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Embedded software engineer Jobs in Concord, NC
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Embedded software engineer • concord nc
Staff Software Engineer - Machine Learning (MLOps)
CrunchbaseNorth Carolina, United StatesMechanical Engineer
CorningConcord, NC, US- Promoted
Quality Engineer
Hendrick MotorsportsConcord, NC, USElectrical Engineer
The Perillo GroupBradfords Cross Roads, NC, US- Promoted
Entry Level Software Developer (Remote)
SynergisticITConcord, NC, US- Promoted
Chemical Engineer
DataAnnotationConcord, NC, USMES Engineer
Eli Lilly and CompanyConcord, North Carolina, United States- Promoted
MES Support Engineer
Tech DigitalConcord, NC, US- Promoted
- New!
Sr. Software Engineer- Motorsports
General MotorsConcord, NC, US- Promoted
Safety Engineer
CONCRETE STRATEGIESConcord, NC, USProcess Engineer
Quanta part of QCS StaffingNorth Carolina- Promoted
Sales Engineer - RhiKnows
Rhino Tool HouseConcord, NC, US- Promoted
Model Design Engineer
AmentumConcord, NC, USSenior Graphics Software Engineer
NVIDIARemote, NC, US(Remote) Senior Software Engineer
Harris ComputerNorth Carolina, United States- Promoted
MES Engineer
Eli LillyConcord, NC, USEngineer
Tata Consultancy ServicesConcord, NC- Promoted
Senior Structural Engineer
CDG-EAPHarrisburg, NC, US- Promoted
Application Engineer - Mechanical
Thornley Corporate SolutionsConcord, NC, USMechanical Engineer
LegrandConcord, NC, US- psychiatrist (from $ 20,000 to $ 317,606 year)
- medical transcriptionist (from $ 29,250 to $ 292,500 year)
- civil engineering (from $ 85,306 to $ 250,000 year)
- front end engineer (from $ 170,925 to $ 246,400 year)
- medical director (from $ 142,600 to $ 245,000 year)
- project management (from $ 92,000 to $ 232,000 year)
- machine learning (from $ 133,313 to $ 222,200 year)
- machine learning engineer (from $ 134,156 to $ 222,200 year)
- software engineering manager (from $ 197,796 to $ 222,200 year)
- data engineer (from $ 122,500 to $ 211,350 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 .
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Staff Software Engineer - Machine Learning (MLOps)
CrunchbaseNorth Carolina, 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.