
51 - 200 employees
Founded 2017
💼 Consulting
📣 Marketing
☁️ SaaS
💰 $32M Series B - NewtonX on 2021-12
Consulting • Marketing • SaaS
NewtonX is a B2B market research and insights company that combines AI-enabled data collection, recruitment of verified expert respondents, and synthetic data augmentation to deliver fast, high-quality market intelligence and analysis. The company provides services across brand & communications, customer research, market opportunity, and product research, and offers a SaaS platform (NewtonX Hub and NewtonX Prime) including AI-moderated interviews and an always-on research analyst (Hub Researcher) to help enterprises and agencies turn complex questions into actionable strategy.
🕒 May 18
🇺🇸 United States – Remote
💵 $180k - $260k / year
⏰ Full Time
🟠 Senior
🤖 Artificial Intelligence
🦅 H1B Visa Sponsor
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51 - 200 employees
Founded 2017
💼 Consulting
📣 Marketing
☁️ SaaS
💰 $32M Series B - NewtonX on 2021-12
Consulting • Marketing • SaaS
NewtonX is a B2B market research and insights company that combines AI-enabled data collection, recruitment of verified expert respondents, and synthetic data augmentation to deliver fast, high-quality market intelligence and analysis. The company provides services across brand & communications, customer research, market opportunity, and product research, and offers a SaaS platform (NewtonX Hub and NewtonX Prime) including AI-moderated interviews and an always-on research analyst (Hub Researcher) to help enterprises and agencies turn complex questions into actionable strategy.
• Serve as the primary technical point of contact for ML, applied science, and product teams at AI-focused clients. • Hold your own in technical conversations. • Translate ambiguous technical requirements into concrete operational specs. • Design and build domain benchmarks for NewtonX-owned domains in high-value verticals. • Work directly with recruiting and operations lead to convert client and benchmark requirements into operational specs. • Sit in client calls alongside Commercial leads.
• 5 to 8 years of applied ML experience with substantive evaluation, benchmark, or human data work. • Working fluency with modern LLM evaluation: benchmark design, contamination handling, statistical significance, eval harness construction, agentic and tool-use evaluation, RLHF and preference data quality, red-team probe design. • Strong programming foundation. You can read and reason about an eval harness, write Python comfortably, work with model APIs, and prototype scoring pipelines. • Statistical fluency. You know when an effect is real and when it is noise. • Demonstrated client-facing presence. • Light commercial instinct. • Strong written communication.
• Excellent medical, dental, and vision insurance. • 401k match with immediate vesting. • Health savings/flexible savings account, and pre-tax commuter benefits. • Paid time off: vacation, holidays, sick, and parental leave. • A diverse, collaborative, and positive culture where we invest in and celebrate each other's success (happy hours, team projects, and retreats).
Apply Now🕒 May 17
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