Lead AI/ML Engineer
At a glance
Senior Machine Learning Engineering role at Arkestro. United States · $160,000–$200,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch machine-learning and agentic AI features, then embed them in product engineering work
- Shape AI/ML architecture with engineering partners and contribute to dbt and data pipelines when your systems need them
- Set evaluation criteria and ground truth for your projects, working with product managers and stakeholders
- Create production tooling that accounts for speed, cost, errors, safety and reliability
- Guide engineers on AI/ML practices and explain AI features to technical teams, business partners or customers
What you bring
- At least six years in data science, ML engineering or a related quantitative or engineering field, including production AI or ML delivery
- Strong software engineering skills, especially with Python, plus hands-on experience shipping ML models or AI features
- You have built evaluation datasets or ground truth for machine-learning or language-model systems
- You bring MLOps experience, practical knowledge of production ML and AI, and familiarity with cloud platforms and data warehouses
- You can lead technical work independently and shape direction without formal authority
Who this fits
This role suits a senior engineer who wants broad ownership from design through production, rather than a narrow specialty. You'll work closely with an existing ML engineer and product engineering teams, with occasional customer or customer-team conversations. The role is remote-first, with regular in-person team gatherings, design sprints and customer visits.
From the employer
About Arkestro
Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations. It moves teams away from reactive supplier bidding toward data-driven offers that reduce friction and help both buyers and suppliers reach better outcomes faster.
Arkestro helps procurement teams influence more enterprise spend and uncover savings that traditional sourcing approaches often leave behind by applying predictive intelligence to how sourcing events are designed and executed.
We’re a hyper-growth company looking for people who take ownership and are comfortable working through complexity. This is a tremendous opportunity if you want to do meaningful work and help shape how large enterprises run procurement… Arkestro is a place where you can have a big impact. See Arkestro in action at arkestro.com.
About this Role
As a Lead AI/ML Engineer, you'll own significant pieces of how Arkestro builds, ships, and operates AI-powered functionality in production. This is a startup-scale role: you'll work across more of the path from idea to production than a comparable role would at a larger company, and you should be energized by that breadth rather than looking to specialize narrowly. You'll be a driving voice in shaping our AI/ML architecture, working closely with our existing ML engineer and the broader Data and Product Engineering teams.
Responsibilities
- Design, build, and productionize machine learning and agentic AI functionality yourself
- Partner with product engineering squads to embed AI and agentic capabilities directly into Arkestro's product.
- Contribute to architecture decisions for how Arkestro builds AI products and systems, including our still-evolving AI/ML stack.
- Contribute to dbt and data pipeline work when it's needed for the systems you build
- Own evals and ground truth for the projects you lead, in partnership with PMs and stakeholders. Work with our existing ML engineer to build and curate the human-generated evals that feed our in-house automated eval system.
- Build and maintain the tooling that gets AI/ML systems into production reliably, treating latency, cost, and error handling as first-class concerns.
- Champion safety, reliability, and responsible-AI practices in the systems you build: flag risk, build in guardrails, and help define what "production-ready" means for AI features at Arkestro.
- Act as a go-to resource for other engineers on AI/ML best practices.
- Communicate clearly with both technical and non-technical stakeholders.
- Occasionally engage directly with customers or customer-facing teams to explain how AI-driven functionality works
Necessary Qualifications
- 6+ years of experience in data science, machine learning engineering, or a related quantitative/engineering field, including hands-on production ML or AI system delivery
- Strong software engineering skills, particularly in Python
- Direct experience building & shipping ML models or AI/agentic functionality in production
- Experience building/curating evaluation sets/ground truth for ML or LLM-based systems
- Experience with MLOps tools and practices for production ML/AI systems
- Familiarity with cloud platforms (preferably AWS) and data warehousing (e.g. Snowflake)
- Understanding of machine learning concepts and their practical, production application
- Experience with version control and CI/CD practices
- Demonstrated ability to lead technical work with limited oversight and to influence technical direction without formal authority
- Excellent problem-solving and analytical skills
Ideal Qualifications
- Experience embedding LLM-based or agentic features into a production product
- Experience with dbt for data transformations
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
- Experience mentoring other engineers or acting as a technical go-to person on a team
- Knowledge of procurement and/or supply chain data models
- Prior experience in enterprise software and startups
If you're passionate about turning innovative ideas into scalable solutions and want to make a significant impact in the procurement space, we'd love to hear from you. Join us in revolutionizing how companies manage their spend and supply chains!
Pay Range$160,000—$200,000 USDArkestro is committed to providing our employees with a benefits package designed to give you the flexibility you need to ensure a healthy life/work balance. Arkestro offers our employees great benefits and perks, including, but not limited to:
- Competitive salary and startup equity
- Medical, Dental, Vision insurance premiums covered up to 100% (employee only)
- 401K discretionary employer matching
- Unlimited PTO
- A remote-first team with regular opportunities to get together in person for team building, design sprints, and customer visits
- Annual budget of $1,000 for learning and professional development
- Diverse, inclusive, highly collaborative, and vibrant culture
Arkestro is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
Disclaimer
Please note this job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described and that additional tasks may be assigned to the employee from time to time; or the scope of the job may change as necessitated by business demands. Arkestro reserves the right to change duties, responsibilities and activities at any time with or without notice.