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Machine Learning Engineer at Oracle

Machine Learning Engineer

Oracle Ewing Township, NJ Full-Time

Job Description

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement.

Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. 8 years relevant work experience. BS/BA preferred.


Do you have a passion for high scale services and working with some of Oracle's most critical customers? We are looking for a principal ML Engineer who is passionate for personalization ML models, recommender systems and disciplines included but not limited to causal ML, deep learning, and reinforcement learning. You will contribute to researching and designing models pertaining to recommender-based systems for our large-scale software assurance organization. You will help grow your team members to achieve outstanding results. You foster the creative atmosphere to enable collaboration and innovate delivering results. You are ambitious, yet humble you realize there are always opportunities for improvement, you take on feedback from team members and introspect to raise the bar for yourself. You are comfortable with ambiguity, exploring new complex codebases and models.

Who We Are

We are a world-class team of high caliber engineers and data scientists who thrive on new challenges. We are an inclusive and diverse team with a full spectrum of experience distributed globally. We have the resources of a large enterprise and the energy of a start-up, working on a critical greenfield software assurance project collaboratively with our cloud teams. The Software Assurance organization has the mission to make application security and software assurance, at scale, a reality. We are a dedicated team, leveraging each others insights and abilities to produce cutting edge solutions to difficult problems through automation and CI/CD. Join us to grow your career and create the future of software assurance at scale together.

What You'll Do

  • Design, build, evaluate, ship, and refine recommender models by hands-on ML development

  • Work in partnership with engineering teams to integrate models with existing production tools/systems/services and drive full automation of end-to-end modelling workflow using state of the art MLOps.

  • Detailed knowledge of modern deep learning models including but not limited to FCN, CNN, RNN, Autoencoders, Transformers, and Language models like BERT, GPT, or T5

  • Hands-on experience implementing models using scikit-learn, TensorFlow, or PyTorch

  • Help drive optimization, testing, and tooling to improve quality

  • Tackle head on large ML recommender projects that are ambiguous, requiring both technical and domain expertise.

  • Conduct extensive research on the optimal ways to solve the problems and produce novel ways/algorithms to deliver the desired result, resulting in significant impact to the downstream/upstream business processes.

  • Publish and present ML based solutions to internal stakeholders

  • Use statistical and optimization techniques to build high performing recommendation, search ranking and personalization models

  • Provide technical mentorship to junior ML Scientists and act as a technical leader for recommendation, search ranking and personalization domains

What Youll Bring

  • 5-7 + years of industrial experience developing advanced ML/AI models in one or more of the following areas: recommender systems, search ranking, and personalization applications

  • A masters in computer science, Statistics, or Data Science

  • You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems

  • Experience with causal ML, deep learning, or reinforcement learning is a plus

  • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, R, or similar languages (Python preferred).

  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation

  • Excellent communication skills

Nice to Have

  • Ph.D. in Computer Science, Software Engineering, Mathematics, or other related fields

  • Experience working with cloud-based solution and development.

  • Experience working in a distributed team

  • Experience with analytical platforms like KNIME

  • Familiarity with Learning to Rank models

  • Experience with content moderation systems


  • The position will require approximately 25% onsite work in Columbia, MD, or Denver, CO

What Well Give You

  • Challenging and changing tasks

  • A team of very skilled and diverse personnel across the globe

  • Ability to work in a flexible work from home arrangement

  • Exposure to mind blowing large-scale cutting-edge systems

  • The resources of a large, global operation while still having the small, start-up feel of a smaller team day to day

  • Develop new skills and competencies working with our vast cloud product offerings

  • Ongoing extensive training and skills development to further your career aspirations

  • Incredible benefits and company perks

  • An organization filled with smart, enthusiastic, and motivated colleagues

  • The opportunity to impact and improve our systems and delight our customers

Range and benefit information provided in this posting are specific to the stated location(s)

New York City Pay Range: from $127,100 to $229,000 per annum; eligible for bonus and equity.

Colorado Pay Range: from $113,800 to $216,900 per annum; eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, as well as reflect Oracles differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle offers a comprehensive benefits package which includes the following:

  1. Medical, dental, and vision insurance, including expert medical opinion

  2. Short term disability and long term disability

  3. Life insurance and AD&D

  4. Supplemental life insurance (Employee/Spouse/Child)

  5. Health care and dependent care Flexible Spending Accounts

  6. Pre-tax commuter and parking benefits

  7. 401(k) Savings and Investment Plan with company match

  8. Flexible paid time off (unlimited or accrued vacation and sick leave)

  9. Paid parental leave

  10. Employee Stock Purchase Plan

  11. Adoption assistance

  12. Financial planning and group legal

  13. Voluntary benefits including auto, homeowner and pet insurance

About Us

As a world leader in cloud solutions, Oracle uses tomorrows technology to tackle todays problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyones voice is heard, were inspired to go beyond whats been done before. Its why were committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

Weve partnered with industry-leaders in almost every sectorand continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

Were committed to including people with disabilities at all stages of the employment process. If you would like accessibility assistance or accommodation for a disability at any point, let us know at

, Option 1.


Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

Recommended Skills

  • Agile Methodology
  • Algorithms
  • Analytical
  • Artificial Intelligence
  • Automation
  • Big Data
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