Base Salary
$210k - $300k/yr
Responsibilities
- Own ML pipelines and infrastructure from experimentation through production, including training, inference, and agentic workloads.
- Create reproducible environments and paved paths for the AI/ML team to move models and agents from prototype to production.
- Build the cloud foundation with infrastructure as code and CI/CD for safe ML releases.
- Serve and optimize inference and forecasting workloads for latency, throughput, and cost, including their supporting data streams.
- Own data interfaces with data engineering and integrate model and agent outputs into Confido’s platform data systems.
- Establish production defaults for reliability, observability, security, privacy, online evaluations, and human-in-the-loop quality review.
Requirements
- 5+ years of experience in MLOps, ML platform, AI infrastructure, or platform engineering on production ML systems.
- Strong production software engineering and cloud infrastructure skills, including distributed data systems, infrastructure as code, CI/CD, and containerized workloads.
- Strong Python skills and comfort working in Ruby or Java production codebases.
- Experience owning an end-to-end ML pipeline and making architecture, security, and cost trade-offs.
- Experience productionizing systems built by research or AI teams.
- Experience with LLMOps tooling, inference optimization, GPU or spot-instance economics, ML orchestration, large-scale data systems, managed ML services, or multimodal and generative AI is preferred.
Benefits
- Small, fully in-person team in New York City, with relocation support.
- Equity participation.
- Fully paid Aetna health coverage, plus Guardian dental and vision coverage.
- 12 weeks of paid parental leave.
- Unlimited PTO and regular four-day holiday weekends.
- 401(k) through Vestwell.
- Paid relocation.
- Desk setup provided on day one, plus a $200 customization stipend.
- Catered Friday lunches, team dinners, and unlimited coffee and snacks.
Tech Stack
Categories
About Confido
Confido is the AI infrastructure powering CPG brands from deduction to production plan. Back-office infrastructure for CPG has long been manual and disjointed - until now. Finance, accounting, sales, and operations teams have been stuck manually pulling data from portals, PDFs, and emails. Workflows are historically disparate with information scattered across systems. Confido brings it all together in one integrated, AI-powered platform. Cash application, deductions, disputes, trade promotion management, sales forecasting, demand planning, and analytics are seamlessly connected in a single system purpose-built for CPG. The result: measurable time savings across departments, smarter top- and bottom-line decision-making, and the speed to scale. Confido is trusted by 200+ brands managing $20B+ in revenue, including OLIPOP, Simple Mills, Dr. Squatch, Tropicana, and more.