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Machine Learning Analyst Jobs (NOW HIRING)

Givzey

Machine Learning Engineer

Design, develop, and implement machine learning models and algorithms ... Analyze large datasets and extract meaningful insights * Collaborate with cross-functional teams to ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

This person will implement and develop machine learning models to enhance our platform ... Analyze large datasets to identify trends and patterns, and use this information to inform model ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

... analytics. Responsibilities: * Build and deploy the ML pipelines that power PatternAI's machine learning platform. * Manage MLOps infrastructure to monitor and optimize models. Qualifications ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

... analytics. Responsibilities: * Build and deploy the ML pipelines that power PatternAI's machine learning platform. * Manage MLOps infrastructure to monitor and optimize models. Qualifications ...

Corning

You will partner with data scientists, analytics leaders, IT, and manufacturing teams to move ... machine learning pipelines, including data ingestion, preprocessing, training, validation ...

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How much do machine learning analyst jobs pay per year?

As of Jul 21, 2026, the average yearly pay for machine learning analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Analyst position, and why are they important?

To thrive as a Machine Learning Analyst, you need strong analytical skills, a solid grasp of statistics and programming languages such as Python or R, and typically a degree in computer science, mathematics, or a related field. Experience with machine learning frameworks like TensorFlow or scikit-learn, data visualization tools such as Tableau, and relevant certifications (e.g., Google Data Analytics) are often expected. Excellent problem-solving, collaboration, and communication abilities help you explain complex results and work effectively with cross-functional teams. Together, these skills ensure you can accurately interpret data, build robust models, and present actionable insights that drive organizational growth.

What is a Machine Learning Analyst job?

A Machine Learning Analyst is responsible for analyzing data, building models, and extracting insights using machine learning techniques. They work with large datasets, clean and preprocess data, and apply statistical methods to drive business decisions. Their role often involves collaborating with data scientists, engineers, and business teams to optimize predictive models. Strong programming skills in Python or R, knowledge of machine learning frameworks, and experience with data visualization are essential for this role.

What are typical projects or tasks a Machine Learning Analyst handles on a daily basis?

Machine Learning Analysts commonly work on tasks such as collecting, cleaning, and analyzing large datasets, developing predictive models, and interpreting results to generate actionable business insights. They may also collaborate closely with data engineers, software developers, and business stakeholders to translate business problems into data-driven solutions. Regular responsibilities include preparing data visualizations, running experiments to improve model performance, and documenting their findings for non-technical audiences. This hands-on work in a team-oriented environment ensures that their analyses directly contribute to key business decisions and continuous improvement.

Is ML a high paying job?

Machine Learning Analysts typically earn above-average salaries compared to many other roles in data science and technology, with compensation often increasing with experience, skills in programming, and knowledge of tools like Python or TensorFlow. The field is considered well-paying due to high demand for expertise in AI and data analysis across industries.

What does a machine learning analyst do?

A machine learning analyst develops and implements algorithms to analyze data and build predictive models. They work with large datasets, use programming languages like Python or R, and often utilize machine learning frameworks to extract insights and support decision-making.

Can I learn ML in 3 months?

A Machine Learning Analyst role requires a solid understanding of programming, statistics, and data analysis. While it is possible to acquire foundational knowledge in three months with intensive study and practical projects, mastering the skills typically takes longer and depends on prior experience and learning pace.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors with extensive experience and specialized skills. These positions often involve leadership, strategic decision-making, and advanced expertise in AI tools, programming languages, and large-scale data management. Compensation at this level reflects significant responsibility and industry demand for top talent in artificial intelligence and machine learning fields.
More about Machine Learning Analyst jobs
What cities are hiring for Machine Learning Analyst jobs? Cities with the most Machine Learning Analyst job openings:
What states have the most Machine Learning Analyst jobs? States with the most job openings for Machine Learning Analyst jobs include:
What job categories do people searching Machine Learning Analyst jobs look for? The top searched job categories for Machine Learning Analyst jobs are:
Machine Learning Analyst jobs near you
Infographic showing various Machine Learning Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Machine Learning Engineer

RZR Global Inc.

San Francisco, CA • On-site

Full-time

Re-posted 2 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.
Role Overview
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.
Key Responsibilities
  • 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
Required Skills / Experience
  • Bachelor's or Master's degree in Mathematics, Physics, Computer Science, or a related technical field.
  • At least 1 year 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.
Nice-to-Have
  • 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.

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