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Ai Agent Machine Learning Engineer Jobs in California

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

$175K - $275K/yr

About Abaka AI Abaka AI is built on one mission: to be the world's most trusted data partner for AI ... About the Role We're hiring our first Machine Learning Engineer in the United States, a ...

Tapestry

Machine Learning Engineer

Mountain View, CA

About Tapestry Tapestry is a group within Google working to build the AI-powered electric grid. We ... About the role: We're looking for an early career Machine Learning Engineer to join our team. In ...

Proofpoint

Machine Learning Engineer

Sunnyvale, CA · On-site

... and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email ... Machine Learning Engineer Location : Sunnyvale, CA, USA, Hyderabad, A.P., India , Athens, Greece ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About Tapestry Tapestry is a group within Google working to build the AI-powered electric grid. We ... About the role: We're looking for an early career Machine Learning Engineer to join our team. In ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning Engineer to translate cutting-edge research into scalable, production-ready solutions. The role ...

Unitytech

Senior Machine Learning Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

We're looking for a Senior Machine Learning Engineer to lead the development of these foundational ... Design, implement, and scale AI agent systems in Unity environments that enable goal-directed ...

6sense

Sr. Machine Learning Engineer

San Francisco, CA · Remote

$200K - $260K/yr

We turn every signal - yours and ours - into intelligence that every team, tool, and AI agent can ... The Opportunity We're hiring a Senior Machine Learning Engineer to join our AI team, reporting ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

Nace AI is a company focused on leveraging machine learning to drive product value. They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

Goodfire is an AI interpretability research company focused on understanding and designing AI systems that people can trust. The Machine Learning Engineer will play a central role in building the ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

Goodfire is a research company focused on understanding and designing AI systems. They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying ...

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Machine Learning Engineer

Mountain View, CA • On-site

Abaka AI
See more jobs at Abaka AIexternal

$175K - $275K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 8 days ago

Key responsibilities

  • Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.

  • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.

  • Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.

Job description

About Abaka AI
Abaka AI is built on one mission: to be the world's most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley-and teams in Paris, Singapore, and Tokyo-we support global partners with fast, reliable, and scalable data solutions.
Our offerings include a diverse catalog of off-the-shelf datasets (image, video, multimodal, reasoning, 3D, and beyond) as well as comprehensive data collection and annotation services. Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems.
About the Role
We're hiring our first Machine Learning Engineer in the United States, a foundational role that will shape how Abaka builds, trains, and optimizes multimodal AI systems. You will own the design and development of scalable training pipelines, work directly with our data engineering and research teams, and help drive the technical roadmap for model development across multiple modalities.
As an early member of the engineering team, you will influence core decisions around model training strategy, experimentation frameworks, distributed infrastructure, and internal best practices. Your work will directly impact the performance of frontier models trained on Abaka datasets and will help elevate the technical bar for our clients and partners.
If you thrive in high-ownership environments and want to shape the machine learning foundation of a fast-moving AI company, this role offers an opportunity to make an immediate and lasting impact.
Responsibilities
  • Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.
  • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
  • Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
  • Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
  • Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
  • Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
  • Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.

Qualifications
  • Strong academic background in computer science, artificial intelligence, machine learning, or related fields. Master's degree or Ph.D. is preferred.
  • 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
  • Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
  • Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
  • Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
  • Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
  • Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
  • Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.

Compensation & Benefits
The base salary range for this position is $175,000 - $275,000 USD annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Abaka AI. This role is eligible for equity, as well as a comprehensive benefits package (health, dental, vision, PTO, flexible work schedule).

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