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

Antimetal

Research Engineer

New York, NY · On-site

$200K - $400K/yr

Autonomous Agents : Long-running, parallel agents that detect, diagnose, and remediate ... Love working in a startup environment (experience in a startup or obsession with going zero-to-one)

TailorMed

Principal Product Manager

New York, NY · Remote

In parallel, you will drive product initiatives that simplify and accelerate complex healthcare ... Lead zero-to-one initiatives that bring automation, intelligence, and operational efficiency into ...

Cross River

Senior Product Marketing Manager

Fort Lee, NJ

$126K - $165K/yr

... parallel or conflicting narratives. We need someone who can see both the big picture lens and the zero-ed in lens. * Translate technical product capabilities (APIs, ledger infrastructure) into ...

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 ...

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 ...

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 ...

CookUnity

Smart Fridge Launch Manager

New York, NY

... In parallel with new deployments, you will personally lead two concurrent upgrade rollouts across ... with zero disruption to active locations * Shelf Pusher & Branding V2: Own the physical ...

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

$200K - $300K/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 ...

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 ...

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 ...

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 ...

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Showing results 21-40

All JobsZero Parallel JobsZero Parallel Jobs in Spring Valley, NY

Zero Parallel information

See Spring Valley, NY salary details

$15

$34

$51

How much do zero parallel jobs pay per hour?

As of Sep 2, 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 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 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 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 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 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

Research Engineer

Antimetal

New York, NY • On-site

$200K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

We're looking for a Research Engineer to build the intelligent systems that power Antimetal. You'll prototype new approaches, run experiments, and own the path from research to production. You'll work closely with platform and product to shape agent capabilities and contribute to evaluation methodology.
Infrastructure, and its corresponding observability, is a hard domain to model. Telemetry is high-volume, noisy, and ephemeral. Ground truth is approximate. We're building AI agents that understand this complexity and can reason about what's happening, why, and how to fix it, including making changes to code and configuration.
Research Areas
Infrastructure Intelligence: Models that help us understand what's happening in infrastructure and why. Detecting anomalies, forecasting issues, analyzing telemetry across logs, metrics, events, and traces, understanding causality, and connecting runtime behavior back to code. These capabilities form the foundation our agents use to reason about infrastructure.
Autonomous Agents: Long-running, parallel agents that detect, diagnose, and remediate infrastructure issues, including fixing code and configuration. Advancing multi-step reasoning, orchestration, context management, memory, and reinforcement learning.
Evaluation: Making sure agents work well and informing how we improve. Partnering with platform to build evaluation methodology, generate synthetic data, analyze historical incidents, and model the domain.
About Antimetal
Antimetal is building the future of infrastructure management. We're starting by creating a platform that investigates, resolves, and prevents issues-giving engineers their time back to focus on what they do best: building great products.
What You'll Do:
  • Experiment, Evaluate, Iterate, Ship: Run experiments across our research areas, analyze results, validate what works, and take successful approaches to production.
  • Build Evaluation Infrastructure: Partner with platform on live and offline evaluation pipelines, benchmarks, and synthetic data generation. Build the tooling that lets the team measure progress and iterate with confidence.
  • Explore Research Directions: Apply and develop techniques from best-in-class AI Agents, ML, and SRE research to our problem domain. Experiment with new approaches to reasoning, retrieval, codebase mapping, and agent architectures.
  • Collaborate Across Teams: Work with platform and product to integrate capabilities and productionize prototypes into scalable and reliable services.

What you bring:
  • 4+ years of experience in applied ML, research engineering, preferably at a company shipping production AI systems
  • Production experience contributing to agentic/LLM systems, including multi-step reasoning, reinforcement learning, fine-tuning, and orchestration.
  • Proven experience bringing work from prototype to production, using data and experimentation to drive product and architectural decisions
  • Strong on ML fundamentals: statistical modeling, probabilistic methods, time-series analysis, evaluation methodology.
  • Real world expertise in one area of applied ML: search, statistical modeling, NLP, etc.
  • Experience constructing and running end-to-end evaluation pipelines with real world data.
  • Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools.
  • Strong problem-solving skills, with a focus on creating highly maintainable, scalable code.
  • Comfortable with ambiguity and iterative development, prototyping, and adapting quickly to feedback.

Bonus:
  • Exposure to interpretability, robustness, or AI safety research.
  • Experience with multimodal models (text + images, logs, or other data types).
  • Track record of contributions to ML research (open-source repos, papers, workshops).
  • Strong foundations in statistics, optimization, or experimental design.
  • Experience deploying research models into production environments.

Who you are:
  • Identify as a builder.
  • Are excited to work in-person from our new and spacious office in New York.
  • Love working in a startup environment (experience in a startup or obsession with going zero-to-one).
  • Enjoy working with people who are ambitious, caring, and think in systems.
  • Thrive in a fast-paced iterative environment where experimentation is essential.

What we bring:
  • Pay & ownership - Competitive salary with generous equity grants.
  • Full coverage + retirement - Fully covered health, dental, and vision, plus retirement benefits.
  • Unlimited PTO - Take the time you need to recharge.
  • Dinner on late nights - Working late? Dinner is on us.
  • Fitness stipend - Monthly support for your health and wellness.
  • Tools of the trade - Any equipment you need to do your best work.
  • Commute perks - Citi Bike + train benefits.

Interview process
  1. Application Review - Send us your stuff, and a quick note on why you're excited.
  2. Intro Chat: Share what you're looking for next and learn more about what we're building.
  3. Founder Interview: Talk with one of our founders in more detail about the role
  4. Technical Interview: We'll have you complete a short exercise specific to the role.
  5. Onsite: Come onsite and meet the team through a series of 1:1 interviews.
  6. Decision - We'll move fast.

Apply