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Machine learning Jobs in Newark, NJ
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Machine learning • newark nj
Machine Learning Engineer
Tiger AnalyticsJersey City, New Jersey, United StatesMachine Learning Engineer
SpotifyNew York, NYManager, Machine Learning Engineering
Colgate-Palmolive CompanyNew York, NY, USSr Machine Learning Engineer - Personalization
Disney Entertainment and ESPN Product & TechnologyNew York, New York, United StatesMachine Learning Specialist
Applied PhysicsNew York, NY, USPrincipal Machine Learning Engineer
S&P GlobalNew York, NY, USSenior Machine Learning Engineer
CVS HealthNew York, NY, USSenior Machine Learning (ML) Engineer
Dyania HealthJersey City, NJ, USMachine Learning Engineer
JPMorgan Chase Bank, N.A.New York, NY, USDirector, Machine Learning Engineering
PayPalUSA, New York, New York City, Corp, Barrow St- Promoted
Director, Machine Learning (Remote)
Quest Diagnostics IncorporatedSecaucus, NJ, United StatesMachine Learning Engineer - Internship
EX VentureNew York, New York, United StatesMachine Learning Engineer
Seven Seven SoftwaresNewark, NJ, US- Promoted
Postdoctoral Associate - Machine Learning
New York UniversityNew York, NY, United StatesMachine Learning Engineer
Pelham Berkeley SearchJersey City, NJ, US- Promoted
Director, Machine Learning Science
The Knot WorldwideNew York, NY, United StatesMachine Learning Engineer / AI Engineer
Mai PlacementNewark, NJ, United StatesHead of Machine Learning
PRAGMATIKEJersey City, NJ, USALead Machine Learning Engineer
Disney Entertainment TelevisionNew York, New York, États-UnisThe average salary range is between $ 155,188 and $ 211,350 year , with the average salary hovering around $ 173,350 year .
- communications coordinator (from $ 47,000 to $ 250,000 year)
- corporate strategy (from $ 164,125 to $ 247,000 year)
- operations engineer (from $ 130,313 to $ 244,450 year)
- anesthetist (from $ 185,060 to $ 230,000 year)
- independent contractor (from $ 93,600 to $ 225,000 year)
- director of analytics (from $ 184,260 to $ 225,000 year)
- communications director (from $ 80,000 to $ 224,500 year)
- owner operator (from $ 78,000 to $ 219,406 year)
- clinical associate (from $ 71,725 to $ 216,025 year)
- software architect (from $ 172,500 to $ 215,000 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
Machine Learning Engineer
Tiger AnalyticsJersey City, New Jersey, United States- Full-time
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!
What You'll Do:
- Collaborate with cross-functional teams to design and deploy ML models.
- Develop reusable, scalable code for AI/ML applications.
- Leverage GCP services to build end-to-end machine learning pipelines.
- Optimize models for performance and scalability using Vertex AI.
Requirements
Key Requirements:
- Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools.
- Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI.
- Model Development & Deployment: Proven ability to design, build, and productionize machine learning models.
- API Development: Skilled in developing robust APIs for seamless integrations.
- Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines.
Why Join Us?
- Work remotely while contributing to cutting-edge projects.
- Collaborate with a dynamic team passionate about AI/ML innovation.
- Opportunity to work with the latest Google Cloud technologies.
Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI!
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.