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Remote Data Scientist Deep Learning Jobs in Riverside, CA

Senior ML Engineer

Anaheim, CA ยท On-site +1

$109K - $150K/yr

Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the ... Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

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... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

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... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

New

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

New

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

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... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

New

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

New

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

New

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

New

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

New

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

New

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

New

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

New

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

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... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

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Showing results 1-20

Remote Data Scientist Deep Learning information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do remote data scientist deep learning jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote data scientist deep learning in Riverside, CA is $128,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Deep Learning, and why are they important?

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do Remote Data Scientists specializing in Deep Learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What are remote data scientists specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.
What are popular job titles related to Remote Data Scientist Deep Learning jobs in Riverside, CA? For Remote Data Scientist Deep Learning jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Deep Learning jobs in Riverside, CA look for? The top searched job categories for Remote Data Scientist Deep Learning jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Data Scientist Deep Learning jobs? Cities near Riverside, CA with the most Remote Data Scientist Deep Learning job openings:
Senior ML Engineer

Senior ML Engineer

Invoca

Anaheim, CA โ€ข On-site, Remote

$109K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Senior ML Engineer

About Invoca

Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture.

About the Team

The Data Platform team owns the full ML lifecycle at Invoca, from model training and fine-tuning through inference optimization and production APIs. We move quickly, swarm on hard problems, and care deeply about code quality, reliability, and each other's growth. Learn more on our blog or check out our open source projects.

About the Role

We're hiring a Senior ML Engineer to own the productionization layer of Invoca's ML stack โ€” model serving, inference optimization, fine-tuning, and the APIs and pipelines that tie it all together. You'll be a primary driver of the infrastructure powering our Context Engine and agentic AI workflows, working closely with Data Scientists, Data Engineers, and Applied AI Engineers.

Core Focus & Primary Ownership

  • Lead End-to-End MLOps and Productionization: Architect, implement, and maintain CI/CD pipelines for ML artifacts โ€” including model evaluation, versioning, and automated deployment. Serve as the primary SME for operational excellence across the Invoca ML stack.
  • Design and Optimize SLM/LLM Deployment: Own the full inference infrastructure: model serving on Triton Inference Server, Baseten, and Kubernetes-based GPU infrastructure. Profile and tune for low latency and high throughput, and build robust, scalable APIs for internal and external model access.

Broader Contributions

  • Fine-Tune Language Models: Apply parameter-efficient fine-tuning methods (LoRA, QLoRA, PEFT) to adapt transformer-based SLMs and LLMs for high-impact NLP applications in conversation intelligence.
  • Evolve ML Infrastructure: Contribute to model training infrastructure, data pipelines, and data lake foundations to keep the systems powering our models reliable and scalable.
  • Collaborate Across Teams: Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the foundational ML systems behind Invoca's agentic AI products.
  • Deliver Customer Value: Work with product and engineering to understand customer needs and ship ML solutions that make a measurable difference.

What You Bring

  • 5+ years of ML Engineering experience with a strong production focus
  • Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)
  • Demonstrated track record deploying and maintaining transformer-based NLP models in production
  • Hands-on experience fine-tuning SLMs/LLMs (LoRA, QLoRA, PEFT) and optimizing models via quantization, batching, and throughput tuning
  • Proficiency with inference infrastructure: Triton, Baseten, vLLM, TGI, SageMaker, Vertex AI, or similar
  • Experience building production-grade APIs that expose ML models to downstream consumers
  • Familiarity with MLOps tooling, model monitoring, and eval platforms (Braintrust, MLflow, or equivalent)
  • B.S. in Computer Science, Engineering, Statistics, or equivalent; advanced degree a plus
  • Familiarity with RLHF or preference training is a bonus

๐Ÿ“ Location This is a remote-first role. We are currently hiring in the following locations: ๐Ÿ“

United States: Greater Los Angeles Area (including Santa Barbara and San Diego) ยท SF Bay Area ยท Denver Metro ยท Austin Metro ยท Chicago Metro ยท Greater NYC Area

Canada: Toronto (AI/ML technical roles only)

Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required.

Please note that we are unable to provide initial visa sponsorship for this position.

Salary, Benefits & Perks:

At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include:

Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations.

  • Flexible Time Off โ€“ We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed.
  • Paid Holidays โ€“ Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family.
  • Health Benefits โ€“ Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included.
  • Retirement โ€“ Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
  • Stock Options โ€“ All employees are invited to share in Invoca's success through stock options.
  • Mental Health Programโ€“ Well-being support on a broad range of issues is available through our SpringHealth program.
  • Paid Family Leave โ€“ Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members.
  • Paid Medical Leave โ€“ Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs.
  • InVacation โ€“ As a thank-you to our long-term team members, we offer a bonus after 7 years of service.
  • Wellness Subsidy โ€“ We provide a subsidy that can be applied toward gym memberships, fitness classes, and more.
  • Position Base Range - Salary Range $152,000 - $228,000 USD plus bonus + equity

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