高级机器学习工程师 - 客户端
Senior Machine Learning Engineer - Client Facing
我们是谁
每个组织都依赖于智能:多年积累的知识、决策和背景信息。随着人工智能承担越来越多的工作,公司面临一个选择:从供应商那里租用智能,这些供应商掌握数据、背景和结果,或者自己拥有这些智能。
OpenTeams的存在就是为了实现这种拥有。
由NumPy和SciPy的创建者Travis Oliphant创立,由在开源生态系统中有深厚根基的人士组成,包括NumPy、SciPy、PyTorch和Jupyter,我们帮助企业和政府构建他们自己控制、管理和发展的AI。
如果这听起来像你感兴趣的工作,我们想认识你。
职位名称:高级机器学习工程师
地点:远程办公(优先考虑美国// 西半球时区)
工作授权:可在居住地合法工作
薪资范围:145,000 - 250,000 美元(根据经验水平和地点而定)
职位简介
我们正在寻找一名机器学习工程师加入我们的团队,支持一项专注于深度学习模型开发的战略客户项目,用于客户行为预测。你将与客户的数据科学家和工程师合作,提升和优化驱动大规模商业决策的深度学习模型。
该职位涉及整个机器学习生命周期中的实际工作——从特征工程到模型架构改进——在一个协作且基于研究的环境中。你将有机会实施前沿学术研究中的技术,并为直接影响业务成果的生产系统做出贡献。
主要职责
- 为深度学习模型开发和优化特征,使用大规模客户和行为数据集
- 根据最新的学术研究(例如NeurIPS等会议的论文)实现模型架构变更
- 与客户团队合作,理解业务背景并将其转化为技术解决方案
- 优化模型训练流程以提高效率和可扩展性
- 记录方法、发现和技术决策,以便在团队间共享知识
- 参与代码审查并为工程最佳实践做出贡献
所需技能与经验
- 精通深度学习框架(如PyTorch、TensorFlow)
- 具有预测模型特征工程的实际经验
- 扎实的机器学习基础(监督学习、神经网络架构、优化)
查看英文原文
Who We Are
Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it.
OpenTeams exists to make ownership possible.
Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves.
If that sounds like your kind of work, we'd like to meet you.
Job Title: Senior Machine Learning Engineer
Location: Remote (U.S Strong Preference// W. Hemisphere Timezone required)
Work Authorization: Authorized to work where they live
Salary Range: 145,000 - 250,000 USD (dependent on experience level and location)
About the Role
We're seeking a Machine Learning Engineer to join our team supporting a strategic client engagement focused on deep learning model development for customer behavior prediction. You'll work alongside client data scientists and engineers to enhance and optimize deep-learning models that drive business decisions at scale.
This role involves hands-on work across the ML lifecycle—from feature engineering to model architecture improvements—within a collaborative, research-informed environment. You'll have the opportunity to implement techniques from cutting-edge academic research while contributing to production systems that directly impact business outcomes.
Key Responsibilities
- Develop and refine features for deep learning models, working with large-scale customer and behavioral datasets
- Implement model architecture changes informed by recent academic research (e.g., papers from NeurIPS and similar venues)
- Collaborate with client teams to understand business context and translate requirements into technical solutions
- Optimize model training pipelines for efficiency and scalability
- Document approaches, findings, and technical decisions for knowledge sharing across teams
- Participate in code reviews and contribute to engineering best practices
Required Skills & Experience
- Strong proficiency with a deep learning framework (e.g. Pytorch, tensorflow)
- Hands-on experience with feature engineering for predictive models
- Solid foundation in machine learning fundamentals (supervised learning, neural network architectures, optimization)
- Ability to read, understand, and implement techniques from ML research papers
- Python proficiency in a data science/ML context
- Comfortable working in ambiguous environments and adapting to unfamiliar tooling
Nice to Have
- Experience with time-series or sequential modeling
- MLOps experience (model deployment, monitoring, pipeline orchestration)
- Familiarity with Google Cloud Platform or large-scale distributed training
- Background in causal inference or attribution modeling
- Experience working in consulting or client-facing technical role
Grow With Us
At OpenTeams, growth isn’t just about the company—it’s about you.
We believe the best careers are built at the edge of your potential. That is where new tools, ideas, and technologies change the world. Here, you’ll work alongside pioneers of AI, solving problems that matter: making AI more transparent, more ethical, and more empowering. As your skills grow, our career framework provides a pathway and recognition of that increased impact.
Opportunities aren’t limited by geography. You’ll collaborate with global experts, contribute to open source projects that power the world’s technology, and stretch your skills daily. That global perspective and diversity makes our solution more universal and robust. We are committed to continuing to celebrate diversity on our team.
Supported people are successful people. We offer 100% employer paid medical premiums for employees and self-managed PTO with a minimum time off requirement, so that our teams are able to do their best work.
We invest in curiosity, creativity, and ownership. That means you’ll be trusted to boldly innovate, supported to learn fast, and celebrated for successful collaboration.
Commitment to diversity, equity, inclusion, and belonging
OpenTeams understands that valuing diverse creative practices and forms of knowledge is crucial to and enriches the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, disabled people, persons of all sexual orientations, gender identities and expressions.
We are an equal opportunity employer - all qualified applicants will receive equal consideration for recruitment, interviews, employment, training, compensation, promotion, and related activities. We do not discriminate based on race, religion, gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. OpenTeams will not tolerate discrimination or harassment based on these characteristics or any other unlawful behavior, conduct, or purpose.