Analyze performance data from battery storage systems, develop analytical pipelines, and support system operation and maintenance.
Locations (2)
United States
Canada
Compensation
Compensation: $80,000 - $120,000 + annual bonus
Responsibilities
Actively collaborate with software developers, data engineers and system architects to deliver advanced analytical pipelines.
Analyse the performance of BESS, including downtime analysis, identifying under-performing areas and sub-systems, understanding system behaviour, and directing improvements and updates to enhance system availability and capacity.
Evaluate key performance indicators (KPIs) such as BESS Storage Availability, Charge/Discharge Energy, RTE, and SoC. Prepare and present reports (dashboards and presentations) for internal and external stakeholders.
Calculate major equipment unavailability and LDs. Communicate and reconcile these with suppliers and owners.
Senior AI Engineer responsible for developing and deploying generative AI, NLP, vision, and ASR models for enterprise applications.
Compensation
Hiring Range: $169,800 - $233,500 - for Primary Location of USA - CA - Palo Alto
Responsibilities
Evaluate, adapt, and develop new state of the art language and/or multimodal foundation models for enterprise applications
Perform thorough empirical analysis of the approach and write production ready code
Develop, modify and fine-tune ML/NLP and pre-trained enterprise-grade large language models (LLMs) and multi-modal models
Ensure the developed models seamlessly integrate with other tools and company products and are aligned with the feedback that will be generated from enterprise customers
Specify guidelines and design annotation processes for data; collaborate with data team on data preprocessing, consumption, and automated/manual annotations
Requirements
Master’s degree in Computer Science, Engineering, or related fields
Bachelor’s degree in Computer Science, Engineering or related experience
Lead advanced analytics workstreams focused on core restaurant operations, guest experience, and business performance.
Compensation
A reasonable estimate of the current base pay range for this position is $133,000.00–$187,000.00. You are also eligible for annual cash bonuses and equity awards based upon performance and other factors.
Responsibilities
Lead advanced analytics workstreams focused on core restaurant operations, guest experience, and business performance.
Develop and evolve Voice of the Guest analytics by integrating internal surveys, external restaurant reviews, Customer Care contacts, digital feedback, and other guest sentiment data sources.
Analyze structured and unstructured data using relevant analytical techniques, including natural language processing, clustering, regression modeling, classification, optimization, and other statistical or machine learning methods.
Synthesize insights across multiple datasets—including first- and third-party data—to identify trends, explain performance drivers, and uncover opportunities.
Influence key stakeholders across Operations, Digital, Marketing, Finance, and Restaurant Experience by connecting guest feedback insights to business decisions, strategic priorities, and measurable outcomes.
Requirements
Bachelor’s Degree in a quantitative, analytical, or business-oriented field
Master’s degree in relevant field preferred
Postdoctoral Researcher: Inverter-based Resources (IBR) Driven Power System Protection Study & Stability Analysis
National Laboratory of the Rockies · Posted Jul 13, 2026
Apply state‑of‑the‑art deep learning and computer vision techniques to curate high‑quality datasets and ground truth for autonomous vehicle perception, prediction, planning and control.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. 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
Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
Foster collaborative partnerships with researchers and engineers, transforming innovative research into robust, industrial‑strength machine learning models.
Take approaches from initial evaluation and experimentation all the way to shipping.
Define, collect, and curate training and evaluation datasets, focusing on scenario coverage and label quality.
Develop vision‑language models and embeddings for scenario search, classification, and automated data curation.
Requirements
PhD in Computer Science, Computer Engineering, or related field
MS in Computer Science, Computer Engineering, or related field
Conduct product troubleshooting, bringing up and rework.
Develop product troubleshooting procedures.
Provide failure analysis findings to hardware development engineers to improve hardware reliability and quality.
Provide on-site technical support to our manufacturing partners to resolve production fallouts and failure analysis findings to manufacturing process engineers to improve yield and quality.
Site Reliability Internship - Summer 2027Varda Space Industries · El Segundo, US