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Director Graduate Machine Learning Jobs (NOW HIRING)

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting ...

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL · On-site

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site

$143K - $214K/yr

This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems. You'll help build and ...

Unitytech

Machine Learning Engineer

San Francisco, CA · On-site

$143K - $214K/yr

This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems. You'll help build and ...

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site

$143K - $214K/yr

This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems. You'll help build and ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering Preferred Qualifications PhD or Graduate degree with research ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering Preferred Qualifications PhD or Graduate degree with research ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering Preferred Qualifications PhD or Graduate degree with research ...

Willing Tech

Machine Learning Engineer

San Francisco, CA · On-site +1

$172K - $384K/yr

Base pay range $200,000.00/yr - $300,000.00/yr Direct message the job poster from Willing Tech Machine Learning Engineer - Scientific Visualisation Platform Location: Remote (US/Canada) Sector:

Motorola

Machine Learning Engineer

Los Angeles, CA

THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

Desired Qualifications * 0-4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing-or a strong recent graduate with demonstrated ...

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Director Graduate Machine Learning information

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$60K

$103.7K

$163.5K

How much do director graduate machine learning jobs pay per year?

As of Jul 10, 2026, the average yearly pay for director graduate machine learning in the United States is $103,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What is the difference between Director Graduate Machine Learning vs Data Scientist?

AspectDirector Graduate Machine LearningData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), strong machine learning backgroundTypically Bachelor's or Master's, focus on data analysis and modeling
Work EnvironmentLeadership role, strategic planning, overseeing teamsHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, research institutions, large enterprisesVariety of industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in MLData analysis and modeling skills

The main difference is that a Director Graduate Machine Learning typically holds a leadership position overseeing ML teams and strategy, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on hands-on data analysis, modeling, and experimentation without necessarily managing teams or setting strategic direction.

What cities are hiring for Director Graduate Machine Learning jobs? Cities with the most Director Graduate Machine Learning job openings:
What are the most commonly searched types of Graduate Machine Learning jobs? The most popular types of Graduate Machine Learning jobs are:
What states have the most Director Graduate Machine Learning jobs? States with the most job openings for Director Graduate Machine Learning jobs include:
Director Graduate Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

Winaxis

Fremont, CA • On-site

Contractor

Posted 22 days ago

Job description

Title: Machine Learning Engineer

Location: Fremont, CA (Local) Onsite interview

Duration: 12+ Mos  

H1B

Only h1 candidate

About the Role:

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting factory and warehouse operations. You will transform ambiguous problem statements into robust end-to-end solutions using a variety of machine learning techniques and tools, including supervised learning, convolutional neural networks, and modern frameworks such as PyTorch and Pandas.

You will collaborate closely with partners in production, process, controls, and quality to deliver solutions for the most challenging problems in our operations. Your work will involve evaluating and deploying models in production environments, ensuring rapid and reliable alerting systems, and addressing operational issues as they arise. You must be adept at handling diverse, heterogeneous datasets that span multiple modalities, including images, multi-spectral sensor outputs, voice, text, and tabular data.

Responsibilities

Design, develop, and deploy machine learning models for factory and warehouse environments.

Collaborate with cross-functional teams to identify, define, and solve high-impact operational challenges.

Build and maintain end-to-end machine learning pipelines, from data collection and preprocessing to model deployment and monitoring.

Evaluate and compare models using statistical methods to ensure optimal performance and feasibility.

Ensure robust alerting and monitoring systems are in place for deployed models to address issues rapidly.

Work with diverse datasets, integrating multiple data types such as images, sensor data, voice, text, and tabular information.

Write clean, modular, and sustainable code to translate research ideas into production-ready solutions.

Minimum Requirements

In-depth knowledge of Python for high-performance, data-intensive applications.

Proficiency with at least one modern deep learning framework (e.g., PyTorch, Jax, TensorFlow).

Expertise in one or more of the following areas: computer vision, large language models, recommender systems, or operations research.

Foundational knowledge of statistics for model comparison and performance assessment.

Real-world experience deploying and maintaining machine learning solutions in production environments.

Passion for clean, sustainable, and modular code to bring research concepts to practical implementation.

Preferred Qualifications

Experience working in manufacturing, industrial automation, or warehouse environments.

Familiarity with multi-modal data integration and analysis.

Strong problem-solving skills and the ability to thrive in ambiguous, fast-paced settings.

Excellent communication skills for cross-functional teamwork.