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Machine Learning Engineer Hybrid Jobs in Berkeley, CA

Articul8

Machine Learning Engineer

Dublin, CA · On-site

We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Superhuman

Machine Learning Engineer

San Francisco, CA · On-site

$250K - $385K/yr

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team ... MS / PhD in Computer Science. * 5+ years of industry experience as a machine learning engineer or ...

S27a

Machine Learning Engineer

San Francisco, CA · On-site

$150 - $200/hr

Maintain, monitor, and enhance deployed machine learning systems to ensure continuous improvement. * Collaborate with software engineers, data scientists, and product teams to integrate AI solutions.

BigHat

Machine Learning Engineer

San Mateo, CA · On-site

$150 - $200/hr

Machine Learning Engineer Department: DS/ML (Data Science/Machine Learning) Employment Type: Full Time Location: San Mateo, CA Description The role: We are seeking a creative, ambitious Machine ...

New

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Blank Bio

Machine Learning Engineer

San Francisco, CA · On-site

The Machine Learning Engineer will be responsible for scaling models, building training infrastructure, and ensuring reproducibility across large-scale biological datasets while collaborating with ...

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Showing results 41-60

All JobsMachine Learning Engineer Hybrid JobsMachine Learning Engineer Hybrid Jobs in Berkeley, CA

Machine Learning Engineer Hybrid information

See Berkeley, CA salary details

$38.6K

$157.7K

$236.9K

How much do machine learning engineer hybrid jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning engineer hybrid in Berkeley, CA is $157,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,300.00 and $189,800.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer Hybrid vs Data Scientist?

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

What are popular job titles related to Machine Learning Engineer Hybrid jobs in Berkeley, CA?

For Machine Learning Engineer Hybrid jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Hybrid jobs in Berkeley, CA look for?

The top searched job categories for Machine Learning Engineer Hybrid jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Machine Learning Engineer Hybrid jobs?

Cities near Berkeley, CA with the most Machine Learning Engineer Hybrid job openings:

Machine Learning Engineer Hybrid jobs near you
Infographic showing various Machine Learning Engineer Hybrid job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,670 per year, or $75.8 per hour.

Machine Learning Engineer

Articul8

Dublin, CA • On-site

Full-time

Re-posted 23 days ago

Job description

About us:
At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.
Job Description:
We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data generation and data analysis. You will own all work related to acquiring high-quality data to power the training of our domain-specific models end to end. You will work closely with other researchers and engineers to empower our next generation of domain-specific models. We value rapid prototyping, iterating, and shipping new systems quickly.
Required Qualifications:
  • BS/MS/PhD in Computer Science or a related field.
  • Proficiency in at least one deep learning framework, such as PyTorch.
  • Experience in machine learning projects in text or vision, e.g., has trained machine learning models to tackle a specific problem.
  • Strong expertise in large stateful distributed systems and data processing.
  • Strong proficiency in building large-scale data processing pipelines, familiar with distributed workload (e.g., multiprocessing, Ray, Docker, Kubernetes).
  • Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code.
  • Excellent problem-solving skills and attention to detail, especially when handling data anomalies and biases to further improve data quality.

Key Competencies
  • Active Github contributions are a big plus.
  • Experience in building large-scale datasets.
  • Familiar with at least one of the following tools for data crawling (e.g. Scrapy), data collection (e.g., VPNs, Selenium), data processing (e.g., Hadoop, Datasketch).
  • Building bespoke data processing libraries from scratch.
  • Keeping up with state-of-the-art techniques for preparing AI training data.
  • Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources.
  • Multilingual which contributes to enriching the language diversity crucial for robust model training.

Responsibilities:
  • Design and develop data processing pipelines, including data extraction, data filtering, data labeling, etc.
  • Implement machine learning models to improve the quality and diversity of data (especially in the data extraction stage), e.g., quality classifier, document layout model, code verification model, etc.
  • Own and lead engineering projects in the area of data acquisition, including web crawling, data ingestion, and processing.
  • Collaborate with our Applied Research, Technology, and Architecture teams to ensure smooth data flow and system operability.
  • Develop and deploy highly scalable distributed systems capable of handling terrabytes of data.
  • Architect and implement algorithms for data indexing and search capabilities.
  • Build and maintain backend services for data storage, including work with key-value databases and synchronization.
  • Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks.

By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.
Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you.
If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

Apply