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Oracle Machine Learning Jobs (NOW HIRING)

Treeswift Inc

Machine Learning Engineer

New York, NY · On-site

... Stripe, Oracle, MongoDB). We have raised funding from leading investors including Penny Pritzker ... Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ...

phData

OR · On-site

... Oracle, and SAP; proven experience deploying machine learning models in production environments. * Strong working knowledge of SQL and the ability to write, debug, and optimize complex and ...

phData

OR

... Oracle, and SAP; proven experience deploying machine learning models in production environments. * Strong working knowledge of SQL and the ability to write, debug, and optimize complex and ...

Deloitte

Oracle Gen AI Manager

Chicago, IL · On-site

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ...

Deloitte

Oracle Gen AI Manager

Detroit, MI

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ...

Deloitte

Oracle Gen AI Manager

Austin, TX

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ...

Deloitte

Oracle Gen AI Manager

San Jose, CA · On-site

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ...

Deloitte

Oracle Gen AI Manager

Boston, MA · On-site

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ...

Deloitte

Oracle Gen AI Manager

San Diego, CA

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ...

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How much do oracle machine learning jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for oracle machine learning in the United States is $61.15, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.15 per hour, depending on experience, location, and employer.

What are the typical responsibilities and daily tasks of someone working in an Oracle Machine Learning position?

Professionals in Oracle Machine Learning roles are typically responsible for building, deploying, and optimizing machine learning models within Oracle Database environments. Daily tasks may include preparing and cleaning large data sets, developing algorithms using SQL, Python, or R, and interpreting results to provide actionable business insights. They often collaborate closely with data engineers, business analysts, and IT teams to understand data needs and translate business requirements into technical solutions. The role also involves monitoring model performance and making continuous improvements to ensure accuracy and efficiency. This position is dynamic and offers opportunities for ongoing learning and career growth in both data science and enterprise database management.

What are the key skills and qualifications needed to thrive in the Oracle Machine Learning position, and why are they important?

To thrive in an Oracle Machine Learning role, you need a strong foundation in machine learning algorithms, data analysis, and proficiency with Oracle Database and PL/SQL, typically supported by a degree in computer science, data science, or a related field. Experience with Oracle Machine Learning tools (such as OML4SQL or OML4Py), certifications like Oracle Certified Professional, and familiarity with platforms such as Oracle Cloud Infrastructure are highly valuable. Excellent problem-solving abilities, attention to detail, and effective communication skills help professionals collaborate across multidisciplinary teams. These competencies are crucial for designing predictive models, extracting meaningful insights from large datasets, and driving data-driven business decisions using Oracle technologies.

What is an Oracle Machine Learning job?

An Oracle Machine Learning job involves using Oracle's machine learning tools and databases to develop, deploy, and manage predictive models and AI-driven solutions. Professionals in this role work with SQL, Python, and Oracle Machine Learning (OML) to analyze data, automate processes, and optimize decision-making. Responsibilities may include data preparation, model training, and integrating machine learning models into Oracle databases and applications. This role is common in industries like finance, healthcare, and retail, where data-driven insights improve business outcomes. Strong knowledge of Oracle Cloud Infrastructure (OCI) and database management is often required.

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What cities are hiring for Oracle Machine Learning jobs? Cities with the most Oracle Machine Learning job openings:
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Oracle Machine Learning jobs near you
Infographic showing various Oracle Machine Learning job openings in the United States as of May 2026, with employment types broken down into 74% Full Time, 1% Part Time, 12% Temporary, 5% Contract, and 8% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $127,184 per year, or $61.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

Treeswift Inc

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

About Treeswift:
In the face of rising threats like severe storms and wildfires, increasing pressure on affordability, and unprecedented demands for system expansion, Treeswift empowers energy companies to modernize their field work to meet the unprecedented growth and challenges ahead.
To accomplish our mission we deploy our sensors into our customers' field operations, typically on backpacks or vehicles. The resulting trove of LiDAR and imagery data is processed through our AI models to deliver actionable analytics through our web platform. To date, our technology has enabled utilities to reduce wildfire, regulatory and outage risk from vegetation, avoid delays and cost overruns in new construction, and accelerate recovery from severe storms.
After starting our work with utilities in June 2024, we are now working with three of the five largest utilities in the United States and are rapidly expanding across new customers and use cases. To tackle this challenge we are bringing together a team of mission-driven experts with deep industry experience in robotics (Penn, Caltech, CMU) and enterprise software development (Palantir, Stripe, Oracle, MongoDB). We have raised funding from leading investors including Penny Pritzker's Inspired Capital.
Treeswift is headquartered in lower Manhattan, and maintains an office in Philadelphia. We also have some customer-facing team members based closer to our customer sites (i.e. Bay Area).
We hope you join us on this journey!
About the Role:
Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our mission. We are looking for an exceptional candidate with a proven track record of training and deploying models in a commercial setting. If you are a passionate and experienced engineer eager to contribute to the future of distributed infrastructure management we encourage you to apply.
This is a full-time, hybrid/2-day a week in person role in our NYC office.
Key Responsibilities
  • Develop machine learning models that revolutionize our customers' businesses. Treeswift develops machine learning algorithms that upend the cost and accuracy of field work for energy infrastructure. Our machine learning model development focuses on two primary areas: (a) LiDAR point cloud models to classify and segment landscapes and infrastructure and (b) image models to derive vegetation attributes such as species and health. In this role you will be responsible for bringing innovative ideas and rapid execution to new and existing models. In the course of development, you will collaborate closely with other teams (product, operations etc...) and have an opportunity to interact with end-users.
  • Create a best-in-class feedback loop to accelerate model development. You will improve Treeswift's ability to assess model performance and adapt to new operating conditions at scale. Treeswift's cutting edge model development involves significant investment in a proprietary dataset to train our models.
  • Help Treeswift scale. In this role you will be expected to bring prior experience with commercial machine learning model development and deployment to help Treeswift cost-effectively scale its technology to serve a growing number of customers and use cases. You will be responsible for enabling effective collaboration on model development within the engineering team, and you will contribute to efforts to ensure reliable and robust performance of models in production.

Required Skills
  • Proven track record of training and deploying machine learning models at scale for commercial use cases.
  • Experience in segmentation and object detection of point cloud data or image data or other sensor data.
  • Experience creating, curating, and cleaning training datasets
  • Strong programming skills in Python
  • Expertise in deep learning libraries such as PyTorch, TensorFlow, or similar.
  • Excellent problem-solving and analytical abilities.
  • Exceptional communication and collaboration skills.

Preferred Skills
  • Experience with semantic mapping.
  • Experience with image processing techniques and computer vision fundamentals.
  • Experience with one or more of: Sensor Fusion, SLAM, Visual Odometry.
  • Building and using cloud-based training and inference pipelines.
  • 5+ years of professional experience or 3+ years with an advanced degree.
  • Experience with deep learning training frameworks such as MLflow, Lightning, Weights and Biases, or similar.

What We Value
  • Mission first. We value low ego team members who focus on working towards the best outcomes for the customer and the business, regardless of who gets the credit.
  • Truth seeking. We don't always have perfect information to make decisions, but we seek to constantly get closer to the ground truth and aren't afraid to learn we were wrong in the process.
  • Owners mindset. If you see an opportunity for improvement, run with it. We believe that good ideas can come from anywhere, no matter your role.

Benefits
  • Comprehensive medical, dental and vision insurance
  • Life insurance package and disability coverage
  • Stock options
  • Paid leave for new parents
  • Unlimited PTO
  • 401K

Salary
The estimated salary range for this position is $140,000-$210,000. Total compensation for this position is determined by skills, qualifications, relevant work experience, location, and other factors. This salary estimate excludes the value of any potential bonuses; the value of any benefits offered; and the potential future value of any long-term incentives. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based applicants. Base compensation may vary if the work location is outside of New York City.
Treeswift is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.
If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.

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