high-quality training data. This role involves tasks like labeling data, selecting features, and implementing preprocessing techniques. Additionally, they may develop training methodologies and evaluate models using various metrics to enhance their effectiveness.
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Other
Posted 5 days ago
Job description
Who are we?
RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.
The role?
We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.
What will you do?- Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.
- Collaborate with senior data scientists and cross-functional teams (product, engineering, and analytics) to integrate models into production workflows.
- Analyze the impact of integrating new data sources and features into our models.
- Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.
- Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.
- Document experiments, assumptions, and outcomes; maintain reproducibility
- Bachelor's degree in Mathematics, Physics, Computer Science, or a related technical field.
- At least 2 years of professional experience in machine learning, statistical analysis, and data analysis.
- Experience with machine learning techniques such as regression, classification, and clustering.
- Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Strong grasp of probability, statistics, and data analysis principles.
- Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.
- Familiarity with system programming languages including C++ and Rust is a plus.
- Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)
- Ad-tech familiarity: auction dynamics, pacing, fraud signals, creative personalization.