Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Staff Machine Learning Engineer role.

Rezi rewrites your resume against Altana's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Staff Machine Learning Engineer posting at Altana — free, in seconds.

About the Role

Altana is seeking a Senior Staff Machine Learning Engineer to lead the AI development for Altana Nexus, an agentic platform for global trade. This role involves working with diverse trade data to build models and AI agents that provide real-time risk, compliance, and enforcement decisions for governments and large corporations.

Responsibilities

Drive the technical direction for agentic systems, defining architecture and roadmap for models processing trade data.
Build the pipeline from ingestion to decision, designing systems for document understanding, entity resolution, and inference.
Adapt models to trade data using analyst feedback and production outcomes for continuous improvement.
Design the observability and feedback stack, including evals, tracing, and feedback loops.
Lead and mentor senior engineers, raising the technical bar across the Engineering department.
Shape the product and business by collaborating with cross-functional teams and customers.
Generate new business ideas and translate ambiguous problems into shipped capabilities.

Requirements

BS/MS in Computer Science, Machine Learning, or a related field, or equivalent experience.
8+ years of experience building and shipping ML systems in production.
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.
Shipped agentic systems in production, understanding their failure modes (tool use, planning, state, recovery, human-in-the-loop).
Experience post-training or adapting LLMs (SFT, DPO, RLHF/RLAIF, reward modeling) for production use cases.
Rigorous approach to evaluation, including building eval suites, golden datasets, and LLM-as-judge pipelines.
Sound judgment on selecting appropriate models (API, fine-tuned, classical) based on cost, latency, and accuracy.
Passion for applying SOTA techniques to real-world problems and a willingness to work with data and domain specifics.
Commitment to engineering excellence, supportability, and knowledge-sharing.
Strong written and verbal communication skills.
Proficiency with AI coding tools (Cursor, Claude Code).

Skills

Machine Learning
AI Agents
LLM
PyTorch
Hugging Face
scikit-learn
NumPy
Pandas
Polars
Retrieval-Augmented Generation (RAG)
Tool/Function Calling
Agentic Workflows
SFT
DPO
RLHF/RLAIF
Reward Modeling
Evaluation Suites
Golden Datasets
LLM-as-judge Pipelines
Python
Spark
Docker
Git
Kubernetes
Swagger/OpenAPI
AWS
Azure
Databricks
OpenSearch
Postgres
FAISS
MLflow
vLLM
LangGraph
LangSmith/Braintrust
Multi-agent systems
Vector Search
Re-rankers
Embedding Fine-tuning
Vision-language models
Multilingual NLP
LLMOps
MLflow
Databricks Mosaic AI
Guardrails
AI Safety
AI Auditability

Location

United States
UK
New York City
Boston
Washington D.C.
London

Work Type

Remote
Hybrid
Full-time

Experience Level

Senior
8+ years building and shipping ML systems in production

Education Level

BS/MS in Computer Science, Machine Learning, or a related field, or equivalent experience

Salary/Compensations

$205,000 - $240,000 USD

Benefits

Competitive equity grants
Discretionary bonus or variable compensation plan
Flexible Time Off (FTO)
Paid Parental Leave (PPL): 14 weeks for non-birthing/adoptive/foster parents, up to 26 weeks for birthing parents, paid at 100% of base salary.
Medical, vision, and dental benefits with generous employer contributions
High deductible health plan 100% employer paid for employees
Employer contribution to Health Savings Account (HSA)
Flexible Spending Account (FSA) option
Life, short- and long-term disability, and AD&D insurance coverage at no cost
Fidelity 401(k) retirement savings program
Commuter Benefits
Free premium subscription to Calm
Pet Insurance (Wishbone insurance and/or Total Pet vet service)
Employee Assistance Program
Dependent Care FSA

About the Company

Altana is the network for trusted trade, using AI-powered products to build a more resilient and secure global economy.
Our AI-powered product network empowers governments and businesses to keep trade flowing.
Our values are Trust, Resilience, Stewardship, and Courage.
We believe a diverse workforce enables greater creativity, performance, and adaptability.

Equal Opportunity

Altana is an equal opportunity employer and welcomes diversity.
Employment 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 law.
We prohibit discrimination and harassment of any type.
Offers will come from an Altana.ai email address.
We will never ask for payment as part of the interview or onboarding process.