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Ml Jobs (NOW HIRING)

Tensec

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.

Promantus, Inc

ML Engineer

Plano, TX · On-site

$110K - $132K/yr

This role is ML Engineering with hands-on software engineering skills using Python, PySpark, and Databricks. * Strong Python, Databricks, and PySpark experience with Spark, Kafka, Snowflake, MongoDB ...

Lyra Health

Staff ML Engineer (ML/AI)

$161K - $221K/yr

About the Role We are seeking a Staff ML/AI Engineer to define and drive the architectural vision for Lyra's machine learning and generative AI technology landscape. In this role, you will serve as a ...

Mach9 Robotics Inc

ML Engineer

San Francisco, CA · On-site

$180K - $300K/yr

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.

Group1001

Staff ML Engineer

Zionsville, IN · On-site

As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production-ready: model serving, feature pipelines, experiment tracking, and CI/CD for ML. You'll help shape ...

CosQube INC

ML/AI Engineers

Santa Clara, CA · On-site

ML/AI Engineers Location: CA/Santa Clara (mostly remote with occasional meetings in the office) locals only. Mandate Skills: Primary Technologies: Python (Advanced), Machine Learning frameworks ...

Xforia, Inc.

ML engineer

Serve as domain experts in ML inference, working closely with both internal teams and external customers. * Ensure models are efficiently deployed across various platforms, including cloud and ...

GDIT

AI/ML Engineer

WV · On-site +1

No AI/ML ENGINEER SME Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As an AI/ML Engineer SME at GDIT, you'll power innovation to drive mission ...

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Design, implement, and maintain ML pipelines for training, testing, and deploying AIML models. Manage and optimize cloud-based ML infrastructure (GCP Vertex AI, AWS SageMaker, or equivalent)

Nastech Global

AI/ML Engineer

Irving, TX · On-site

AI/ML Engineer Location: Irving, TX(Onsite) Job Type: Full Time Job Title: Data Engineer -ML We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and ...

Techvilla Solutions

ML Ops Engineer

Mequon, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...

Techvilla Solutions

ML Ops Engineer

Milwaukee, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...

Techvilla Solutions

ML Ops Engineer

Germantown, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...

AgreeYa Solutions

ML Engineer

Plano, TX · On-site

ML Engineer Location: Plano, TX (onsite) Need local candidates only, F2F interview * This role is ML Engineering with hands-on Software Engineering skills using Python and Pyspark, Databricks.

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How much do ml jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ml in the United States is $30.58, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $38.46 per hour, depending on experience, location, and employer.

What is the difference between Ml vs Data Analyst?

AspectML (Machine Learning)Data Analyst
Required CredentialsBachelor's or higher in CS, Data Science, or related; often includes knowledge of programming and statisticsBachelor's in Statistics, Mathematics, or related; strong analytical and Excel skills
Work EnvironmentDeveloping models, coding, using programming languages like Python or RData cleaning, visualization, reporting using tools like Excel, Tableau
Industry UsageTech, finance, healthcare, e-commerce, where predictive models are neededBusiness intelligence, marketing, finance, where data insights inform decisions

Machine Learning (ML) specialists focus on creating algorithms and models to enable computers to learn from data, often requiring programming and statistical skills. Data Analysts interpret data, generate reports, and visualize insights to support business decisions. While both roles work with data, ML is more technical and model-driven, whereas Data Analysts focus on data interpretation and presentation.

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What are the most commonly searched types of Ml jobs?

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What states have the most Ml jobs?

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Infographic showing various Ml job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $63,611 per year, or $30.6 per hour.

Software Engineer, ML Platform (ML Training)

Foster City, CA • On-site

Zoox
Manufacturing • 1 - 5K employees
Learn more about Zooxexternal

$177K - $270K/yr

Full-time

Medical, Life, PTO

Re-posted 21 days ago

Key responsibilities

  • Build the Zoox Training framework leveraged by all ML teams within Zoox.

  • Design, implement, and operate a robust and efficient ML platform to enable the training, validation, serving, and monitoring of ML models.

  • Collaborate closely with cross-functional teams, including ML researchers, software engineers, and data engineers, to define requirements and align on architectural decisions.

Zoox rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

213th of 499 rated machine equipment manufacturers

Job description

Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible. 
 
The Opportunity
Would you like to be part of the ML Training platform team that enables autonomous driving, driving scenario understanding, learned planning and trajectories, large scale driving simulations and several other ML use cases at Zoox? You will get to work across all ML teams within Zoox -  Foundation Models, Perception, Prediction, Planner, Simulation, Data Science, Collision Avoidance, etc. and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.
 
The ML Training platform team builds and operates the core part of the ML platform that powers model training at scale. We are responsible for developing and operating ML tools, deep learning frameworks, and distributed model training infrastructure to support foundational models and reinforcement learning. This team also owns the model repository and model lifecycle management tools used by our applied research teams for in- and off-vehicle ML use cases. You will play a crucial role in reducing the time it takes from ideation to productionization of cutting-edge AI innovation. This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains.
In this role, you will:
  • Build the Zoox Training framework leveraged by all ML teams within Zoox. This framework needs to be highly scalable, reliable, and efficient.
  • Design, implement, and operate a robust and efficient ML platform to enable the training, validation, serving, and monitoring of ML models.
  • Collaborate closely with cross-functional teams, including ML researchers, software engineers, and data engineers, to define requirements and align on architectural decisions.
Qualifications
  • 2+ years of ML infrastructure experience.
  • Experience with training frameworks like PyTorch, DeepSpeed, JAX, Ray, etc.
  • Experience working with cloud providers like AWS.
Bonus Qualifications
  • Experience with building large-scale, cost-efficient distributed model training and ML compute infrastructure.
  • Experience with building model lifecycle management tools and experimentation
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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About Zoox

Sourced by ZipRecruiter

Zoox is dedicated to creating the world's first fully autonomous vehicle fleet and the necessary ecosystem to make this technology accessible. Positioned at the crossroads of robotics, machine learning, and design, Zoox strives to deliver the future of mobility-as-a-service in urban settings. We seek exceptional individuals who share our enthusiasm and are eager to join a dynamic and results-driven team.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Foster City, CA, US

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