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Stratford School, part of Spring Education Group, is a leading independent...
Premier international law firm seeks an Information Governance Sr Analyst. Position involves: IG Tools such as M365, VaronisRecords managementRelativity or Relone...
Join to apply for the General Hire: Machine Learning Engineer (Data and Eng, USDS) - 5 Start (MS) role at TikTok. Preferred Qualifications Experience in recommendation systems, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or relat
A technology company in San Francisco is seeking a Quantitative UXR to shape data-driven policy development. This role requires extensive experience in quantitative analysis and user behavior insights. You will work closely with various teams to establish metrics for policy success.
As a PhD Resident in Machine Learning for the Electric Grid, you will join Tapestry's six-month PhD Residency Program to work on applied machine learning research focused on improving the quality and reliability of large-scale energy data pipelines. This role centers on developing and evaluating adv
What this Job Entails: Experience managing vendors.Experience with escalation management and resolution.Experience managing competing priorities and multiple complex...
Job Details Technical Program Manager (Contract)Location: RemoteDuration: 3/16/2026 to 6/30/2026Team: Business Operations Role Summary We're...
Location: Pleasanton, CA (Hybrid: 3 days onsite, 2 days remote) Senior Account Executive at Martindale-Avvo Leads Inside Sales Martindale-Avvo Leads is seeking a high-performing Senior...
Our AI Agents act as digital coworkers that are governed, secure, always learning, and working 24/7 to drive measurable business outcomes. Build and maintain Python-based services, integrations, and data pipelines that support AI agent functionality. As the company grows, it is looking for mission-d
A deep learning researcher , with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply). You have spent at least 6 months working in a leading Machine Learning research center (e. Our CSO, Adrian Kosowski, received his PhD in Theor
Cardenas Markets - - Responsibilities: Greet and interact with customers to address questions or concerns in a friendly, service-oriented manner; Organize products in display case and tables while ensuring fully-stocked cases; Maintains...
This is a hybrid position in NYC and a remote position in San Francisco About Nimble: Nimble is defining the category of Web Search Agents: purpose-built...
A pioneering AI-powered biology firm is seeking a hybrid role focused on transitioning research to production by deploying models and managing data pipelines.
The ideal candidate will possess a Bachelor’s in a quantitative field, with at least 2 years of analytics experience, expert knowledge in SQL, and proficiency in Python. A leading fintech company in San Francisco is seeking a Data Scientist to leverage data science for product development and insi
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. As MLRE on the Data Foundation team, you’ll work on cutting edge research to define the data flywheel that makes th
We want you to help us shape the future of shopping experiences and deliver on our purpose of connecting people with the products and experiences that enrich their lives. Joining SAS Retail Services, an Advantage Solutions company, means joining a...
Enterprise Account Executive Compensation: (Base + Commission) Location: San Francisco Bay Area, CA (onsite – 5 days a week) Type: Full-time About the Company Our client...
Pacific International has been exclusively retained by a $10B+ global engineering and technology leader with nearly 40,000 employees worldwide, recognized for its critical role in powering the energy transition and enabling...
Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impac
Minimum of 2 years of leadership experience Broad knowledge of machine learning with strong Operations Research and ML modeling foundation Extensive experience in building user-facing product and working directly with product managers Strong communication skills and the ability to partner with teams