Join our innovative team as a Senior Machine Learning Engineer and take the lead in pioneering solutions for the energy sector. You will design and maintain the complete end-to-end machine learning lifecycle, ensuring seamless integration of algorithms into our production environment. Work hands-on with seismic and well log data, identifying key geologic characteristics and managing various subsurface data formats. You will also be responsible for writing clear specifications, documentation, and user guides. This role offers the opportunity to drive groundbreaking projects and make a significant impact in the industry. Apply now and be part of our forward-thinking team!

Req.#764074448

Responsibilities

• Design, maintain, troubleshoot, and optimize the complete end-to-end machine learning life cycle
• Work with products related to seismic and well log data
• Identify simple geologic characteristics within data (faults, horizons) as well as different subsurface data formats and types
• Lead the transition of machine learning algorithms to the production environment and integration into the ecosystem
• Write specifications, documentation and user guides for developed solutions

Requirements

• Extensive experience building and deploying machine learning models
• Strong understanding of image processing and time series signal processing
• Highly skilled in TensorFlow and PyTorch
• Comfortable training and fine-tuning ML models
• Hands on with building and maintaining data pipelines for image and other sensor data
• Exposure to ML Ops tools and practices such as model monitoring, versioning, and deployment
• History working with cloud platforms such as GCP
• Familiar with data labelling tools and edge deployments
• Knowledge of Protocol Buffers and Containers
• Ability to build prototypes to validate hypotheses
• Excellent collaboration and problem-solving skills

We offer

• Medical, Dental and Vision Insurance (Subsidized)
• Health Savings Account
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Short-Term and Long-Term Disability (Company Provided)
• Life and AD&D Insurance (Company Provided)
• Employee Assistance Program
• Unlimited access to LinkedIn learning solutions
• Matched 401(k) Retirement Savings Plan
• Paid Time Off
• Legal Plan and Identity Theft Protection
• Accident Insurance
• Employee Discounts
• Pet Insurance
• Employee Stock Purchase Program

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $140K - $170K. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)

Applicants and Employees in Unincorporated Los Angeles County: The Los Angeles Fair Chance Ordinance (LAFCO) requires employers conducting criminal history checks for applicants or employees to state the job duties for which certain criminal history may have a direct, adverse and negative relationship. For this position, these job duties include: engaging with clients, employees, and other third-parties (including the general public); accessing company and client information, IT systems and infrastructure, assets, property, and products, including proprietary coding, programs, applications, and data; and appropriately handling such information, including company and client confidential and personal information. For this reason, certain criminal history may result in the withdrawal of a condition offer of employment. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the LAFCO and the California Fair Chance Act.

EPAM welcomes all applicants and will consider qualified candidates with criminal history such as arrest and conviction records in a manner consistent applicable law, including the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring.