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Unsupervised Jobs (NOW HIRING)

DataVisor

Senior Software Engineer

Mountain View, CA

$144.50K - $190.50K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one.

DataVisor

Software Engineer

Mountain View, CA

Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one.

Lighthouse Nabali Llc

ELECTRICIAN

Tonawanda, NY

$20 - $24/hr

Candidates must be able to perform specific tasks unsupervised, must have basic N.E.C. Knowledge. Must have own tools and transportation with a clean Driver's License. Placement and advancement ...

Lighthouse Nabali Llc

ELECTRICIAN

Tonawanda, NY · On-site

$20 - $24/hr

Candidates must be able to perform specific tasks unsupervised, must have basic N.E.C. Knowledge. Must have own tools and transportation with a clean Driver's License. Placement and advancement ...

MphasiS Corporation USA

$102.10K - $122.70K/yr

... unsupervised learning, model evaluation, bias/variance) Advanced Analytics & Modeling Design and maintain data models for analytics and ML use cases Work with large-scale datasets using SQL, Python ...

Bruni & Campisi

Journeyman Electrician

Elmsford, NY · On-site

$22/hr

Detailed knowledge and experience with Residential Electrical Service installations unsupervised * *Thorough knowledge and experience with Panels changes and Grounding Systems and ability to install ...

Bruni & Campisi

Journeyman Electrician

Elmsford, NY · On-site

$22 - $55/hr

Detailed knowledge and experience with Residential Electrical Service installations unsupervised * *Thorough knowledge and experience with Panels changes and Grounding Systems and ability to install ...

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How much do unsupervised jobs pay per hour?

As of May 31, 2026, the average hourly pay for unsupervised in the United States is $17.65, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.51 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Unsupervised Machine Learning Engineer, and why are they important?

To thrive as an Unsupervised Machine Learning Engineer, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree and experience in data analysis. Familiarity with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch, and proficiency in programming languages like Python or R, are typically required. Analytical thinking, problem-solving, and effective communication skills help you translate complex data insights into actionable business strategies. These skills are crucial to designing and implementing algorithms that uncover hidden patterns in data, driving innovation and informed decision-making.

What are some common challenges faced by professionals working in unsupervised machine learning roles?

Professionals in unsupervised machine learning roles often face the challenge of working with unlabeled data, which requires creative approaches to data exploration and feature engineering. Interpreting the results of clustering or dimensionality reduction algorithms can be complex, as there isn't always a clear ground truth for validation. Additionally, collaborating with domain experts is essential to ensure that insights derived from unsupervised models are meaningful and actionable for the business.

What are unsupervised learning jobs?

Unsupervised learning jobs typically refer to roles that involve working with machine learning algorithms that identify patterns in data without using labeled outcomes. Professionals in this field design and implement models to analyze large datasets, uncover hidden structures, and generate insights without explicit instructions. These roles are common in data science, artificial intelligence, and research, often involving clustering, anomaly detection, and dimensionality reduction. Unsupervised learning is valuable for discovering unknown correlations and organizing data in meaningful ways.

What is the difference between Unsupervised vs Data Analyst?

AspectUnsupervisedData Analyst
Required CredentialsTypically a degree in data science, statistics, or related field; knowledge of machine learningDegree in statistics, mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, consulting firms, corporate departments
Industry UsageMachine learning, AI, data mining projectsBusiness intelligence, reporting, data interpretation
Common Search & ComparisonUnsupervised learning vs Data analysis

Unsupervised roles focus on machine learning techniques like clustering and dimensionality reduction, often requiring programming and statistical skills. Data Analysts primarily interpret data to inform business decisions, emphasizing visualization and reporting. While both work with data, their methods, tools, and objectives differ significantly.

More about Unsupervised jobs
What states have the most Unsupervised jobs? States with the most job openings for Unsupervised jobs include:
What job categories do people searching Unsupervised jobs look for? The top searched job categories for Unsupervised jobs are:
Unsupervised jobs near you
Infographic showing various Unsupervised job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 73% Full Time, 23% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $36,711 per year, or $17.6 per hour.
Senior Software Engineer

Senior Software Engineer

DataVisor

Mountain View, CA

$144.50K - $190.50K/yr

Full-time

Medical, Retirement, PTO

Posted 3 days ago

Job description

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us!

Summary:

As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process.

As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities.

We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space.

What you'll do:

  • Design and build machine learning systems that process data sets from the world's largest consumer services
  • Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
  • Build and optimize systems, tools, and validation strategies to support new features
  • Help design/build distributed real-time systems and features
  • Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
  • Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)

Requirements

  • 5+ years software development experience
  • 5+ years experience in Java, Shell, Python development
  • Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
  • Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus.
  • Experience in the Spring Framework is a plus
  • Experience with test-driven development is a plus

Preferred Qualifications

  • Worked on multithreaded applications i
  • Experience in Shell and Python
  • Experience in Kubernates
  • Experience in CUDA development is a plus

Benefits

Health Insurance, 401K, PTO.

Apply