Staff Software Engineer, AI - Hybrid

Octane Lending-posted 3 months ago

$150,000 - $210,000/Yr

Full-time • Senior

Hybrid • New York, NY

501-1,000 employees

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

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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. 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.

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.

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.

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.

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

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