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Zero Parallel Jobs in Spring Valley, NY (NOW HIRING)

Nscale

VP, Physical AI GTM

New York, NY · On-site

$196K - $253K/yr

This is a thrilling zero-to-one challenge where you will act as a "full-stack" VP and player-coach ... and parallel processing architectures. - A fiercely entrepreneurial spirit. You seamlessly and ...

Consumer Reports

Strategist, Audience Development

Yonkers, NY · Hybrid

$85K - $98K/yr

... parallel with consumer's changing needs. Areas of focus will include: * Lead and drive the day-to ... Google Analytics, Adobe Analytics and bring a proficient understanding of zero-click behavior, AI ...

Consumer Reports

Strategist, Audience Development

Yonkers, NY · On-site

$85K - $98K/yr

... parallel with consumer's changing needs. Areas of focus will include: * Lead and drive the day-to ... Google Analytics, Adobe Analytics and bring a proficient understanding of zero-click behavior, AI ...

Bubble Group, Inc

Customer Success Manager

New York, NY · On-site

$85K - $115K/yr

Mailead grew a $10K investment into a $2M valuation, and Faceless.video went from zero to $1M+ ARR ... parallel * Drive steady-state engagement through monthly signal-driven check-ins and QBRs with ...

Ascertain

Staff Product Manager, Automation

New York, NY · On-site +1

$160K - $220K/yr

Experience working in zero-to-one or early-scaling environments where the product, the customer, and the operating model are all being figured out in parallel. * Excellent written communication. You ...

Patlytics

Growth Marketing Manager

New York, NY · On-site

$130K - $180K/yr

... parallel efforts What You'll Need • 4+ years in B2B SaaS growth or demand generation, with at ... programs from zero, not just optimized mature ones What Success Looks Like • 10 days: Fully ...

Kepler

Full Stack Engineer

New York, NY · On-site

$200K - $280K/yr

We started in finance because the stakes are highest and the tolerance for error is zero. We've ... parallel workflow * Add verification rules that cross-check extracted values across multiple ...

Kepler

Backend Software Engineer

New York, NY · On-site

$200K - $280K/yr

We started in finance because the stakes are highest and the tolerance for error is zero. We've ... parallel workflow. * Ship the service behind our source explorer that resolves any value in the ...

Fluidstack

Strategic Transactions Lead

New York, NY · On-site

$147K - $187K/yr

Zero analogy thinking, no egos, the best idea wins. * Love of the game. The frontier of AI is the ... parallel. * Run the daily operating rhythm of syncs, decisions, escalations, and tracker updates ...

Clark

Founding Recruiter

New York, NY · On-site

$135K - $180K/yr

... parallel. Every week of hiring slippage is a week of product and revenue slippage. Your job is to ... Comfortable with ambiguity and building from zero. There is no playbook here yet; you're writing it

Fluidstack

GRC Analyst

New York, NY · On-site

$182K - $224K/yr

Zero analogy thinking, no egos, the best idea wins. * Love of the game. The frontier of AI is the ... Mapping controls across SOC 2, ISO 27001, and NIST in parallel. Salary & Benefits * Competitive ...

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Zero Parallel information

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$15

$34

$51

How much do zero parallel jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for zero parallel in Spring Valley, NY is $34.08, according to ZipRecruiter salary data. Most workers in this role earn between $25.34 and $46.30 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Affiliate Marketing Manager at Zero Parallel, and why are they important?

To thrive as an Affiliate Marketing Manager, you need a solid understanding of digital marketing strategies, analytics, and affiliate program management, often supported by a marketing degree or relevant experience. Proficiency in affiliate tracking platforms, CRM software, and analytics tools like Google Analytics is typically required. Strong negotiation, relationship-building, and problem-solving skills help you build successful partnerships and optimize campaigns. These skills ensure effective campaign management, drive revenue growth, and foster long-term business relationships in a competitive market.

What is Zero Parallel?

Zero Parallel is a leading affiliate marketing network that specializes in connecting online publishers and marketers with financial service providers, such as payday and installment loan lenders. The company helps affiliates earn commissions by directing qualified leads to its network of lenders, primarily in the short-term lending industry. Zero Parallel provides tools, tracking, and support to help affiliates maximize their earnings and optimize their marketing campaigns.

What is the difference between Zero Parallel vs Data Analyst?

AspectZero ParallelData Analyst
Required CredentialsTypically requires a background in computer science or engineering, with skills in parallel computing and programming languages like C++ or Python.Usually needs a degree in statistics, mathematics, or related fields, with proficiency in data analysis tools like Excel, SQL, and visualization software.
Work EnvironmentWorks primarily in tech companies, research labs, or industries focusing on high-performance computing.Employed across various sectors including finance, healthcare, marketing, and consulting, often in office settings.
Industry UsageCommonly used in fields requiring parallel processing and high computational power.Widely used in data-driven decision-making, reporting, and business insights.

While Zero Parallel focuses on parallel computing and high-performance processing, Data Analysts concentrate on interpreting data to inform business decisions. Both roles require analytical skills but differ in technical focus and industry application.

What are some common challenges faced by professionals working at Zero Parallel, and how can applicants prepare for them?

Professionals at Zero Parallel often work in a fast-paced, dynamic environment that requires adaptability and quick decision-making. Common challenges include managing multiple affiliate partnerships, staying updated with industry compliance standards, and meeting ambitious performance targets. Applicants can prepare by developing strong communication skills, staying informed about digital marketing trends, and becoming proficient with analytics tools. Collaboration is key, as teams frequently coordinate campaigns and share insights to drive results.
What cities near Spring Valley, NY are hiring for Zero Parallel jobs? Cities near Spring Valley, NY with the most Zero Parallel job openings:
Zero Parallel jobs near you

Machine Learning Engineer 5 - Decisioning & Optimization

Netflix

New York, NY • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 10 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 rated media

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
Our Team
The Decisioning & Optimization engineering team owns the systems that determine which ad wins every impression, at what price, and how campaign budgets deliver across all inventory surfaces. Our work spans three platform areas:
  • ML infrastructure for model serving: real-time inference at 1M+ QPS, multi-model parallel evaluation, feature hydration, model lifecycle from canary deployment through production monitoring
  • Auction, ranking, and scoring: multi-stage candidate selection, scoring, bid valuation, dynamic pricing, and podding
  • Budget, pacing, and bidding: control systems for delivery optimization, budget planning, and bid computation

We are scaling from a handful of production models to 10+ while maintaining sub-20ms P99 inference budgets. We are looking for an ML engineer who can build and operate the serving infrastructure these models run on, and who understands the ads decisioning context well enough to make the right engineering tradeoffs.
What You'll Do
  • Build and operate end-to-end ML model serving infrastructure for real-time ad decisioning: model publishing, packaging, validation, deployment into the serving stack with zero-downtime hot-swap
  • Scale the inference path to support dozens of concurrent models on every ad request at 1M+ QPS with strict latency budgets, including batching strategies, CPU/GPU allocation, model versioning, and fallback tiers
  • Design and optimize the feature serving path: feature hydration from Chronon, Signal Service, and real-time streams with sub-10ms P99 fetch latency and online/offline consistency
  • Productionize scoring and ranking models for multi-stage ad selection (retrieval, early ranking, full scoring) and integrate model outputs into auction
  • Build model performance monitoring in production: inference latency, prediction distribution shifts, feature drift detection, score calibration, and regression detection before revenue impact
  • Partner closely with Data Science & Platform teams
  • Build simulation infrastructure to replay production traffic against candidate models offline, enabling validation of marketplace changes before live rollout
  • Drive operational excellence for ML systems: reliability, observability, capacity planning, incident response, and scaling for live events with 35M+ concurrent viewers

Skills & Experience We're Seeking
  • 7+ years of software engineering experience; 3+ years focused on ML infrastructure, model serving, or ML platform work in an ads or real-time decisioning context
  • Built and operated real-time model serving systems at high QPS with sub-20ms latency: online inference, feature stores, model registries, model hot-swap, canary and shadow rollout
  • Proficiency in Java, Python, or Scala with a solid understanding of multi-threading, memory management, and performance optimization for latency-critical paths
  • Hands-on with ML serving frameworks: serialization, runtime optimization, and deployment constraints
  • Experience with feature engineering pipelines for real-time systems: online/offline consistency, hydration strategies, caching, and freshness tradeoffs
  • Strong understanding of model monitoring in production: drift detection, prediction distribution analysis, calibration, and latency profiling
  • Comfortable working at the boundary between ML research and production engineering: can take a model artifact and turn it into a production-ready service that meets SLA
  • Demonstrated ability to operate in an environment that requires both big-tech scale and startup speed

Nice to Haves
  • Ads domain experience: ranking models, bid scoring, reserve pricing, yield optimization, dynamic allocation across guaranteed and non-guaranteed inventory
  • Experience with auction mechanics: multi-stage ranking, bid shading, bid prediction, marketplace competition dynamics
  • Built or improved budget pacing and delivery control systems
  • Built simulation or counterfactual testing platforms for marketplace or auction systems
  • Experience with A/B testing infrastructure for model rollouts: online experiments, holdout groups, interference-aware evaluation in marketplace settings
  • Familiar with CTV constraints: server-side ad insertion, live event ad serving at scale, burst traffic patterns
  • JVM ecosystem

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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