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Surrounding Team & Key Projects – Senior engineers build tables containing legally relevant information and develop alerting systems that create tasks or send emails when issues arise (e.g., unauthorized data modifications). Types of Interviews - SQL screen, moderate complexity, no python screen. General questions about experience. (45 Minutes)
Work with the concept team, art, and game direction to establish art style and tone guides and create inspiring mood pieces, gameplay and character ideation, sketches, and color key scripts. Collaborate with other art and design disciplines to help steer initial conceptual direction into compelling visual and game experiences throughout development, including more detailed production callouts and reference and mood boards. Provide feedback and mentorship to other concepts artists on the team, both for executing on a compelling vision for the games we make, as well as helping each to grow and thrive in their professional artistic careers. Help continue expand the capabilities concept team, through training and team building, refinements of process and techniques, and candidate recruiting and hiring.
The Renters Insurance Processor is responsible for reviewing insurance documents, verifying policy coverage, and updating client servicing systems according to company procedures. The role involves processing premium payments from escrow accounts, communicating with insurance agents and companies to obtain missing information, and performing policy maintenance tasks such as updates, letters, and notices. The processor ensures all items are completed accurately and on time to meet quality and productivity standards.
Client is seeking a strong Python/ML Systems Engineer to join our team, an organization focused on making research breakthroughs in AI. Responsibilities include developing and maintaining deep learning libraries that support large-scale distributed training, open sourcing high quality code, creating documentation, supporting the community to onboard and effectively leverage the solutions built by the team, and bringing the latest research to products for connecting billions of users. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
Location (mandatory): Remote, USA The main function of a software engineer is to apply the principles of computer science and mathematical analysis to the design, development, testing, and evaluation of the software and systems that make computers work. A typical software engineer researches, designs, develops and tests operating systems-level software, compilers, and network distribution software for medical, industrial, military, communications, aerospace, business, scientific and general computing applications. Years of Experience: 4+ Years
ML Systems Engineer III We are seeking a strong ML Systems Engineer to join our Fundamental AI Research team; an organization focused on making research breakthroughs in AI. Responsibilities include developing deep learning libraries that support large-scale distributed training, open sourcing high quality code and reproducible results for the community, and bringing the latest research to client's products for connecting billions of users. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities. Years of Experience: 5+ years Degrees Required: Bachelors degree in Computer Science, Computer Engineering or relevant technical field How will performance be measured? - Completion and quality of engineering tasks. Candidate Value Proposition: This is working on cutting-edge Machine Learning training and inference code to create State of the Art research models. It’s working with leading researchers in the field. Cutting edge distributed training for creating state of the art ML models. Candidate Disqualifiers: Pure software engineers will not be a good fit. Experience with Large scale Model training with Pytorch is essential. Difficult Aspects of Job: Strong technical and communication skills will be needed to succeed in a fast-paced and ambiguous environment. Interview Process: 1-2 rounds (1 hour) We’ll setup a pool of interviewers to process the queue quickly. Mostly technical: experience with distributed training. How DDP/FSDP works, what are different parallelism techniques to scale models, what are their tradeoffs, which one would you use in which case, some back of the envelope calculation of memory/throughput requirements, so on.
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Our team specializes in leveraging data science to drive product innovation and improvement. They work closely with engineering and business partners to turn complex data into actionable insights, prototypes, and scalable solutions. Their focus is on advanced analytics, predictive modeling, and supporting business intelligence needs across the organization. Minimum Years of Experience: 8+ years Certain project that team is working on / what products are they supporting ● Developing innovative solutions using advanced analytics and machine learning. ● Prototyping new products and features based on data-driven insights. ● Supporting online customer service dashboards and other business intelligence initiatives. Any companies they would like to see on resumes: ● Previous experience at ours / Nielsen ● Analytic Partners ● Other major marketing measurement firms How will progress be evaluated? ● Timely delivery of key metrics and reports ● Consistent maintenance and accuracy of dashboards ● Ensuring all projects and tasks stay on track ● Demonstrating strong expertise with our Ads platform Manager Callouts: ● Our Sales/Marketing or Ads Ecosystem background preferred | Ours Ads Manager experience is highly desirable ● Marketing Data Scientist experience is a plus ● Solid grasp of advertising practices and marketing KPIs ● Health metrics design experience is helpful What challenges should the ideal candidate expect in this role, and how can they help address them? ● Adapting quickly to data processes and an agile work environment ● Managing stakeholders effectively ● Proactively collaborating with other teams and maintaining strong communication Screening Process: ● Round 1: Screening 30 minutes with the hiring manager ● Round 2: Technical Interview 45 minutes focused on data skills ● Round 3: Communication R
We are seeking a skilled Spatial Data Scientist / Geospatial Analyst to design, build, and maintain geospatial tooling and analysis functions using ArcGIS Enterprise and other geospatial platforms. This role will support Infra Competitive Insights team by providing ongoing and ad hoc geospatial analyses, leveraging data center locations, energy infrastructure, parcel data, and other relevant datasets to drive business insights. This role bridges data science, spatial analytics, and GIS application development—helping decision-makers understand geographic patterns, optimize infrastructure, and forecast spatial change. Ideal Candidate • Demonstrates strong problem-solving skills and a structured, logical approach to complex issues. • Proficient in communicating technical concepts and research findings to both technical and non-technical audiences. • Experienced in working independently, managing processes and timelines, and seeking feedback as needed. • Skilled at managing multiple complex priorities efficiently and with strong attention to detail. • Creative and proactive in approaching complex research questions and data analyses. • Experienced in building and maintaining standardized processes, databases, dashboards, and analytical tools. • Demonstrates strong cross-functional partnership and collaboration skills.
Fully Remote • Must be flexible and able to work both shifts as needed • Should be comfortable working either 9:00 AM - 5:00 PM or 11:00 AM - 7:00 PM (EST) depending on business needs • 40 hours per week Must be available to travel for initial onsite training
We are seeking a dynamic and results-driven recruiter with experience in collections or sales to join our Talent Acquisition team. The ideal candidate will have a strong understanding of the collections/sales industry and a proven ability to source, engage, and hire top talent for roles.