Lead the design and development of complex cloud products and platforms, ensuring scalable, robust solutions.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 148,500 - 281,500 in Colorado // 160,000 - 304,000 in Massachusetts
Responsibilities
Lead the project team for design and development of complex products and platforms
Reviews and evaluates designs, test plans, and develops code for compliance with cloud design and development guidelines and standards
Provides tangible feedback to improve product quality and mitigate risks
Represents the engineering team in various technical forums and provides guidance and mentoring to less-experienced team members
Drives innovation and integration of new technologies into projects and activities in the software systems design organization
Requirements
Bachelor's or master's degree in computer science, engineering, information systems, or closely related quantitative discipline
Design, build, and optimize ML models and solutions — spanning traditional statistical ML, neural networks, and deep learning — to solve real-world problems in large-scale, real-time digital performance analytics.
Compensation
The expected salary range for this full-time position is $180,000 - $230,000 + equity + benefits.
Responsibilities
Design, build, and optimize ML models and solutions
Develop innovative approaches for predictive modeling, anomaly detection, and automated alerting
Apply the full algorithm spectrum from classical methods to advanced deep learning architectures
Support AI initiatives including designing AI-driven alerts and contributing to AI roadmaps
Develop POC code and implement ML solutions using AI coding tools
Requirements
PhD in Computer Science, Statistics, or related field
MS with 3+ years of applied ML/data science experience
Nice to have: Real-time data processing and streaming analytics
Advance computational methods and research software for quantitative formation evaluation, emphasizing multidimensional borehole electromagnetic modeling and resistivity inversion. Develop reliable, efficient tools that translate research advances into practical subsurface interpretation workflows and support consortium research and technology transfer.
Compensation
$80,000 + depending on qualifications
Responsibilities
Develop and validate electromagnetic forward models and inversion methods for formation evaluation
Improve numerical solvers and performance through parallel and high-performance computing
Integrate modeling, inversion, and visualization capabilities into consortium software, including 3D UTAPWeLS
Analyze subsurface data and assess model sensitivity and uncertainty
Collaborate with researchers and sponsors; prepare documentation, publications, presentations, and user support
Requirements
Bachelor's degree
Nice to have: gradient-based inversion
Nice to have: stochastic inversion
Nice to have: UDAR interpretation
Nice to have: 3D anisotropic electromagnetic solvers
The Data Engineer works closely with Data Scientists, Data Analysts, and Business stakeholders to develop reliable data solutions and operationalize machine learning and AI applications.
Compensation
Annual Salary range: $90,000.00 - $95,000.00
Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines for structured and semi-structured data.
Build and optimize data warehouses, data lakes, and data models.
Develop automated data ingestion, transformation, and orchestration workflows.
Manage and optimize data platforms such as Snowflake, Databricks, or equivalent.
Ensure data quality, reliability, governance, and observability across data pipelines.
Requirements
Bachelor's degree in Computer Science
Bachelor's degree in Engineering
Bachelor's degree in Information Systems
Nice to have: AI/ML application deployment
Nice to have: LLM/Generative AI application deployment
Join the team building the platform that helps organizations create and operate AI-powered experiences at scale, focusing on making complex AI consumption accurate, explainable and dependable.
Compensation
The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Design and build scalable, reliable and secure cloud services, setting technical direction for resilient architecture and maintainable software.
Translate customer and business needs into technical architecture and delivered solutions, balancing long-term service goals with practical execution.
Collaborate across engineering, product and partner teams to clarify requirements, align interfaces and dependencies, and resolve technical trade-offs.
Own the end-to-end service lifecycle, from design and implementation through testing, deployment and operations, continuously improving quality and service health.
Provide hands-on technical leadership through production code, design and code reviews, and mentoring that strengthens engineering judgment and delivery across teams.
Requirements
Bachelor's Degree in Computer Science or related technical field
Build and operate the governed infrastructure platform behind Electronic Design Automation (EDA) and hardware engineering, providing a self-service path from source code to production in the cloud and at physical sites.
Compensation
The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Own the lifecycle of Kubernetes clusters, including control plane, node lifecycle, and fleet-wide upgrades.
Own bare-metal provisioning, storage, and networking underneath clusters.
The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Build self-service SDKs, workflow templates, reference implementations, and a catalog of reusable agents, tools, and connectors.
Translate operational intent into versioned, testable policies that define triggers, prerequisites, permitted actions, approval requirements, maintenance windows, capacity limits, and recovery or blocking issue paths.
Define common contracts for tools, state, events, and workflow execution.
Build agents that correlate hardware diagnostics, logs, metrics, topology, configuration, and incident history to investigate failures, propose evidence-backed diagnoses, and produce executable remediation plans.
Automate provisioning validation, node quarantine, workload-aware maintenance, repair, upgrades, and return to service.
Technical leader building the retrieval and ranking models powering the search engine and leveraging LLMs to build the intelligent shopping experience of the future.
Compensation
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
The pay range for this position is between $150,000.00 - $280,000.00
Responsibilities
Design and develop algorithms and models against large datasets to create business insights
Effectively communicate insights and recommendations to technical and non-technical leaders
Lead large data science projects
Mentor data scientists on the project team
Leverage extensive business knowledge into solution approach
Requirements
Bachelor's degree or equivalent degree in a field of study related to the job
Floater Instructor to provide instructional support across multiple schools in a designated area, leading STEAM and Sports activities for students from kindergarten to 8th grade.
Compensation
Wage: $25/hour
Responsibilities
Lead STEAM and Sports activities
Teach fundamentals of various activities
Foster a collaborative, positive environment
Deliver BAM! STEAM/Sports programs
Serve as a substitute instructor at different program locations
Requirements
Ability to connect with students from kindergarten to 8th grade
Nice to have: Previous teaching or coaching experience
Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university
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