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Octane Ai Jobs (NOW HIRING)

Clearview AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent ... www.clearview.ai. Senior Machine Learning Engineer Position Summary: We are hiring a highly ...

Clearview AI

Senior Software Engineer

Manhattan, NY · On-site

$175K - $220K/yr

Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent ... ai. Position Summary: We are hiring a Senior Platform Engineer to design, build, and operate the ...

Clearview AI, Inc.

Senior Software Engineer

New York, NY

$134K - $176K/yr

Clearview AI is the leading provider of facial recognition technologies to US law enforcement ... Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent ...

Collabera

Database Engineer

Minneapolis, MN · On-site

$63 - $65/hr

... Octane/Robot Framework Advanced development skills that include comprehensive testing and utilization of AI tools. Ability to leverage AI agents for code generation, debugging, refactoring, and ...

New

Realtor.com Careers

Sr. Strategy Director

Austin, TX

RDC is seeking a high-octane Senior Strategy Director . This is a unique opportunity to have a ... Synthesize signals from AI advancements, Market Trends, Competitor Landscape, and Core Business to ...

Meta

Product Visualization Specialist- Robotics

Seattle, WA · On-site

$144K - $204K/yr

... AI tools such as Figma Weave, Leonardo, or similar tools • Experience working with 3D CAD data • Experience in a physically-based rendering program (Redshift, Octane, V-Ray, Arnold, Corona, etc ...

Saviynt

Staff Product Operations Manager

OR · Remote

As our Staff Product Operations Manager , you'll step into a high-octane role right at the intersection of strategy, execution, and cutting-edge AI automation. We are looking for a builder to ...

ehomes - Downey

Real Estate Sales Agent

Downey, CA · On-site +1

$85K - $114K/yr

In today's market, high-octane technology isn't a "luxury"-it is the only way to stay relevant and scale. While other brokerages are just starting to talk about AI, ehomes has already built the ...

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Octane Ai information

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How much do octane ai jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for octane ai in the United States is $30.10, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $31.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Octane AI Specialist, and why are they important?

To thrive as an Octane AI Specialist, you need a strong grasp of ecommerce marketing, conversational design, and data analysis, often supported by experience with Shopify and AI-driven customer engagement tools. Familiarity with Octane AI's platform, integration with ecommerce systems, and knowledge of analytics dashboards or chatbot-building tools is typically required. Creativity, problem-solving, and excellent communication skills help specialists develop personalized experiences and drive customer engagement. These abilities are crucial for delivering effective automated interactions that boost sales and build brand loyalty in a competitive ecommerce landscape.

What's the highest paying AI job?

The highest paying AI jobs typically include AI research scientists, machine learning engineers, and AI architects, with salaries often exceeding $150,000 annually depending on experience, location, and industry. Senior roles requiring advanced skills in deep learning, natural language processing, and proficiency with tools like TensorFlow or PyTorch tend to offer the highest compensation.

How does working in an Octane Ai role typically involve cross-functional collaboration within e-commerce teams?

In a role at Octane Ai, you'll frequently collaborate with marketing, sales, product, and customer success teams to create and optimize conversational commerce experiences for clients. This cross-functional work is essential because it ensures that the AI-driven solutions align with both technical feasibility and business goals. It's common to participate in strategy sessions, provide feedback on product improvements, and support clients in implementing Octane Ai tools to drive sales and engagement. Such collaboration not only enhances project outcomes but also provides opportunities to learn from diverse perspectives and advance your skills within the e-commerce technology space.

What is Octane AI?

Octane AI is a platform that helps e-commerce businesses, especially those using Shopify, to increase sales and personalize customer experiences through quizzes, product recommendations, and conversational commerce tools. It allows brands to create interactive quizzes that guide shoppers to the right products, collect valuable customer data, and automate personalized marketing messages. Octane AI also integrates with various e-commerce and marketing tools to streamline communication and improve customer engagement.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior data scientist, machine learning engineer, or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized expertise, and may require advanced degrees or certifications, with compensation reflecting experience and impact.

Who is the CEO of Octane AI?

The CEO of Octane AI is Matt Schlicht. He co-founded the company and leads its strategic direction in developing chatbot and marketing automation tools for e-commerce businesses.

What is the difference between Octane Ai vs Data Analyst?

AspectOctane AiData Analyst
Required CredentialsExperience with AI tools, data analysis, and programmingBachelor's degree in Data Science, Statistics, or related field
Work EnvironmentTech companies, marketing agencies, AI-focused firmsCorporate, consulting, or finance sectors
Industry UsageAI-driven marketing, automation, and analyticsData interpretation, reporting, and decision support

While Octane Ai specializes in AI-powered marketing automation and customer engagement, Data Analysts focus on interpreting data to inform business decisions. Both roles require analytical skills, but Octane Ai professionals often work with AI tools and automation platforms, whereas Data Analysts primarily analyze datasets and generate reports.

Which 3 jobs will survive AI?

Octane Ai professionals working in roles such as AI trainers, data analysts, and customer support specialists are likely to continue thriving as these jobs require human judgment, emotional intelligence, and domain expertise that AI cannot fully replicate. Skills in managing AI tools, understanding complex data, and providing personalized service will remain valuable in the evolving job market.
More about Octane Ai jobs
What states have the most Octane Ai jobs? States with the most job openings for Octane Ai jobs include:
What job categories do people searching Octane Ai jobs look for? The top searched job categories for Octane Ai jobs are:
Octane Ai jobs near you
Infographic showing various Octane Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $62,612 per year, or $30.1 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Clearview AI

Manhattan, NY • On-site

$115K - $158K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

Senior Machine Learning Engineer
Department: Engineering
Employment Type: Full Time
Location: New York, NY
Description
Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. Our mission is to help our users solve crimes and prevent financial fraud with the responsible use of our facial recognition software. Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent team members to join our team. To learn more about us, and our revolutionary facial recognition technology, please visit www.clearview.ai.
Senior Machine Learning Engineer
Position Summary: We are hiring a highly technical individual contributor to push the limits of our computer vision and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship models, not manage a team. Much of the work involves large-scale visual understanding, extracting structured signals from imagery and reasoning about the real-world context behind a photograph, but we care more about deep ML/CV ability than any one problem area and welcome strong generalists.
Responsibilities:
  • Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production
  • Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning
  • Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale
  • Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks
  • Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies
  • Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration
  • Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code
  • Implement efficient, scalable data pipelines and inference infrastructure
  • Develop high-performance tooling in ML and data engineering
  • Additional duties and responsibilities as reasonably required by the employee's supervisor or CEO

Requirements and Experience
Requirements:
  • Experience building, training, evaluating, and deploying ML models in production
  • Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models
  • Strong software engineering ability to build and maintain complex systems and work with large-scale datasets
  • Ability to solve open-ended problems and quickly learn new domains
  • Comfort operating with significant ownership and autonomy, making pragmatic trade-offs between model sophistication, velocity, inference and business constraints
  • BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience

Nice to have:
  • Experience inferring structured, real-world attributes from images
  • Experience training models on large-scale, real-world image datasets
  • Familiarity with vision-language models (VLMs)
  • Ability to digest academic literature, prototype novel algorithms, and bridge the gap between research and production code
  • Experience building LLM or VLM pipelines and the evaluation frameworks to measure their performance
  • Experience in an ML role at a growth-stage startup
  • Publications in major ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV)

Benefits
  • Medical, Dental, Vision, STD and LTD Plans
  • FSA - Medical and Dependent Care
  • EAP and wellness programs
  • 13 Paid Holidays
  • Unlimited PTO
  • Flexible work environment - 100% remote
  • 401(k) plan

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