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Machine learning • fairfield ca
Staff Software Engineer - Machine Learning (MLOps)
CrunchbaseCalifornia, United StatesArtificial Intelligence and Machine Learning Intern
Schneider ElectricCalifornia, CA, USLIFELONG LEARNING
Santa Rosa Junior CollegeSonoma County, CASenior Machine Learning Engineer, Financial Crimes (Cash App)
SquareRemote, CA, USProfessional Learning Consultant
FrameworkCalifornia, United StatesDeep Learning Compiler Engineer - MLIR
NVIDIARemote, CA, USLead Teacher
Learning Care GroupVacaville, CA, USDigital Learning Executive
WileyCalifornia, USAMolding Machine Technician II
FactoryFixFairfield, CAStaff Machine Learning Engineer
AngiCaliforniaMolding Machine Technician II
Express Employment - Fairfield, CAFairfield, CA, USEarly Learning Center Food Program Assistant 6 hours per day-11 months
Solano Community CollegeFairfield, CA, US- Promoted
Molding Machine Technician II
EEP Manufacturing - FairfieldFairfield, CA, USEarly Learning Paraprofessional : Browns Valley Job No. 26-3050
Vacaville Unified School DistrictVacaville, California, USDish Machine Operator
American Meals Inc.Vacaville, CA, USExpanded Learning After School Programs
RIVERSIDE UNIFIED SCHOOL DISTRICTRiverside County, CA, USBoard Certified Behavior Analyst - Vacaville, CA
AGES Learning SolutionsVacaville, CA, US- New!
Cnc Machine Operator
AerotekBenicia,CA,94510,USAGeneral Math Teacher
Sylvan Learning CenterFairfield, CA, USThe average salary range is between $ 151,875 and $ 227,500 year , with the average salary hovering around $ 225,000 year .
- nurse anesthetist (from $ 135,000 to $ 245,000 year)
- corporate strategy (from $ 155,000 to $ 245,000 year)
- clinical director (from $ 115,000 to $ 240,850 year)
- materials engineer (from $ 58,500 to $ 232,900 year)
- psychiatrist (from $ 30,000 to $ 231,000 year)
- medical liaison (from $ 170,200 to $ 228,000 year)
- machine learning (from $ 151,875 to $ 227,500 year)
- chief information officer (from $ 161,583 to $ 225,000 year)
- director of business development (from $ 135,000 to $ 225,000 year)
- real estate development (from $ 60,000 to $ 225,000 year)
- Grand Rapids, MI (from $ 177,531 to $ 240,706 year)
- Lansing, MI (from $ 109,700 to $ 240,100 year)
- Simi Valley, CA (from $ 136,688 to $ 235,450 year)
- Spokane Valley, WA (from $ 135,458 to $ 234,943 year)
- Charleston, SC (from $ 112,230 to $ 233,350 year)
- Chula Vista, CA (from $ 174,990 to $ 229,500 year)
- Fairfield, CA (from $ 151,875 to $ 227,500 year)
- Sunnyvale, CA (from $ 150,000 to $ 225,000 year)
- Hampton, VA (from $ 107,500 to $ 225,000 year)
- Wichita Falls, TX (from $ 145,250 to $ 223,751 year)
The average salary range is between $ 115,000 and $ 195,008 year , with the average salary hovering around $ 146,288 year .
Related searches
Staff Software Engineer - Machine Learning (MLOps)
CrunchbaseCalifornia, United States- Full-time
About Crunchbase
Crunchbase helps over 75 million people around the world connect with the companies and people that matter. Powered by best-in-class proprietary data, Crunchbase is democratizing access to opportunities so salespeople, entrepreneurs, investors, job seekers, and others can accelerate innovation for a better future. We’re proud to build intelligent products that shape how companies and people connect and enable them to communicate in a more meaningful way.
We are committed to a positive, diverse, and inclusive culture by hiring for potential, focused on the inclusion of people who have different ways of thinking, different viewpoints, different backgrounds, and different skill sets. We value a transparent and open culture that positively impacts our teams and our products.
Crunchbase has a remote-first approach, and is open to hiring in residents of these states :
California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, and Washington
Our inclusive remote-first culture, generous PTO policies, competitive pay, and employee wellness benefits set us apart!
About Crunchbase
Crunchbase helps over 70 million people around the world connect with the companies and people that matter. We are democratizing access to opportunities so that entrepreneurs, investors, job seekers, salespeople, and others can accelerate innovation for a better future. We are proud to build products that are shaping how companies and people connect, using our intelligence and data to help them communicate in a more meaningful way with one another.
We are committed to a positive, diverse, and inclusive culture by hiring for potential, focused on the inclusion of people who have different ways of thinking, different viewpoints, different backgrounds, and different skill sets. We value a transparent and open culture that positively impacts our teams and our products.
Crunchbase has a remote-first approach, and is open to hiring in these locations :
Atlanta, Austin, Boston, Chicago, Denver, Las Vegas, Los Angeles, Miami, New York, Philadelphia, Portland, Raleigh, San Francisco, and Seattle
Machine Learning at Crunchbase
At Crunchbase, we have Machine Learning Engineers in different teams including the Personalization team and the Graph team. Machine Learning engineers work on an array of challenges from creating features with personalized relevant information throughout the our users’ experience on Crunchbase to automatically understanding data and structuring it into our knowledge graph. The Data Science and Machine Learning guild is thriving to enable us to deploy Machine Learning algorithms with data from many different sources including our own platform, and user behavioral data, we learn our users’ journey and build a personalized experience that is unique to each user.
What You'll Do :
We are hiring a hands-on Staff Machine Learning Engineer. The ideal candidate is passionate about not only data and what it can teach us, but also about our users and how to drive an experience that helps them engage with and better utilize our data.
Help drive the Machine Learning at Crunchbase to the next level. Develop and support Data Science modelling in production. Implement, deploy, test and evaluate the impact of services that drive features which impact our users experience. Help establish processes and best practices to help grow the Data Science and Machine Learning guild and contribute to defining and enhancing our machine learning platform capabilities from the ground up.
What We're Looking For :
- You have an advanced degree in a quantitative discipline and have strong Python foundations.
- You have 5+ years of proven industry experience.
- You hold a high bar on code quality and enjoy building systems and tools that can be used by others.
- You are an excellent communicator and able to explain complex issues to stakeholders in simple terms.
- You have hands-on experience in shipping machine learning-based projects in production.
- You are excited and interested in production systems and enabling LLMs and other MLs models.
- Dealing with large amounts of data on a daily basis is a plus.
- You care about being agile, cross teams collaborations, and data-driven development and evaluation.
- You are a big believer in the Build-Measure-Learn methodology.
You may also be entitled to receive equity and benefits.Salary Range$200,000—$220,000 USD
What Crunchbase Offers :
At Crunchbase, we value team members who are passionate and enthusiastic about what we're building here. We believe there is no "perfect" candidate, and want to encourage applying even if all the requirements listed aren’t met. If you're passionate about Crunchbase and looking to learn and grow, then we look forward to reviewing your application! Crunchbase does not discriminate on the basis of race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender expression, age, height, weight, veteran status, military obligations, or marital status. We will consider for employment qualified applicants with arrest and conviction records. Every day our team is honored to work with entrepreneurs and innovators from every corner of the globe, and we aim to build a team that reflects the diversity of our customers. Each individual at Crunchbase brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides a better service to its customers, and helps us all grow and learn as individuals.