Machine Learning AI Jobs

Discover the latest remote and onsite Machine Learning AI roles across top active AI companies. Updated hourly.

Check out 35 new Machine Learning AI roles opportunities posted on The Homebase

Software Engineer Intern (Summer 2026)

New
Top rated
Together AI
Full-time
Full-time
Posted

Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art. Take advantage of the computational infrastructure of Together to create the best open models in their class. Understand and improve the full lifecycle of building open models; release and publish insights through blogs, academic papers, etc. Collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base. Stay up-to-date with the latest advancements in machine learning.

$160,000 – $230,000
Undisclosed
YEAR

(USD)

San Francisco
Maybe global
Onsite
Python
PyTorch
TensorFlow
Model Evaluation
Research

Security Engineer Intern (Summer 2026)

New
Top rated
Together AI
Full-time
Full-time
Posted

Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art; take advantage of the computational infrastructure of Together to create the best open models in their class; understand and improve the full lifecycle of building open models; release and publish insights (blogs, academic papers, etc.); collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base; stay up-to-date with the latest advancements in machine learning.

$160,000 – $230,000
Undisclosed
YEAR

(USD)

San Francisco
Maybe global
Onsite
Python
PyTorch
TensorFlow
Model Evaluation
MLOps

Product Marketing Intern (Summer 2026)

New
Top rated
Together AI
Full-time
Full-time
Posted

Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art. Take advantage of the computational infrastructure of Together to create the best open models in their class. Understand and improve the full lifecycle of building open models; release and publish your insights through blogs, academic papers, etc. Collaborate with cross-functional teams to deploy your models and make them available to a wider community and customer base. Stay up-to-date with the latest advancements in machine learning.

$160,000 – $230,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Onsite
Python
PyTorch
TensorFlow
Model Evaluation
Reinforcement Learning

Research Intern, Model Shaping (Summer 2026)

New
Top rated
Together AI
Full-time
Full-time
Posted

Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art. Take advantage of the computational infrastructure of Together to create the best open models in their class. Understand and improve the full lifecycle of building open models and release and publish insights such as blogs and academic papers. Collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base. Stay up-to-date with the latest advancements in machine learning.

$160,000 – $230,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Onsite
Python
PyTorch
TensorFlow
Model Evaluation
NLP

Research Intern RL & Post-Training Systems, Turbo (Summer 2026)

New
Top rated
Together AI
Full-time
Full-time
Posted

Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art. Take advantage of the computational infrastructure of Together to create the best open models in their class. Understand and improve the full lifecycle of building open models; release and publish insights through blogs, academic papers, etc. Collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base. Stay up-to-date with the latest advancements in machine learning.

$160,000 – $230,000
Undisclosed
YEAR

(USD)

San Francisco
Maybe global
Onsite
Python
PyTorch
TensorFlow
Model Evaluation
Machine Learning

Senior Recruiting Coordinator

New
Top rated
Together AI
Full-time
Full-time
Posted

Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art; take advantage of the computational infrastructure of Together to create the best open models in their class; understand and improve the full lifecycle of building open models; release and publish insights (blogs, academic papers, etc.); collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base; stay up-to-date with the latest advancements in machine learning.

$160,000 – $230,000
Undisclosed
YEAR

(USD)

San Francisco
Maybe global
Onsite
Model Evaluation
Python
PyTorch
TensorFlow
Reinforcement Learning

Financial Planning and Analysis Business Partner

New
Top rated
helsing
Full-time
Full-time
Posted

Undisclosed

()

London, United Kingdom
Maybe global
Hybrid
Python
C++
MLOps
Model Evaluation
Reinforcement Learning

Signal Processing Intern

New
Top rated
Zoox
Intern
Full-time
Posted

As an intern in the DSP team at Zoox, you will be working on the design and implementation of signal processing and machine learning algorithms related to radars, depth cameras, lidars, and audio subsystems. You will collaborate with a team of engineers from diverse backgrounds, working on code, algorithms, and research to create and refine key systems enabling autonomous mobility. The work involves understanding and applying concepts in digital signal processing and algorithm design for radar and lidar processing.

$6,500 – $9,500 / month
Undisclosed
MONTH

(USD)

Foster City, United States
Maybe global
Onsite
C++
Python
Signal Processing
Machine Learning

Product Marketing Manager, Sales Enablement and Competitive Intelligence

New
Top rated
Together AI
Full-time
Full-time
Posted

Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art. Take advantage of the computational infrastructure of Together to create the best open models in their class. Understand and improve the full lifecycle of building open models; release and publish insights through blogs, academic papers, etc. Collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base. Stay up-to-date with the latest advancements in machine learning.

$160,000 – $230,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Onsite
Python
PyTorch
TensorFlow
Model Evaluation
Machine Learning

Software Engineer Intern (Summer 2026)

New
Top rated
Grammarly
Intern
Full-time
Posted

As an Applied Research Scientist at Superhuman, the role involves developing state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, machine learning, and deep learning technologies. The individual will productize and ship these features into Superhuman's product offerings used by millions daily. They are expected to stay up-to-date with the latest research trends that could improve the product, contribute to the company's research strategy and technical culture, and attract professionals to build a best-in-class research team for the writing and communication assistant product.

Undisclosed

()

Berlin, Germany
Maybe global
Hybrid
Python
Deep Learning
Natural Language Processing
Generative AI
Large Language Models

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[{"question":"What are Machine Learning AI jobs?","answer":"Machine Learning AI jobs involve building, training, and deploying models that enable computers to learn from data. These roles focus on developing systems that can recognize patterns, make predictions, and automate tasks. Professionals in these positions work with frameworks like TensorFlow, PyTorch, and scikit-learn to create solutions for code generation, bug detection, predictive analytics, and personalized experiences."},{"question":"What roles commonly require Machine Learning skills?","answer":"Machine Learning skills are essential for Machine Learning Engineers who build and deploy models, Data Scientists who develop predictive analytics, and Software Developers using AI-powered code tools. Quality Assurance Specialists implement ML-driven testing systems, while DevOps Engineers automate pipelines with ML tools. Security Specialists also use these skills to identify vulnerabilities and monitor code for threats."},{"question":"What skills are typically required alongside Machine Learning?","answer":"Alongside Machine Learning expertise, professionals need natural language processing knowledge, understanding of deep learning techniques, and familiarity with frameworks like TensorFlow and PyTorch. Experience with data analysis, pattern recognition, and model evaluation is crucial. Knowledge of CI/CD pipelines and DevOps practices helps implement ML in deployment automation. Programming skills and understanding of ML deployment technologies are also essential."},{"question":"What experience level do Machine Learning AI jobs usually require?","answer":"Machine Learning AI jobs typically require varying experience levels based on role complexity. Entry-level positions often seek familiarity with ML frameworks and basic model training. Mid-level roles demand practical experience implementing ML solutions and working with specific tools like TensorFlow or PyTorch. Senior positions require deep understanding of algorithms, deployment technologies, and integration of ML into production systems."},{"question":"What is the salary range for Machine Learning AI jobs?","answer":"The research provided doesn't specify salary ranges for Machine Learning AI jobs. Compensation typically varies based on factors including experience level, specific role (ML Engineer, Data Scientist, etc.), industry sector, company size, geographical location, and specialized expertise in particular frameworks or applications. Salaries often reflect the high demand for ML skills in the current market."},{"question":"Are Machine Learning AI jobs in demand?","answer":"Yes, Machine Learning AI jobs are in high demand across industries. Organizations are actively integrating ML into software development processes. The field is described as increasingly significant as companies seek refined software solutions. ML tools are now considered essential in modern development, particularly as pre-trained models democratize AI access. The application of ML across various development stages indicates broad and growing adoption."},{"question":"What is the difference between Machine Learning and Deep Learning in AI roles?","answer":"Machine Learning is the broader field where algorithms learn from data to make decisions or predictions. Deep Learning is a specialized subset using neural networks with multiple layers to process complex patterns. In AI roles, professionals using ML might work on various algorithms for different applications, while those focusing on Deep Learning typically handle more complex tasks like image recognition or natural language processing that require neural network architecture."}]