Sr Principal Data Scientist/ML Engineer
Location: Little Rock
Posted on: March 18, 2023
Oracle's Software Assurance organization has the mission to make application security and software assurance, at scale, a reality. The ML Assurance team, as part of the Software Assurance org, is an inclusive and diverse team of high caliber data science and ML application researchers and engineers, distributed globally, who thrive on new challenges. We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a Senior Principal Data Scientist, you will work closely with the technical and research teams on innovative, strategic projects including advanced applications of ML for the organization. This role is responsible for the technical direction of the team and for communication with both internal and external stakeholder leadership teams, and must demonstrate critical thinking abilities, outstanding communication skills, project management experience and the ability to lead other experienced technical professionals.
What we offer
Being part of one of the most strategic departments of Oracle, cooperating with an international team of data science and ML experts with diverse backgrounds worldwide.
Opportunities for career growth and technical leadership
Exposure to cutting edge applications of AI/ML and the opportunity to work with research teams on innovative solutions
Evaluating and understanding large production deep learning systems composed of dozens of models.
Building frameworks to audit the performance of deep learning systems and to understand how well they are aligned with their design criteria.
Developing novel metrics that provide analytical insights to non-technical stakeholders into how well these kinds of systems are operating.
BS in Computer Science, Data Science, Machine Learning, or related technical fields
At least 10 years of hands-on experience (may include graduate studies in computer science or related technical fields) with increasing scope in developing and implementing ML solutions
Experience should include 4+ years in roles with technical leadership scope in Data Science or ML Engineering
Act as a leader on large-scale company initiatives and be viewed by peers as a leader and top contributor and by line management as a key business partner.
Thorough understanding of CS fundamentals including data structures, algorithms, and complexity analysis
Strong software development experience through hands on coding in Python
Detailed knowledge of machine learning concepts and models
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
Familiarity with version control practices, containers, MLOps
Familiarity with at least one cloud platform
Experience in formulating analytical problems into actionable research and applying advanced machine learning techniques for problem solving
Good communication skills to convey sophisticated topics in straightforward terms to stakeholders (internal or external)
A drive to solve hard problems at scale
Experience in technical writing, project documentation, and/or technical publications
MS/PhD in Computer Science, Data Science, Machine Learning, or related technical fields
Familiarity with Learning to Rank models
Experience with recommender systems, especially deep learning-based recommender systems
Experience with content moderation systems
Experience with computer vision models
Experience with generative AI models
Familiarity with serverless architecture, ML model hosting strategies, and model testing techniques
Familiarity with model risk management techniques
Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
Range and benefit information provided in this posting are specific to the stated location(s)
California Pay Range: from $134,900 to $270,000 per annum. May be eligible for bonus, equity, and compensation deferral.
Colorado Pay Range: from $127,400 to $243,000 per annum. May be eligible for bonus and equity.
New York City Pay Range: from $127,400 to $256,500 per annum. May be eligible for bonus, equity, and compensation deferral.
Washington Pay Range: from $142,400 to $256,500 per annum. May be eligible for bonus, equity, and compensation deferral.
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 Oracle's 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:
Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Flexible paid time off (unlimited or accrued vacation and sick leave)
Paid parental leave
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.
In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation.
Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business.
At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions.
That's why we're committed to creating a workforce where all individuals can do their best work. It's when everyone's voice is heard and valued that we're inspired to go beyond what's been done before.
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**
Keywords: Oracle, Little Rock , Sr Principal Data Scientist/ML Engineer, Accounting, Auditing , Little Rock, Arkansas
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