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No Experience Machine Learning Jobs (NOW HIRING)

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine Learning Engineer to apply advanced analytical, statistical, and software engineering expertise to ...

We are seeking an experienced Machine Learning Engineer / NLP Engineer to develop intelligent document understanding solutions powered by modern natural language processing (NLP) and large language ...

Machine Learning Engineer

Addison, TX ยท On-site +1

$110K - $130K/yr

Employee Assistance Program - confidential support for personal or professional challenges, at no ... experience Perform data cleansing, analysis, and feature engineering using Python Ability to work ...

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

Experience in other programming languages (eg. Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience ...

Experience in other programming languages (eg. Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience ...

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

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How much do no experience machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for no experience machine learning in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the no experience machine learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

Can you get a machine learning job with no experience?

Entry-level machine learning roles often require some knowledge of programming, statistics, and data analysis, but many employers are willing to hire candidates with little to no experience if they demonstrate strong foundational skills and a willingness to learn. Building a portfolio through online courses, projects, and certifications can improve chances of securing such positions. Internships and apprenticeships are also common pathways for those new to the field.
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Infographic showing various No Experience Machine Learning job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 18% Contract, and 6% Nights. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Machine Learning Engineer

Avride

Austin, TX โ€ข On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and optimizing machine learning models, managing large-scale datasets, and collaborating with cross-functional teams to integrate solutions into real-world applications.
Responsibilities:
โ€ข Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness. This may include developing models for understanding a self-driving vehicleโ€™s surroundings or predicting the intentions of other road users.
โ€ข Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation.
โ€ข Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring.
โ€ข Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
โ€ข Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance.
โ€ข Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems.
Qualifications:
Required:
โ€ข Strong understanding of fundamental machine learning algorithms and neural network techniques.
โ€ข Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI.
โ€ข At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment.
โ€ข Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
โ€ข Working knowledge of C++ and SQL.
โ€ข Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation.
โ€ข Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results.
Preferred:
โ€ข Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
โ€ข Experience developing ML algorithms for autonomous vehicles or robotics applications.
โ€ข Familiarity with neural network deployment and optimization tools such as triton, TensorRT, or similar frameworks.
โ€ข Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently.
โ€ข Experience working in cross-functional teams within a multidisciplinary environment.
โ€ข Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects.
Company:
Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.