Octane® · 1 week ago
Staff Software Engineer, AI - Hybrid
New York, NY
Full-time
Hybrid
Senior Level, Lead/Staff
$150K/yr - $210K/yr
5+ years expOctane is a company focused on unlocking the power of financial products for merchants and consumers through innovative technology. They are seeking a Staff Software Engineer specializing in AI to lead the design and deployment of advanced machine learning solutions, collaborating with cross-functional teams to drive the AI strategy and ensure ethical and reliable AI practices.
CreditFinancial ServicesFinTechLending
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
Qualification
Required
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
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
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
Company
Octane®
Octane® is revolutionizing recreational purchases by delivering a seamless, end-to-end digital buying experience.
501-1000 employees
H1B Sponsorship
Octane® has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (13)
2024 (4)
2023 (2)
2022 (13)
2021 (10)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$4.31BKey Investors
Valar VenturesRoadrunner FinancialMoore Capital
2025-12-15Series F· $50M
2025-12-15Secondary Market· $50M
2025-12-02Debt Financing· $219M
Leadership Team
Jason Guss
CEO
Mark Davidson
Co-Founder & Chief Revenue Officer
Recent News
2026-01-08
2025-12-27
Company data provided by crunchbase