Sr. Applied Machine Learning Engineer - Search
让我们来看看，人工智能不是魔法；该公司的目的是超越人工智能传声，提供与人们一起解决世界上最关键挑战的工作安全可靠系统。由国防部合作伙伴关系诞生，政府和企业领导人信任，Legion 将智能嵌入复杂系统中，解锁数据，加速人类工作流程，加强任务关键系统。我们不取代工作流程。我们优化它们，确保我们的合作伙伴已经使用的平台内部质量，效率和可靠性。我们正在与帕兰蒂尔，Nvidia,HPE 和 Oracle 等世界级合作伙伴建立智能基础设施，增强人力能力并推动企业的影响。我们寻找勇敢的思想家和行动者来加入我们塑造安全，根基和工作的 AI 未来。员工应用机器学习工程师 （远程美国）***由于美国政府合同要求而需要美国公民身份或绿卡*** 职位简介：在这一角色中，你将利用你在 AI/ML 工程方面的专业知识设计，开发和部署创新的机器学习和算法解决方案。如果你熟练构建解决困难问题的模型，我们鼓励你申请。你将与平台工程师和产品合作伙伴密切合作，为你的 ML 工作带来强大的产品导向。责任：·领导机器学习模型和数据驱动算法的开发高影响性项目 ·领导知识图形和先进实体检测所涉及复杂系统的设计和发展 · 与产品和平台团队协作拥有端到端的 ML 解决方案 ·了解运行时间复杂度以及生产规模运行的 ML 模型成本 · 清楚地向技术和非技术利益相关者沟通建模决策，妥协和限制 · 建立，交付和维护企业产品，确保它们达到高质量标准，同时快速运输 · 从设计到实施和维护，并推动项目成功完成 ·支持生产系统，处理分布式系统中的调试挑战以保证可靠性和正常时间 · 迅速适应，引入 AI 和机器学习的最新发展，积极应用这些知识来推动公司内部创新所需技能
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About Legion
Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.
Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.
With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.
We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.
Staff Applied Machine Learning Engineer (Remote USA)
***US Citizenship or Greencard is required due to US Government contract requirements***
Job Summary:
In this role, you will leverage your expertise in AI/ML engineering to design, develop, and deploy innovative machine learning and algorithmic solutions.
If you are adept at building models that solve hard problems, we encourage you to apply. You will collaborate closely with platform engineers and product partners, bringing a strong product orientation to your ML work.
Responsibilities:
- Lead the development of machine learning models and data-driven algorithms for high impact projects
- Lead the design and development of complex systems involving knowledge graphs and advanced entity detection
- Collaborate with product and platform teams to own ML solutions end-to-end
- Understand the runtime complexity of algorithms and the cost to run ML models at a production scale
- Clearly communicate modeling decisions, tradeoffs, and limitations to technical and non-technical stakeholders
- Build, deliver, and maintain enterprise products, ensuring they meet high-quality standards while shipping fast
- Take ownership of your work, from design to implementation and maintenance, and drive projects to successful completion
- Support production systems, handling debugging challenges in distributed systems to ensure reliability and uptime
- Adapt quickly, bringing in latest developments in AI and machine learning, and proactively apply this knowledge to drive innovation within the company
Required Skills and Qualifications:
- US Citizenship or Greencard is required due to US Government contract requirements
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, NLP. PhD is preferred.
- 10+ years of experience in ML engineering with a proven track record of building models for large-scale systems
- Experience building and supporting knowledge graph and semantic representation systems
- Proven experience designing, building, evaluating, and optimizing Agentic AI systems, including reasoning loops, tool use, orchestration patterns, context management
- Strong communication skills and the ability to collaborate effectively with cross-functional teams
- Comfortable supporting production systems and debugging challenges in distributed systems
- Demonstrated effectiveness in using AI tooling to accelerate research and development workflows
- Growth mindset and low ego- you’re eager to pick up new tools and technologies, learn from others, and being open to changing course when it’s right
- Drive to foster a culture of collaboration, psychological safety, and technical excellence
- Strong advocate for inclusion in technical discussions at all levels
Preferred Qualifications:
- Start-up experience or comfort in 0→1 product environments.
- Familiarity with Kubernetes is a plus.
- Experience integrating machine learning models and data driven algorithms into larger system architectures.
Compensation Information
$230,000—$270,000 USD
Equal Opportunity Statement
Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Originally posted on Himalayas