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

Senior Product Manager, Integration Agents

New
Top rated
Grammarly
Full-time
Full-time
Posted

Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve the product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant.

Undisclosed

()

Warsaw
Maybe global
Hybrid
Python
NLP
Machine Learning
Deep Learning
Generative AI

MEP Manager, Data Centers

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
Machine Learning
Model Evaluation

Software Engineer, macOS Core Product - Albuquerque, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability, then design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Albuquerque, United States
Maybe global
Remote
Python
GCP
Docker
Kubernetes
CI/CD

Software Engineer, macOS Core Product - Toledo, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Toledo, United States
Maybe global
Remote
Python
GCP
Docker
Kubernetes
Machine Learning

Software Engineer, macOS Core Product - Daly City, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architectures to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Daly City, United States
Maybe global
Remote
Python
GCP
Docker
Kubernetes
Machine Learning

Software Engineer, macOS Core Product - Nagoya, Aichi Prefecture, Japan

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Nagoya, Japan
Maybe global
Remote
Python
GCP
Docker
Kubernetes
Machine Learning

Software Engineer, macOS Core Product - Barueri, Brazil

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for our AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models. Build tools to give visibility into bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Barueri, Brazil
Maybe global
Remote
Python
Docker
Kubernetes
GCP
Machine Learning

Software Engineer, macOS Core Product - San Sebastián, Spain

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to gain visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

San Sebastián, Spain
Maybe global
Remote
Python
GCP
Docker
Kubernetes
Machine Learning

Product Manager — Summer Intern

New
Top rated
Snorkel AI
Intern
Full-time
Posted

Contribute to internal research and academic collaborations by exploring and validating new ideas that may influence future publications, open-source artifacts, and product directions. Develop and evaluate new methods for data development for foundation models and enterprise AI systems, including dataset construction, augmentation, synthetic data, and evaluation. Research supervision and evaluation techniques such as rubrics and verifiable rewards. Design experiments and conduct rigorous empirical studies including ablations, benchmarks, and error analysis. Build lightweight research prototypes and tooling in Python to support internal studies. Collaborate with academic partners and internal research teams by reading papers, proposing hypotheses, and iterating rapidly.

Undisclosed

()

Redwood City or SF, United States
Maybe global
Hybrid
Python
PyTorch
NumPy
Machine Learning
Research

Revenue Operations 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 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
Maybe global
Onsite
Python
PyTorch
TensorFlow
Machine Learning
Model Evaluation

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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."}]