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Octane® is revolutionizing recreational purchases by delivering a seamless, end-to-end digital buying experience. We connect people with their passions by combining cutting-edge technology and innovative risk strategies to make lifestyle purchases - like powersports vehicles, RVs, and OPE - fast, easy, and accessible.

Octane adds value throughout the customer journey: inspiring enthusiasts with our editorial brands, including Cycle World® and UTV Driver®, instantly prequalifying consumers for financing online, routing customers to dealerships for an easy closing, and supporting customers throughout their loan with superior loan servicing.

Founded in 2014, we’re a company with 550+ employees and over 30 OEM and 4,000 dealer partners.

At Octane, we’re building innovative technology solutions that power smarter, faster, and more efficient decision-making. We are seeking an accomplished AI/ML Technical Lead to drive the design, development, and deployment of advanced machine learning solutions that scale seamlessly in production environments. In this role, you’ll shape the strategy for how AI is leveraged across the organization, partnering with cross-functional teams to translate business goals into technical solutions that are not only state-of-the-art, but also ethical, secure, and reliable.

This position is ideal for a hands-on leader who thrives at the intersection of research and engineering. You will mentor engineers and data scientists, establish best practices for MLOps, and ensure models deliver consistent value long after deployment. With opportunities to explore cutting-edge fields like generative AI, large language models, natural language processing, and computer vision, you’ll play a pivotal role in setting the technical standard for Octane’s AI initiatives while guiding the team toward innovation and measurable impact.

Responsibilities:

• Lead the end-to-end design, development, and deployment of advanced AI/ML systems, ensuring production environments are scalable, efficient, and highly performant.
• Collaborate with cross-functional teams to define AI strategy, evaluate use cases, and translate business objectives into actionable technical solutions.
• Build, optimize, and maintain machine learning pipelines, covering data ingestion, preprocessing, model training, evaluation, deployment, and ongoing monitoring.
• Establish and champion MLOps best practices, including CI/CD for ML workflows, automated testing frameworks, and continuous model performance monitoring to prevent drift.
• Serve as a technical mentor and leader, guiding engineers and data scientists on system architecture, coding standards, and efficient development practices.
• Research and evaluate emerging AI methodologies, frameworks, and tools, integrating innovative approaches into the organization’s technology stack where applicable.
• Ensure AI solutions meet ethical, security, and compliance standards, including model explainability, bias mitigation, and data privacy requirements.
• Partner with engineering leadership to set technical strategy, establish architectural guidelines, and define standards that shape the future of AI initiatives at Octane.

Requirements:

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field with 5+ years of professional experience, or Bachelor’s degree with 8+ years of experience in AI/ML engineering.
• Proven expertise with leading ML/DL frameworks such as TensorFlow, PyTorch, or JAX, with hands-on experience training and deploying models.
• Strong programming proficiency in Python, with additional experience using languages such as C++ or Java for performance-critical applications.
• Practical experience with MLOps tools and workflows, including MLflow, Kubeflow, SageMaker, or Vertex AI to streamline model lifecycle management.
• Deep understanding of data engineering concepts such as data pipelines, preprocessing, and distributed computing, as well as hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Demonstrated success designing, deploying, and optimizing AI/ML systems at scale, including model serving, monitoring, and iteration.
• Strong communication and collaboration skills, with the ability to influence technical direction and align diverse stakeholders.

Preferred Skills:

• Experience with generative AI and large language models (LLMs), including prompt engineering and fine-tuning approaches.
• Knowledge of advanced ML domains such as natural language processing (NLP), computer vision, reinforcement learning, or recommendation systems.
• Familiarity with containerization and orchestration technologies, including Docker and Kubernetes, to support scalable deployment.
• Hands-on experience with infrastructure-as-code (IaC) tools, such as Terraform or Ansible, to enable automated and reproducible infrastructure management.
• Contributions to the AI/ML community, such as open-source projects, conference presentations, or peer-reviewed research publications.

Compensation: In addition to salary, Total Rewards include bonus eligibility, a stock option package, and benefits as outlined below. The role described above offers a base salary of $150,000 to $210,000 + bonus incentive eligibility. Your offer will be based on location, the alignment of your qualifications with the requirements of the job and internal equity.

Benefits:

• Robust Health Care Plans (Medical, Dental & Vision)
• Generous Parental Leave
• Flexible Time Off (FTO) Policy - Time Off When You Need It
• Retirement Plan (401k) with company match!
• Educational Assistance/Tuition Reimbursement up to $3K/year
• Life Insurance (Basic, Voluntary & AD&D)
• Short Term / Long Term Disability
• Robust Ancillary benefits including accident insurance, hospital insurance, etc
• Wellhub (Gympass) Wellness Benefit
• Powersports Safety Benefit

Disclaimer: The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

Octane Lending is an equal opportunity employer committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status with respect to recruitment, hiring, promotion and other terms and conditions of employment.

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