Senior Staff Machine Learning Engineer
Quick Summary
retrieval-augmented generation (RAG), tool/function calling, structured outputs, and agentic workflows You've shipped agentic systems in production and know their failure modes: tool use, planning,
Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing.
We're looking for a Senior Staff Machine Learning Engineer to lead the AI behind Altana Nexus, our agentic platform for global trade. You'll work on a continuous stream of public and proprietary trade data (shipments, customs filings, trade documents), and build the models and AI agents that turn it into real-time decisions on risk, compliance and enforcement for governments and the world's largest companies.
Responsibilities
~1 min read- →Drive the technical direction for agentic systems. Define the architecture and roadmap for the models and agentic systems that process trade data as it arrives (shipments, customs declarations, invoices, bills of lading) and turn it into risk, classification and compliance decisions in real time.
- →Build the pipeline from ingestion to decision. Lead the design of reliable, cost-efficient systems for ingestion, document understanding, entity resolution, inference and routing across models, at the scale of global trade.
- →Adapt models to trade. Use analyst feedback, production outcomes and agent traces to fine-tune and post-train models (SFT, DPO, RL with domain graders) where it measurably beats prompting, and keep every model improving over time.
- →Design the observability and feedback stack. Build the evals, tracing and feedback loops that decide what ships and catch regressions in production.
- →Lead beyond your team. Mentor senior engineers, raise the technical bar across Engineering, and help shape how we hire and level ML talent.
- →Shape the product and the business. Work with software engineers, data scientists, product managers and customers to generate new business ideas and turn ambiguous problems into shipped capabilities.
- BS/MS in Computer Science, Machine Learning, or a related field, or equivalent experience
- 10+ years building and shipping ML systems in production, with a proven track record of delivering product-oriented ML solutions, including recent work on LLM-powered products
- Deep expertise in PyTorch and the modern Python ML stack (Hugging Face, scikit-learn, NumPy, Pandas/Polars)
- Hands-on experience building production LLM applications: retrieval-augmented generation (RAG), tool/function calling, structured outputs, and agentic workflows
- You've shipped agentic systems in production and know their failure modes: tool use, planning, state, recovery and human-in-the-loop
- Experience post-training or adapting LLMs (SFT, DPO, RLHF/RLAIF, reward modeling) for a production use case
- Rigorous about evaluation: you've built eval suites, golden datasets and LLM-as-judge pipelines
- Sound judgment on when to use a frontier model API, a fine-tuned open-weight model, or a classical ML model, balancing cost, latency, and accuracy
- Senior Staff-level technical leadership: you set architecture direction across teams, mentor engineers, and turn ambiguous problems into roadmaps
- Passionate about applying SOTA techniques to real-world problems, with a willingness to get your hands dirty in the data and domain to achieve measurable outcomes
- You care deeply about engineering excellence, supportability and knowledge-sharing
- You have strong written and verbal communication skills
- Heavy user of AI coding tools (Cursor, Claude Code) in your daily workflow
Nice to Have
~1 min read- Building multi-agent systems and agent tooling (e.g., LangGraph)
- Hybrid retrieval: vector search, re-rankers, and embedding fine-tuning
- Vision-language models for document understanding (invoices, bills of lading, customs forms)
- Multilingual NLP
- LLMOps: MLflow, Databricks Mosaic AI, and guardrails
- Experience with safety, guardrails or auditability for AI in regulated or high-stakes domains (e.g., customs, legal, healthcare, finance)
- Languages: Python, Spark
- Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS, Azure
- Datastores: Databricks, OpenSearch, Postgres
- ML Tools: PyTorch, Hugging Face, FAISS, MLflow
- LLM Tools: vLLM, LangGraph, LangSmith/Braintrust, frontier model APIs
What We Offer
~3 min read$250,000 - $295,000 USD
The salary range, to the extent specified for this role, is a good faith statement of the minimum and maximum levels of the annual based salary for the position. The base salary offered to a successful candidate will depend on a wide range of compensation factors, including, but not limited to, work experience, education and/or training, critical skills, and/or business considerations. Competitive equity grants are included in the majority of full time offers; and are considered part of Altana's total compensation package. Altana also offers either a discretionary bonus or a variable compensation plan depending on the role. Additionally, Altana offers top-tier benefits for full-time employees, including:
Our values are the core beliefs that shape who we are, what we stand for, and how we behave.They form the foundation of Altana’s culture and integrity and guide how we hire, design, build, and connect with each other and our customers.
- Trust: Our customers and partners entrust us with missions of the highest importance. We honor that by keeping our word, meeting commitments, and ensuring every action we take reinforces confidence in us. We rely on each other to deliver, to speak openly, and to hold ourselves accountable.
- Resilience: In a world of uncertainty and complexity, our work must withstand challenges, evolve with conditions, and ensure reliability over time. Resilience is both how we operate and what we deliver. It’s how we respond when things don’t go to plan –– we adapt, we support each other, and we keep moving forward.
- Stewardship: We are stewards of every mission we touch. Because our work impacts lives and futures, we hold ourselves accountable to delivering mission impact and never compromising. Our responsibility extends beyond individual projects to the broader system of global trade. We believe that stewardship starts from within so that we can bring focus, creativity, and excellence to our work. Each of us is personally responsible for fostering a workplace where people can thrive. And we are stewards of the greater good of the company. By holding ourselves and each other accountable, we build a culture of innovation and collective success that reflects the scale of our mission.
- Courage: Courage is what unlocks the seemingly impossible for our customers. It’s the core value that drives us make bold moves and take on big, complicated network problems—the ones others avoid. We know success isn't guaranteed, but we have the audacious vision to believe a solution is possible and to build it. Courage fuels our growth mindset. It means embracing challenges that make us stronger, and it’s demonstrated by how we approach hard conversations and complex projects.
At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation.
Offers related to employment at Altana will come from an Altana.ai email address. We will never ask for payment as part of the interview or onboarding process.
Location & Eligibility
About this job
- Pay per year
- $250,000–$295,000 a year
- 31% above the $207,500 median for Machine Learning Engineer jobs on Jobera (774 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- October 14, 2026
- First seen
- October 14, 2026
- Last seen
- October 14, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- October 14, 2026
Signal breakdown
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