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Senior Machine Learning Engineer Biotech Jobs in California

As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity ...

Senior Machine Learning Engineer

San Jose, CA · On-site

$122K - $168K/yr

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning solutions, collaborating with cross-functional teams to drive product innovation and enhance user experience.

Sr Machine Learning Engineer

Irvine, CA · On-site

$110K - $152K/yr

Yum! Brands is seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms for media measurement and customer analytics. This role involves collaborating ...

New

Senior Machine Learning Engineer Imagine what you could do here! The people here at Apple don't just create products -- they build the kind of wonder that's revolutionized entire industries. It's the ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Senior Machine Learning Engineer ABOUT THE ROLE This is a hands-on, high-ownership role for ML engineers who want to build production models that actually ship, and perform under real-world ...

Senior Machine Learning Engineer ABOUT THE ROLE This is a hands-on, high-ownership role for ML engineers who want to build production models that actually ship, and perform under real-world ...

Senior Machine Learning Engineer ABOUT THE ROLE This is a hands-on, high-ownership role for ML engineers who want to build production models that actually ship, and perform under real-world ...

Senior Machine Learning Engineer ABOUT THE ROLE This is a hands-on, high-ownership role for ML engineers who want to build production models that actually ship, and perform under real-world ...

Senior Machine Learning Engineer ABOUT THE ROLE This is a hands-on, high-ownership role for ML engineers who want to build production models that actually ship, and perform under real-world ...

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Senior Machine Learning Engineer Biotech information

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

AspectSenior Machine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and deployment pipelines in biotech R&DAnalyzes data, builds statistical models, and interprets biological data
Employer & Industry UsageTech-driven biotech firms, pharma companies, research labsBiotech companies, healthcare analytics, research institutions

While both roles work with biological data, Senior Machine Learning Engineers focus on developing and deploying ML models for biotech applications, whereas Data Scientists analyze and interpret data to inform research and decision-making. The ML Engineer role emphasizes model deployment and engineering skills, while Data Scientists focus more on statistical analysis and insights.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in California? The most popular types of Machine Learning Engineer Biotech jobs in California are:
What job categories do people searching Senior Machine Learning Engineer Biotech jobs in California look for? The top searched job categories for Senior Machine Learning Engineer Biotech jobs in California are:
What cities in California are hiring for Senior Machine Learning Engineer Biotech jobs? Cities in California with the most Senior Machine Learning Engineer Biotech job openings:
Senior Machine Learning Engineer, Search & Knowledge Platforms

Senior Machine Learning Engineer, Search & Knowledge Platforms

Apple

Santa Clara, CA

$142K - $188K/yr

Other

Posted 9 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Senior Machine Learning Engineer, Search & Knowledge Platforms

Are you passionate about search technologies and building knowledge experiences? The Answers, Knowledge, and Information team is at the forefront of revolutionizing how hundreds of millions of people use their devices to obtain information. We are a world-class team of machine learning engineers who collaborate closely with product, data science, and infrastructure teams to power and enhance features across Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of the most dynamic high-performance computing environments, managing petabytes of data and millions of queries per second. As a Senior Machine Learning Engineer, you play a critical role in developing world-class search and Q&A experiences for Apple customers using cutting-edge search technologies and large language models.

As a member of our dynamic team, you will have the unique and rewarding opportunity to contribute to the development of upcoming products from Apple. Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products, including Siri, Safari, Spotlight, and more. Therefore, we are seeking candidates with a deep understanding of large-scale search technology, machine learning fundamentals, applied machine learning experience, and strong software engineering skills. As Senior Machine Learning Engineer for the Search and Knowledge Quality team, you will be responsible for developing the ranking and retrieval technologies that power question answering and search across Apple products. In this role, you will collaborate with world-renowned experts in large-scale data management, machine learning systems, and knowledge extraction, driving advancements in question answering and search, as well as the underlying ranking and retrieval technologies. This is your opportunity to shape how people obtain information by leveraging your Search and applied machine learning expertise, along with robust software engineering skills.

Responsibilities
  • Analyze search retrieval, ranking and relevance requirements, issues and opportunities
  • Design, train, and deploy machine learning models to improve search relevance and ranking.
  • Define evaluation metrics and benchmarks for search quality.
  • Collaborate with multi-functional teams including: product, design, and data engineering.
  • Find opportunity and partner with various product teams across the company to apply search technology to new product areas and use cases.
Minimum Qualifications
  • Bachelor's in Computer Science, Machine Learning, or a related field
  • 7+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
  • Strong programming skills in C/C++ or Python, and experience with ML frameworks
  • Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval
  • Excellent communication and collaboration skills
Preferred Qualifications
  • Advance degree in Computer Science, Machine Learning, or a related field
  • 5 years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
  • Familiarity with NLP/ML tools and packages like Jax, TensorFlow, pyTorch, etc.
  • Experience working with transformer-based models (e.g., BERT, T5) in a search context
  • Prior industry experience on large scale search systems
  • Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976