3 hours ago
Base Salary
$250k - $295k/yr
Responsibilities
- Set the technical direction, architecture, and roadmap for agentic systems that process trade data and produce real-time risk, classification, and compliance decisions.
- Design reliable and cost-efficient pipelines covering data ingestion, document understanding, entity resolution, inference, and model routing.
- Fine-tune and post-train models using SFT, DPO, reinforcement learning, domain graders, analyst feedback, production outcomes, and agent traces.
- Build evaluation, tracing, observability, and feedback systems that identify regressions and guide production releases.
- Mentor senior engineers, raise engineering standards, and help shape ML hiring and leveling.
- Collaborate with software engineers, data scientists, product managers, and customers to turn ambiguous problems into shipped capabilities and new business ideas.
Requirements
- Bachelor's or master's degree in computer science, machine learning, or a related field, or equivalent experience.
- 10+ years of experience building and shipping production ML systems and product-oriented ML solutions, including recent LLM-powered products.
- Deep expertise in PyTorch and the modern Python ML stack, including Hugging Face, scikit-learn, NumPy, and Pandas/Polars.
- Hands-on experience building production LLM applications using RAG, tool or function calling, structured outputs, and agentic workflows.
- Experience shipping agentic systems and understanding tool use, planning, state, recovery, and human-in-the-loop workflows.
- Experience post-training or adapting LLMs using SFT, DPO, RLHF/RLAIF, or reward modeling.
- Experience building evaluation suites, golden datasets, and LLM-as-judge pipelines.
- Ability to choose among frontier model APIs, fine-tuned open-weight models, and classical ML models based on cost, latency, and accuracy.
- Senior Staff-level technical leadership, including setting architecture direction across teams, mentoring engineers, and creating roadmaps from ambiguous problems.
- Preferred experience with multi-agent systems, LangGraph, hybrid retrieval, vision-language models, multilingual NLP, LLMOps, safety, guardrails, or auditability in regulated or high-stakes domains.
- Strong written and verbal communication skills and a demonstrated commitment to engineering excellence, supportability, and knowledge-sharing.
- Heavy daily use of AI coding tools such as Cursor and Claude Code.
Benefits
- Remote or hybrid work in the United States or UK, with optional hubs in New York City, Boston, Washington D.C., or London.
- Flexible Time Off policy.
- Paid parental leave of 14 weeks for non-birthing, adoptive, and foster parents and up to 26 weeks for birthing parents, paid at 100% of base salary.
- Medical, vision, and dental benefits with employer contributions, including a fully employer-paid high deductible health plan and HSA contribution.
- Employer-paid life, short-term disability, long-term disability, and AD&D insurance.
- Fidelity 401(k) savings program.
- Pre-tax commuter benefits for public transit or parking.
- Free Calm premium subscription and an Employee Assistance Program.
- Pet insurance and veterinary telehealth discounts.
- Dependent Care FSA.
- Competitive equity grants and either a discretionary bonus or variable compensation plan may be included for full-time employees.
Tech Stack
Apache SparkAWSAzureDatabricksDockerGitKubernetesMLflowNumPyPandasPostgreSQLPythonPyTorchscikit-learn
Categories
About Altana
Altana builds an AI-powered network and software platform for global trade visibility and value chain management used by enterprises and governments. Its SaaS products connect importers, suppliers, logistics providers, and customs agencies to share data for compliance, classification, and supply chain risk. Founded in 2018 and headquartered in New York, Altana serves customers such as Maersk, Boston Scientific, L.L.Bean, U.S. Customs and Border Protection, and the UK Department for Business and Trade.