Senior Staff Machine Learning Engineer

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Senior Staff Machine Learning Engineer in USA new

Altana
Full time
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USA
11/09/2026
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Brooklyn, NY

Responsibilities

Set the technical direction, architecture, and roadmap for agentic systems processing global trade data in real time.
Design reliable and cost-efficient pipelines covering ingestion, document understanding, entity resolution, inference, and routing across models.
Fine-tune and post-train models using SFT, DPO, and reinforcement learning with domain graders when appropriate.
Build evaluation suites, tracing, observability, and feedback loops to ship reliable models and catch production regressions.
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 product work.
Deep expertise in PyTorch and the modern Python ML stack, including Hugging Face, scikit-learn, NumPy, and Pandas or Polars.
Hands-on experience building production LLM applications using retrieval-augmented generation, tool or function calling, structured outputs, and agentic workflows.
Production experience with agentic systems, including tool use, planning, state, recovery, and human-in-the-loop workflows.
Experience post-training or adapting LLMs through SFT, DPO, RLHF or RLAIF, and reward modeling.
Experience building evaluation suites, golden datasets, and LLM-as-judge pipelines.
Judgment in selecting frontier model APIs, fine-tuned open-weight models, or classical ML models based on cost, latency, and accuracy.
Senior Staff-level technical leadership experience setting architecture direction across teams, mentoring engineers, and creating roadmaps from ambiguous problems.
Strong written and verbal communication, engineering judgment, supportability, knowledge-sharing, and willingness to work deeply with data and domain problems.
Heavy daily use of AI coding tools such as Cursor and Claude Code.
Preferred experience includes multi-agent systems, LangGraph, hybrid retrieval, vector search, re-rankers, embedding fine-tuning, vision-language models, multilingual NLP, LLMOps, MLflow, Databricks Mosaic AI, guardrails, and AI safety or auditability in regulated or high-stakes domains.

Benefits

$250,000–$295,000 annual base salary, plus competitive equity grants for most full-time offers and either a discretionary bonus or variable compensation plan depending on the role.
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, a fully employer-paid high-deductible health plan, HSA contributions, and an FSA option.
Employer-provided life, short- and long-term disability, and AD&D insurance.
Fidelity 401(k) retirement savings program.
Pre-tax commuter benefits for public transit or parking.
Free premium Calm subscription and access to an Employee Assistance Program.
Pet insurance and veterinary telehealth discounts.
Dependent Care FSA.
Brooklyn, NY location with hybrid work flexibility; candidates must be within commuting distance of the Williamsburg office.

Salary: $250k - $295k/yr

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 ...

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