机器学习工程师 - 客户解决方案
Machine Learning Engineer - Customer Solutions
公司
我们是一家快速发展的初创公司,致力于开发融合人类专业知识和AI代理的解决方案,以处理手动的客户和市场操作任务。我们的独特方法结合了人类专业知识(高准确性和细致的决策能力)与AI自动化的优点(速度和成本效率)。这项前沿技术帮助企业在信任与安全等领域解决现实问题,而无需复杂的集成。我们相信一个无害的在线世界,其中我们可以信任AI做出安全和公平的决策。
我们已从Creandum和Plural等顶级基金获得约2500万美元的风险投资,并在大规模运营——每天分析数百万张图片和视频。但我们现在才刚刚开始旅程——我们对接下来一年及以后的增长计划感到非常兴奋!
职位描述
我们现在正在寻找一名机器学习工程师,为客户提供创新的AI产品。您的软件专业知识和机器学习知识将帮助将客户的手动流程转化为AI自动化解决方案。
您的使命是确保客户获得最适合其特定需求的高效AI解决方案。您将运用技术和分析技能来理解客户挑战,并与他们合作,利用我们的AI自动化他们的工作。最初,您将为即将上市的机器学习模型提供直接支持,然后逐渐开发自助工具,使客户能够独立实现价值。
作为该职位的一部分,您将:
- 与客户合作,深入了解他们的工作流程,然后设计和构建自动化其流程的虚拟代理。
- 参与我们虚拟代理开发平台的开发,使其与我们的产品策略同步扩展。
- 确保我们的AI服务保持高可靠性和可观测性、可用性和性能标准。
- 参与我们的机器学习社区,影响我们如何实施机器学习和计算机视觉技术,塑造Unitary的未来。
- 自主负责客户成果,做出能惊喜和打动客户的决策。
- 负责全栈开发,包括软件工程、DevOps和MLOps,以及轻量级的任务和项目管理,以确保您的AI解决方案创造最大价值。
- 要求
- 我们寻求…
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The company
We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions.
We have raised about $25M in VC funding from top tier funds including Creandum and Plural, and operate at significant scale - analysing millions of daily images and videos. But we are just at the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond!
The role
We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions.
Your mission will be to ensure our customers receive the most effective AI solutions for their specific needs. You will apply your technical and analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently.
As part of this role, you will:
- Collaborate with customers to thoroughly understand their workflows, then design and build Virtual Agents that automate their processes.
- Contribute to the development of our Virtual Agent development platform that scales with our product strategy.
- Ensure our AI services maintain high standards of reliability, observability, availability, and performance.
- Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future.
- Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers.
- Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value.
Requirements
We are looking for someone who is as excited about Unitary’s mission as we are, who wants to have a large impact at an early-stage startup, and be a key part of defining Unitary’s future as one of our early employees. We need versatile people who are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company.
For this particular role, we need a proactive Machine Learning Engineer who is comfortable engaging with customers and exploring and presenting new ideas. Strong communication skills are essential, as you'll lead technical deliveries and bring others along on the journey. You embrace a product mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges.
We would love to hear from you if you:
- Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems
- Can (or want to learn to) develop agentic AI systems that can automate human processes
- Have an understanding of (or want to learn) how software is deployed through Kubernetes, and with the capability to deploy some infrastructure elements independently
- Can demonstrate problem solving and project management skills in order to analyse workflows and design automated solutions
- Thrive in a collaborative environment where group output and team achievements weigh heavier than individual input
- Can travel to our company-wide offsites three times per year
It would be even better, but not essential, if you have:
- Experience working in a fully remote, international team
- Previous startup experience
- A background in building and operating agentic AI systems
- Experience with MLOps practices and tools, and monitoring machine learning systems in production
- Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD
- Proficiency with SQL and NoSQL databases
- Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform
- Experience with Large Language Models (LLMs) and a keen interest in staying current with the latest AI technology advancements
Benefits
The team
Unitary is a remote-first team of c. 20 people spread across Europe and North America who are fiercely passionate about making the internet a safer place, and deeply motivated to become a force for good. We have an ambition to create a company filled with happy, kind and collaborative people who achieve extraordinary things together. Our culture is built around the power of trust, transparency and self-leadership.
Working at Unitary
We are committed to creating a positive and inclusive culture built on genuine interest for each other's well-being. We offer progressive and market-leading benefits, including:
- Flexible hours and location
- Competitive salary and equity package
- Occupational pension
- Generous paid parental leave
- Generous paid sick leave
- Annual budget for your professional development and growth
- Annual budget for your individual health and wellness
- Three team offsites to London or other exciting destinations in Europe
Originally posted on Himalayas