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Embedded software engineer Jobs in Fresno, CA
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Embedded software engineer • fresno ca
Staff Software Engineer - Machine Learning (MLOps)
CrunchbaseCalifornia, United States- Promoted
Combat Engineer
United States ArmyFresno, CA, USSoftware Engineer
TradeJobsWorkForce93715 Fresno, CA, US- Promoted
Software Engineer
VirtualVocationsFresno, California, United StatesSenior Software Engineer, Backend (Platform)
CoinbaseFresno, California, United StatesPrincipal Software Engineer
EcobeeRemote, CA- Promoted
Junior Software Engineer
SynergisticITFresno, CA, USSystem Software Engineer - RAG
NVIDIARemote, CA, USSoftware Engineer | Top Secret
GDITMugu, Point, CA, USAPrincipal / Sr. Principal Software Engineer
Northrop GrummanCamarillo, California, US | Point Mugu, California, United States of AmericaStaff Software Engineer, Game UI - Teamfight Tactics
MediabistroClovis, CA, United States- Promoted
Engineer
Vie DelFresno, CA, USSoftware Engineer
TradeJobsWorkforce93747 Fresno, CA, USSoftware Engineer
JT4Fresno, CAStaff Software Engineer
GEICOFresno, CAStaff Software Engineer, Game UI - Teamfight Tactics
Riot GamesClovis, CA, United States- Promoted
Office Engineer
Tutor PeriniFresno, CA, USApartments.com - Principal Software Engineer
CoStar GroupCA, Orange CountySoftware Cloud Architect
microTECH Global LtdCalifornia, U S A, United States- Promoted
ACCOUNTING / PAYROLL SOFTWARE SUPPORT REPRESENTATIVE
AppleOneFresno, CA, US- hospitalist (from $ 31,000 to $ 250,000 year)
- owner operator (from $ 52,000 to $ 239,433 year)
- physician (from $ 100,000 to $ 234,000 year)
- medical field (from $ 52,500 to $ 223,800 year)
- construction management (from $ 90,000 to $ 220,000 year)
- software architect (from $ 150,000 to $ 217,500 year)
- nurse practitioners (from $ 129,250 to $ 215,500 year)
- dentist (from $ 31,200 to $ 214,800 year)
- technical director (from $ 35,724 to $ 213,895 year)
- general dentist (from $ 39,000 to $ 209,750 year)
- Salem, OR (from $ 130,000 to $ 241,000 year)
- Tallahassee, FL (from $ 170,350 to $ 241,000 year)
- Baton Rouge, LA (from $ 164,200 to $ 241,000 year)
- Columbia, SC (from $ 114,713 to $ 240,825 year)
- Columbia, MO (from $ 114,713 to $ 240,825 year)
- Springfield, MA (from $ 110,000 to $ 234,400 year)
- Springfield, MO (from $ 110,000 to $ 234,400 year)
- Sacramento, CA (from $ 108,750 to $ 216,600 year)
- Seattle, WA (from $ 135,161 to $ 210,660 year)
- Sunnyvale, CA (from $ 134,500 to $ 205,300 year)
The average salary range is between $ 100,000 and $ 150,001 year , with the average salary hovering around $ 117,469 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.