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Entry Level Google Cloud Machine Learning Engineer Jobs in Edison, NJ

Implement Machine Learning models (specifically leveraging BigQuery ML or Vertex AI) to identify ... Google Cloud Professional Data Engineer certification * Google Professional Machine Learning ...

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ... Explore and manipulate 3D point cloud & mesh data * Own the delivery of technical workstreams

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... You preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms ...

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... You preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms ...

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

AI/ML Engineer

Jersey City, NJ · On-site

$70 - $80/hr

Senior Machine Learning Engineer / AI Engineer About the Role We are seeking a Senior Machine ... Experience working with at least one major cloud platform (AWS, Azure, or Google Cloud Platform)

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Senior Machine Learning Engineer

Manhattan, NY · On-site

$133K - $176K/yr

Our client is a public safety product that's looking to add a machine learning engineer to their ... Database is in Cassandra, MySQL, Redis, and Google PubSub. Web Services are build via React.js and ...

Senior Machine Learning Engineer

Manhattan, NY · On-site

$133K - $176K/yr

Our client is a public safety product that's looking to add a machine learning engineer to their ... Database is in Cassandra, MySQL, Redis, and Google PubSub. Web Services are build via React.js and ...

Experience with Google Cloud and Google Cloud toolchain, Kubernetes and Spinnaker * Experience with embedded systems and machine learning programing * platforms including TensorFlow, PyTorch etc ...

Experience with Google Cloud and Google Cloud toolchain, Kubernetes and Spinnaker * Experience with embedded systems and machine learning programing * platforms including TensorFlow, PyTorch etc ...

Machine Learning Engineer

New York, NY · Hybrid

$145K - $170K/yr

Constructing machine learning models including data collection, normalization, and standardization ... Creating apps to present ml models and host them in the cloud or locally * Creating pipelines to ...

New

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

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Showing results 1-20

Entry Level Google Cloud Machine Learning Engineer information

See Edison, NJ salary details

$31.1K

$71.8K

$122.2K

How much do entry level google cloud machine learning engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for entry level google cloud machine learning engineer in Edison, NJ is $71,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $81,300.00 per year, depending on experience, location, and employer.
What are popular job titles related to Entry Level Google Cloud Machine Learning Engineer jobs in Edison, NJ? For Entry Level Google Cloud Machine Learning Engineer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Google Cloud Machine Learning Engineer jobs in Edison, NJ look for? The top searched job categories for Entry Level Google Cloud Machine Learning Engineer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Entry Level Google Cloud Machine Learning Engineer jobs? Cities near Edison, NJ with the most Entry Level Google Cloud Machine Learning Engineer job openings:
Senior Google Cloud Data Engineer

Senior Google Cloud Data Engineer

Valtech

New York, NY • Hybrid

$170K - $240K/yr

Other

Medical, Dental, Vision

Posted 26 days ago


Job description

Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The role  

We are seeking a Senior Google Cloud Data Engineer with a strong background in data engineering and a hands-on approach to driving projects independently from start to finish. This role requires someone who thrives in a proactive environment and can deliver impactful solutions in cybersecurity analytics and anomaly detection. 

The ideal candidate will have experience in developing dashboards and insights to detect and visualize security threats, including executive-level dashboards. Comfort with Looker Core, BigQuery, SQL, and Python is essential, along with familiarity in Machine Learning for anomaly detection, alerting mechanisms, and data manipulation. 

This position is onsite in Greater New York City area 3 days per week, and remote 2 days per week. 

Role responsibilities

  • Drive projects independently, ensuring timely delivery and high-quality outcomes. 
  • Lead and execute projects related to cybersecurity, including anomaly detection in data to identify potential security threats. 
  • Develop dashboards and visuals for operational and executive use, leveraging Looker Core and BigQuery. 
  • Implement alerting systems to proactively detect anomalies and security issues. 
  • Design and implement data ingestion and transformation pipelines leveraging Google Cloud Dataflow / Apache Beam and BigQuery for analytics and large-scale querying. 
  • Implement Machine Learning models (specifically leveraging BigQuery ML or Vertex AI) to identify statistical outliers, potential intrusions, and fraudulent patterns in network traffic. 
  • Build fault-tolerant, self-healing, adaptive, and highly accurate streaming and batch data pipelines on GCP. 
  • Perform data manipulation and analysis to support threat detection and reporting. 
  • Collaborate closely with cross-functional teams to ensure data quality, availability, and reliability across cloud environments. 
  • Develop and maintain technical documentation for all assigned systems and projects. 
Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

  • Candidates must be legally authorized to work in the United States and must hold either U.S. citizenship or lawful permanent resident (Green Card) status.
  • Strong expertise in:  
    • Python - for building data pipelines, processing tasks, and automation 
    • SQL - Advanced SQL capabilities (nested fields, analytic functions). 
  • Hands-on experience with Core GCP Data Stack: 
    • BigQuery: Expert-level SQL, performance tuning, and specifically BigQuery ML (BQML) for implementing logistic regression or k-means clustering on data in-place. 
    • Dataflow (Apache Beam): Strong proficiency in writing data pipelines (Python or Java) handling windowing, watermarks, and triggers for streaming data. 
    • Pub/Sub: Experience with event-driven architecture and message queuing. 
  • Hands-on experience with Visualization & BI:      
    • Looker Core - Advanced proficiency in LookML (not just drag-and-drop), including derived tables, explores, and Liquid syntax. 
    • Semantic Modeling: Develop robust LookML models to create a trusted layer of data governance, ensuring metrics are consistent across the organization. 
    • Dashboard Creation: Design intuitive, high-impact dashboards in Looker for two distinct audiences: Operational teams (real-time threat monitoring) and Executives (risk posture and compliance reporting 
  • Familiarity with Alerting Frameworks 
  • Ability to work independently and drive projects solo with minimal supervision 
  • Outstanding soft and communication skills 
Nice to have qualifications  
  • Google Cloud Professional Data Engineer certification 
  • Google Professional Machine Learning Engineer certification 
  • Google Cloud Professional Cloud Architect certification  
  • Bachelor's or Master's degree in a quantitative or technical field (e.g., Computer Science, Engineering, Statistics)    
  • Working knowledge of cloud architecture components in GCP  
  • Proficiency in Big Data environments and tools such as Spark, Hive, Impala, Pig, etc.  
  • Proficiency in Terraform 
  • Familiarity with front and back-end web application stacks and frameworks, and API design and usage (REST/GraphQL)    
  • Experience leading and managing technical data/analytics/machine learning projects   

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

The benefits  

This is a full-time position based in New York, United States. The offered salary range is $170,000-240,000 annually, depending on experience and location. 

Beyond a competitive compensation package, we offer: 

  • Flexibility, with remote and hybrid work options (country-dependent) 
  • Career advancement, with international mobility and professional development programs 
  • Learning and development, with access to cutting-edge tools, training and industry experts
  • Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we'll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L'Oreal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don't just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what's next? Join us.

For applicants in California, please see Valtech's CPRA Privacy Notice here.