Principal Machine Learning Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lifelancer

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Pre Seed Round on 2022-03

Consulting • Healthcare • Logistics

Lifelancer is an AI-powered talent hiring platform that connects employers with skilled professionals in the Life Sciences, Pharmaceutical, and IT sectors. It enables individuals to create profiles showcasing their skills, get matched with high-paying international jobs or projects, and facilitates hiring and payroll for employers in multiple countries. The platform aims to streamline the hiring process with efficient AI sourcing and compliance support.

📋 Description

• Engage with business leaders and teams to understand workflows, challenges, and goals • Identify AI opportunities and define successful solution outcomes • Lead cross-functional teams in converting ambiguous opportunities into well-scoped AI initiatives • Set priorities, technical approaches, success measures, and paths from proof of concept to enterprise adoption • Architect and build AI proofs of concept using LLMs, agentic workflows, retrieval-augmented generation, data pipelines, APIs, cloud-native services, and enterprise platforms • Own consequential technical work hands-on • Evaluate feasibility and business value through practical experimentation • Address data readiness, integration, user experience, security, compliance, performance, cost, and operational needs • Define scalable architectures and create reusable components, documentation, decision records, and handoff materials • Provide technical direction for product and platform teams developing successful proofs of concept into enterprise solutions • Establish engineering standards through technical leadership and mentorship • Guide design decisions, strengthen delivery practices, and help teams navigate uncertainty

🎯 Requirements

• Doctorate degree and 2 years of Machine Learning Engineer experience; or Master's degree and 6 years of Machine Learning Engineer experience; or Bachelor's degree and 8 years of Machine Learning Engineer experience; or Associate's degree and 10 years of Machine Learning Engineer experience; or High school diploma / GED and 12 years of Machine Learning Engineer experience • Substantial experience in machine learning and software engineering, including senior technical ownership of applications that progressed beyond a prototype or pilot • Deep full-stack development skills • Python proficiency • Experience developing APIs, application back ends, user interfaces, and data integrations • Experience with modern software design practices • Hands-on experience with cloud platforms such as AWS • DevOps experience including Terraform or similar infrastructure as code, containers, CI/CD, automated deployment, and observability • Strong practical knowledge of generative AI and machine learning application design • Experience with model selection, evaluation, inference, and trade-offs among managed services, open-source tools, and custom implementations • Experience with enterprise architecture and integration patterns • Knowledge of access controls, secure handling of sensitive data, reliability, performance, and maintainability • Experience establishing evaluation approaches for AI applications using quantitative and qualitative evidence • Strong software engineering discipline, including automated testing, version control, modular design, code review, documentation, and AI development tools • Demonstrated technical leadership through architecture decisions, mentorship, and collaboration across business, product, engineering, security, and platform teams • At least 2 years of experience directly leading teams, projects, or programs, or directing resource allocation • Clear written and verbal communication skills • Experience presenting technical options and trade-offs to technical and business audiences

🏖️ Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions • Group medical, dental and vision coverage • Life and disability insurance • Flexible spending accounts • A discretionary annual bonus program • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible • Career development opportunities • Work/life balance support • Financial plans with opportunities to save towards retirement or other goals