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Remote Deep Learning Engineer Jobs in Santa Clara, CA

Otter.ai

Machine Learning Engineer

Mountain View, CA · On-site +1

$196K - $221K/yr

As a Machine Learning Engineer, you'll bring your strong software engineering mindset to machine ... Has deep, hands-on experience building and fine-tuning large language or foundation models, with ...

Otter.ai

Senior Machine Learning Engineer

Mountain View, CA · On-site +1

$230K - $265K/yr

As a Senior Machine Learning Engineer, you'll bring your strong software engineering mindset to ... Has deep, hands-on experience building and fine-tuning large language or foundation models, with ...

Walmart

Staff, Data Scientist (Pricing)

Sunnyvale, CA · On-site +1

Deep Learning: Modern architectures for demand sensing and price-response curves; Uncertainty ... Partner with Product, Business, and Engineering to set technical direction and mentor the next ...

ServiceNow

Staff Machine Learning Engineer

Santa Clara, CA · On-site +1

$176K - $308K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

ServiceNow

Staff Machine Learning Engineer

Santa Clara, CA · On-site +1

$176K - $308K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

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Showing results 21-40

All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Santa Clara, CA

Remote Deep Learning Engineer information

See Santa Clara, CA salary details

$12.9K

$98.5K

$164.4K

How much do remote deep learning engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote deep learning engineer in Santa Clara, CA is $98,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $163,200.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What are the key skills and qualifications needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do remote deep learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What are the most commonly searched types of Deep Learning Engineer jobs in Santa Clara, CA?

The most popular types of Deep Learning Engineer jobs in Santa Clara, CA are:

What are popular job titles related to Remote Deep Learning Engineer jobs in Santa Clara, CA?

For Remote Deep Learning Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Deep Learning Engineer jobs in Santa Clara, CA look for?

The top searched job categories for Remote Deep Learning Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Deep Learning Engineer jobs?

Cities near Santa Clara, CA with the most Remote Deep Learning Engineer job openings:

Remote Deep Learning Engineer jobs near you

Machine Learning Engineer

Otter.ai

Mountain View, CA • On-site, Remote

$196K - $221K/yr

Full-time

Re-posted 7 days ago

Job description

The Opportunity
Do you want to lead projects to build and deploy cutting-edge AI technology to help people get unparalleled value from meetings and conversations? Join our core AI team responsible for ML and work alongside industry-veteran scientists and engineers. As a Machine Learning Engineer, you'll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems-creating and transforming innovative research into production-ready features that power Otter's summarization and conversational intelligence products.

Your Impact

  • Architect, build, and evolve large-scale SID / ASR / NLP / LLM systems that power mission-critical product experiences including summarization, chat, and speech understanding across millions of conversations.
  • Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, making principled trade-offs across quality, latency, cost, and reliability.
  • Design and improve model architectures, loss functions, decoding strategies, and training techniques for speech and language models, informed by both research and production constraints.
  • Own end-to-end ML system lifecycles, from research prototyping through production deployment, monitoring, iteration, and long-term maintenance.
  • Partner deeply with product, and infrastructure teams to develop and translate cutting-edge research into scalable, production-grade systems that deliver measurable user and business impact.
  • Drive system-level improvements in model performance, robustness, observability, and operational excellence using real-world conversational data at scale.
  • Set technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment workflows in a cloud environment.
  • Identify and resolve complex, ambiguous problems in model behavior, data quality, scaling, and system interactions, often before they surface as user-visible issues.

We're Looking for Someone Who

  • Holds a Bachelor's or Master's degree in Computer Science or a related field with 2+ years of relevant industry experience; PhD is preferred.
  • Has deep, hands-on experience building and fine-tuning large language or foundation models, with production experience in ASR, TTS, multimodal, or modern LLM/NLP systems.
  • Demonstrates strong command of modern ML research, with the ability to critically evaluate new papers and drive innovation by identifying what is production-worthy versus experimental.
  • Has experience deploying, scaling, monitoring, and operating ML systems in production across training, inference, and serving infrastructure.
  • Is comfortable working with large-scale speech and conversational datasets, including data preprocessing, augmentation, quality analysis, and labeling strategies to support model training and evaluation.
  • Can lead technical projects independently, driving clarity in ambiguous problem spaces and making sound architectural decisions.
  • Has experience with or strong interest in agentic systems, tool-use frameworks, or multi-model orchestration.
About Otter.ai

We are in the business of shaping the future of work. Our mission is to make conversations more valuable.

With over 1B meetings transcribed, Otter.ai is the world's leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.

Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity.

*Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

Salary range

Salary Range: $196,000 to $221,000 USD per year.

This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package.
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