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Remote App Store Optimization Jobs in New York (NOW HIRING)

NextDeavor Inc.

Senior AI Engineer

New York, NY · Remote

$150K - $220K/yr

Senior AI Engineer Full-time Remote Exclusive confidential search -- details shared with qualified ... SFT, preference optimization (DPO, GRPO, RLHF/RLAIF), data curation, and synthetic data generation

Parallelz

Principal Graphics Engineer

New York, NY · Remote

$143K - $177K/yr

... garden app store. You will be getting in at a pivotal stage, contributing to the technical ... optimization, and frame/latency budgeting. * Track record of owning complex, multi-component ...

Bidease

Product Ops Manager

New York, NY · On-site +1

$115K - $130K/yr

We work with top brands, agencies, and app developers to drive measurable growth through data ... The ideal candidate will excel at executing, optimizing, and scaling performance-based advertising ...

Jackpot

User Acquisition Manager

New York, NY · On-site +1

$135K - $150K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area ... app advertising channels, accountable for growth strategies, building & optimizing campaigns ...

Jackpot

User Acquisition Manager

Manhattan, NY · On-site +1

$135K - $150K/yr

While this is a remote position, the ideal candidate must be based in New York state. WHAT YOU'LL ... app advertising channels, accountable for growth strategies, building & optimizing campaigns ...

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All JobsApp Store Optimization JobsRemote App Store Optimization JobsRemote App Store Optimization Jobs in New York

Remote App Store Optimization information

What is the difference between Remote App Store Optimization vs Remote ASO Analyst?

AspectRemote App Store OptimizationRemote ASO Analyst
CredentialsMarketing or digital marketing certifications, ASO coursesMarketing, analytics, or ASO certifications
Work EnvironmentRemote, digital marketing teams, app storesRemote, analytics-focused teams, app stores
Industry UsageApp developers, marketing agencies, tech companiesApp developers, marketing agencies, tech companies
Search & Comparison IntentOptimizing app visibility and downloadsAnalyzing app performance and improving ASO strategies

Remote App Store Optimization involves creating and implementing strategies to improve app visibility and downloads, focusing on keyword optimization, visuals, and metadata. A Remote ASO Analyst typically analyzes app performance data, conducts market research, and recommends improvements. While both roles work remotely within the app marketing industry, Remote App Store Optimization emphasizes strategy execution, whereas Remote ASO Analysts focus on data analysis and insights.

What are the most commonly searched types of App Store Optimization jobs in New York? The most popular types of App Store Optimization jobs in New York are:
What are popular job titles related to Remote App Store Optimization jobs in New York? For Remote App Store Optimization jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote App Store Optimization jobs in New York look for? The top searched job categories for Remote App Store Optimization jobs in New York are:
What cities in New York are hiring for Remote App Store Optimization jobs? Cities in New York with the most Remote App Store Optimization job openings:
Remote App Store Optimization jobs near you
Infographic showing various Remote App Store Optimization job openings in New York as of August 2026, with employment types broken down into 65% Full Time, 32% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Senior AI Engineer

NextDeavor Inc.

New York, NY • Remote

$150K - $220K/yr

Contractor

Posted 14 days ago

Job description

Senior AI Engineer
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Senior AI Engineer

You will help build and advance autonomous offensive security agents and the models that power them, delivering capabilities that improve exploit chaining, multimodal vision, mobile coverage, and customer-facing accuracy. You will collaborate with engineering and platform stakeholders to ship production-grade systems and run in EST hours as a remote contributor.

Here's How You'll Make an Impact on the Team
  • Design, implement, and iterate on named agents, including orchestration patterns, hand-offs, planning loops, tool use, and shared memory
  • Contribute to model training and fine-tuning across data curation, supervised fine-tuning (SFT), preference optimization (DPO/GRPO/RLHF-style), and evaluation
  • Extend the co-evolutionary self-training (Javelin) loop so the system improves from its engagements
  • Build self-improvement systems (false-positive detection, tiered skill learning, agent directives, code-patch proposals) and pipelines for human approval
  • Design security-specific evaluations covering OWASP Top 10, exploit chaining, finding accuracy, and agent reliability; track performance over model and agent changes
  • Contribute to multimodal (vision) and mobile (iOS/Android) coverage and BYOK support efforts
  • Own production reliability: latency, cost, observability, failure-mode analysis, and Kubernetes-based deployment
  • Improve customer-facing accuracy surfaces and live accuracy gauges exposed to customers
Here's What You'll Need to Be Successful in This Role
  • 5+ years building production ML/AI systems, including at least 2 years working directly on LLMs or LLM-powered agents
  • Deep Python and strong production engineering practices (testing, code review, observability)
  • Hands-on fine-tuning experience: SFT, preference optimization (DPO, GRPO, RLHF/RLAIF), data curation, and synthetic data generation
  • Strong grasp of transformer architectures and training stack (PyTorch, Hugging Face, DeepSpeed or FSDP, accelerate)
  • Experience designing and shipping multi-agent or tool-using LLM systems in production
  • Rigorous evaluation design experience: building harnesses, tracking experiments, and data-driven decision making
  • Inference optimization experience (vLLM, TensorRT-LLM, quantization, throughput/latency tradeoffs)
  • Familiarity with retrieval pipelines, vector stores, and structured memory for agents
  • Kubernetes and containerized deployment fluency
  • Genuine interest in offensive security and the ability to ramp quickly on OWASP Top 10, API/web/mobile pentesting concepts
Here's What Else Might Help You Out
  • Offensive security certifications or experience (OSCP/OSWE/OSWA, CTF, bug bounty, red team)
  • Research publications at top ML/security venues or open source contributions to agent/LLM tooling
  • Experience with adversarial ML or red-teaming AI systems
  • Familiarity with mobile app reverse engineering or binary analysis
Pay Range

$150 - $220K/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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