AI/ML Engineer
1 week ago
- Develop, train, test, and deploy machine learning models for classification, prediction, recommendation, NLP, or computer vision use cases.
- Build scalable data pipelines and model training workflows using Python and modern ML frameworks.
- Collaborate with data engineers, product managers, and software developers to deliver end-to-end AI solutions.
- Conduct data exploration, feature engineering, and model evaluation using statistical techniques and ML best practices.
- Implement MLOps practices including model versioning, monitoring, CI/CD, and automated deployment.
- Optimize models for performance, latency, and scalability in production environments.
- Work with cloud platforms (AWS/GCP/Azure) to manage compute, storage, and model-serving infrastructure.
- Document models, experiments, and processes to ensure reproducibility.
- Stay current with emerging AI/ML research, tools, and industry trends.
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
- Strong proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas.
- Experience developing ML models end-to-end including data preparation, training, and evaluation.
- Solid understanding of algorithms, statistics, and machine learning fundamentals.
- Hands-on experience with cloud ML services (AWS Sagemaker, GCP Vertex AI, Azure ML).
- Knowledge of software engineering principles: version control (Git), testing, CI/CD.
- Familiarity with MLOps tools such as MLflow, Kubeflow, or DVC.
- Ability to work with large datasets and distributed systems.
- Experience with deep learning architectures (CNNs, RNNs, Transformers).
- Knowledge of NLP, computer vision, or generative AI techniques.
- Exposure to containerization (Docker, Kubernetes).
- Experience building real-time inference systems or model APIs.
- Published work, Kaggle participation, or open-source contributions in ML/AI.
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Applied AI
1 week ago
Mountain View, CA, United States Catalyst Labs, LLC Full timeAbout the job Applied AI / ML Engineer About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI,...
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Staff / Principal AI Engineer - USA
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Mountain View, CA, United States Inworld AI Full timeAbout Inworld At Inworld, we believe that the benefits of AI should extend beyond business workflows to the applications and experiences that we enjoy every day. We began by pushing the frontier of lifelike, interactive characters for games and entertainment, pioneering realtime conversational AI at scale. Today, we apply that expertise to provide the...
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Staff / Principal AI Engineer - USA
2 weeks ago
Mountain View, CA, United States Inworld AI Full timeAbout Inworld At Inworld, we believe that the benefits of AI should extend beyond business workflows to the applications and experiences that we enjoy every day. We began by pushing the frontier of lifelike, interactive characters for games and entertainment, pioneering realtime conversational AI at scale. Today, we apply that expertise to provide the...
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Senior AI/ML Engineer
1 week ago
Mountain View, CA, United States General Motors Full timeJob Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software,...
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Mountain View, CA, United States General Motors Full timeAn industry-leading automotive company is seeking a Principal AI/ML Engineer to lead cutting-edge machine learning initiatives for autonomous vehicles. This hybrid role based in Mountain View, California requires extensive expertise in neural networks and experience in real-time onboard applications. The candidate will be responsible for driving ML...
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Mountain View, CA, United States General Motors Full timeAn industry-leading automotive company is seeking a Principal AI/ML Engineer to lead cutting-edge machine learning initiatives for autonomous vehicles. This hybrid role based in Mountain View, California requires extensive expertise in neural networks and experience in real-time onboard applications. The candidate will be responsible for driving ML...
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Mountain View, CA, United States General Motors Full timeAn industry-leading automotive company is seeking a Principal AI/ML Engineer to lead cutting-edge machine learning initiatives for autonomous vehicles. This hybrid role based in Mountain View, California requires extensive expertise in neural networks and experience in real-time onboard applications. The candidate will be responsible for driving ML...
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Mountain View, CA, United States General Motors Full timeAn industry-leading automotive company is seeking a Principal AI/ML Engineer to lead cutting-edge machine learning initiatives for autonomous vehicles. This hybrid role based in Mountain View, California requires extensive expertise in neural networks and experience in real-time onboard applications. The candidate will be responsible for driving ML...
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Mountain View, CA, United States General Motors Full timeAn industry-leading automotive company is seeking a Principal AI/ML Engineer to lead cutting-edge machine learning initiatives for autonomous vehicles. This hybrid role based in Mountain View, California requires extensive expertise in neural networks and experience in real-time onboard applications. The candidate will be responsible for driving ML...
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Mountain View, CA, United States General Motors Full timeAn industry-leading automotive company is seeking a Principal AI/ML Engineer to lead cutting-edge machine learning initiatives for autonomous vehicles. This hybrid role based in Mountain View, California requires extensive expertise in neural networks and experience in real-time onboard applications. The candidate will be responsible for driving ML...
