远程工作雷达

首席机器学习工程师

Principal Machine Learning Engineer

AI开发工程全球可投
公司connectwise
薪资未公开
工作地点IND, Remote
地域资格全球可投
时区要求无特别要求
用工类型未标注
发布时间2026-07-01
数据来源Greenhouse
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全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

ConnectWise 是一家行业领先、全球知名的软件公司,在北美、EMEA 和 APAC 地区拥有超过 3000 名员工。作为一家以社区驱动的软件公司,我们致力于技术解决方案提供商的成功,我们的产品组合帮助超过 45000 名合作伙伴更好地管理业务、更高效地销售、自动化服务交付,并远程控制技术,从而持续提供出色的客户体验。

我们的公司由我们的联系、我们的员工和我们的社区推动。我们接纳所有人。

改变者、创新者、文化爱好者——以及人类。

我们鼓励探索和辩论。我们把关键时刻视为里程碑。

我们看到你,重视你的独特贡献。我们包容、积极的文化为每位员工奠定了基础,使他们因自己的观点和技能而受到重视,让你选择如何 YOUR 方式做出改变。

好奇吗?阅读这个机会,了解 YOU 如何在 ConnectWise 做出改变!

职位概述:

首席机器学习工程师负责根据多样化的业务需求构建机器学习模型,建立管道,并协助为我们的合作伙伴提供有洞察力的体验。该角色与跨职能团队合作,为开发前沿的 ML 解决方案做出贡献。

主要职责和要求:

  • 构建/优化机器学习模型。
  • 进行研究、分析并记录发现。
  • 协助交付可生产使用的机器学习服务,这些服务支持 ConnectWise 平台和产品。
  • 设计和维护机器学习基础设施。
  • 为产品决策和产品发布提供信息、影响、支持和执行。
  • 与跨职能团队合作,确保建立适当的数据管道,以确保高质量数据的可用性。

所需知识、技能和能力:

  • 能够在密切监督下独立处理项目和流程。
  • 对 ML/AI 领域有广泛的理论知识,以及使用生成式 AI 的应用开发经验,包括监督微调、偏好优化(DPO)和强化学习微调(RFT)大语言模型;参数高效的微调(LoRA/QLoRA);对 BERT/ModernBERT 等编码器模型进行文本分类的微调;以及使用嵌入检索器和交叉编码器重新排序器的检索增强生成。
查看英文原文

ConnectWise is an industry and Global leading software company with over 3,000 colleagues in North America, EMEA and APAC. As a community-driven software company dedicated to the success of technology solution providers, our suite helps over 45,000 of our partners manage their businesses better, sell more efficiently, automate service delivery, and remotely control technology so they can consistently deliver amazing customer experiences.

Our company is powered by our connections, our colleagues, and our community. And, we accept all kinds.

Game-changers, innovators, culture-lovers—and humankind.

We invite discovery and debate. We recognize key moments as milestones.

We see you and value you for your unique contributions. Our inclusive, positive culture lays the foundation to ensure every colleague is valued for their perspectives and skills, giving you the choice of how YOU make a difference.

Curious? Read this opportunity to learn how YOU can make a difference at ConnectWise!

General Summary:

The Principal Machine Learning Engineer is responsible for building Machine learning models based on diverse business requirements, setting up the pipelines, and assisting in delivering thoughtful experiences for our partners. This role works in partnership with cross-functional teams to contribute to the development of cutting-edge ML solutions.

Essential Duties and Responsibilities:

  • Builds/ Optimizes machine learning models.
  • Researches, analyzes, and documents findings.
  • Assists in delivering production grade machine learning services that power the ConnectWise platform and products.
  • Designs and maintains machine learning infrastructure.
  • Informs, influences, supports, and executes on product decisions and product launches.
  • Works with cross-functional teams to ensure that proper data pipelines are established to ensure availability of high-quality data.

Knowledge, Skills, and/or Abilities Required:

  • Ability to work independently on projects and processes with close supervision.
  • Broad theoretical knowledge of ML/ AI space and application development using generative AI including supervised fine-tuning, preference optimization (DPO), and reinforcement fine-tuning (RFT) of LLMs; parameter-efficient fine-tuning (LoRA/QLoRA); fine-tuning encoder models such as BERT/ModernBERT for text classification; and retrieval-augmented generation with embedding retrievers and cross-encoder rerankers.
  • Strong grasp of model evaluation methodology (task-specific eval sets, LLM-as-judge, offline metrics, and online A/B testing) and experience building training-data, synthetic-data, and distillation pipelines for post-training.
  • Ability to situationally adapt and understand new technology/processes as per business partner requirement.
  • Strong programming skills in python and fluency in common libraries ( Hugging Face Transformers, TRL, PEFT, Sentence-Transformers, scikit-learn, etc.)
  • Proficient in SQL and/or other data manipulation languages.
  • Knowledge of big data processing tools such as Apache Spark.
  • Proficiency in version controls systems such as Git.
  • Knowledge of at least one cloud platform (e.g. AWS) and its relevant services (e.g. EMR, S3, and SageMaker).
  • Ability to interpret business requirements and translate into ML deliverables.
  • Ability to break down and communicate complex, highly technical concepts to audiences of varying technical understanding

Educational/Vocational/Previous Experience Recommendations:

  • Bachelor degree in CS or related field required; Master’s or PhD preferred.
  • 8+ years of relevant experience
  • Experience writing code (e.g. Python) and taking machine learning models to production.
  • Experience building software on cloud computing platforms.
  • Experience deploying, monitoring, and iterating machine learning models in production.

Work Type: Remote

ConnectWise is an Equal Opportunity Employer, dedicated to building a diverse and inclusive workforce and providing a workplace free from discrimination and harassment. ConnectWise provides equal employment opportunities to all employees and applicants without regard to race, ethnicity, color, religion, age, sex (including pregnancy), sexual orientation, gender, gender identity or expression, ancestry, national origin, citizenship status, physical or mental disability, genetic information, military/veteran status, marital status, familial or parental status, or any other characteristic or status protected by applicable federal, state and local laws.

The statements above are intended to describe the general nature and level of work being performed by individuals assigned to this job. Other duties may be assigned as needed. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job and/or to receive other benefits and privileges of employment. If you need a reasonable accommodation for any part of the application and hiring process, please contact us at talentacquisition@connectwise.com or 1-800-671-6898.

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