机器学习工程师
Machine Learning Engineer
几年后，历史将回顾这个时刻，这是人类历史上一个重要的里程碑，生成式AI开始改变一切。在Loka，我们的机器学习团队正身处其中，将生成式AI部署到生命科学领域，从前沿的BioLM模型到基因研究公司的代理应用程序。
Loka正在寻找一名机器学习工程师加入我们不断壮大的团队。在这个职位中，你将在多个项目中构建和改进机器学习解决方案，运用你的机器学习和生成式AI知识，交付稳健、可扩展的系统，并随着时间推移不断优化它们。你将与经验丰富的机器学习团队一起成长，参与真正交付给客户的项目。
#### 关于Loka
Loka是一家总部位于硅谷的全球分布式技术咨询公司。2024年，我们被AWS评为年度创新合作伙伴，击败了150,000家合作伙伴获得该称号。我们帮助客户在生命科学领域，以及营销、广告等多个领域将机器学习和生成式AI部署到生产环境。
我们团队中有超过100名认证的专业人士、技术专家和博士，他们是致力于工作的Lokals，不仅在客户项目中展现才华，也积极参与指导初级同事。我们完全远程办公，在内部孵化器LokaLabs™中测试新想法，遵守当地节假日，并且每两周的星期五都放假（真的）。
#### 你将负责
##### 项目工作与后勤
- 对你分配的任务和项目负责，责任意识至关重要。
- 参与客户沟通，清晰传达交付成果。
- 理解业务目标，构建有助于实现这些目标的解决方案，并制定跟踪进度的指标。
- 与其他团队（数据工程、DevOps、后端）进行跨职能协作。
##### 技术任务
- 构建和维护生成式AI系统的组件，包括由大语言模型驱动的应用功能和代理工作流。
- 在已有的架构模式中构建信息检索管道（数据摄入、分块、嵌入、向量搜索）。
- 为生成式AI解决方案贡献评估框架和生产监控。
- 整理、探索并可视化数据，注重数据清洗。
- 部署、维护和升级机器学习模型和管道，分析模型错误并设计解决策略。
- 编写和维护技术文档。
#### 你将带来
**技术技能**
- 计算机科学或相关领域的学士学位。
- 2年以上
查看英文原文
Years from now, history will look back at this moment as a landmark for the human race, the moment generative AI began to change everything. At Loka, our ML crew is in the thick of it, shipping GenAI into production across life sciences, from cutting-edge BioLM models to agentic applications for genetic research companies.
Loka is seeking a Machine Learning Engineer to join our growing team. In this position you'll build and improve machine learning solutions across multiple projects, applying your knowledge of ML and GenAI to deliver robust, scalable systems and refine them over time. You'll grow your craft alongside an experienced ML crew on work that ships to real clients.
#### About Loka
Loka is a globally distributed tech consultancy based in Silicon Valley. In 2024, we were recognized by AWS as Innovation Partner of the Year, beating out 150,000 partners for the title. We help clients ship machine learning and GenAI into production across life sciences, as well as marketing, advertising and more.
We count more than 100 certified specialists, technical experts and PhDs among our teammates, committed Lokals who bring their brilliance both to client work and to mentoring junior colleagues. We work entirely remotely, test new ideas in our in-house incubator LokaLabs™, observe local holidays and take every other Friday off (really).
#### What You'll Do
##### Project Work & Logistics
- Take ownership of your assigned tasks and projects, accountability is key.
- Participate in client communications, communicating deliverables clearly.
- Understand business objectives and build solutions that help achieve them, along with metrics to track progress.
- Collaborate cross functionally with other teams (Data Engineering, DevOps, Backend).
##### Technical Tasks
- Build and maintain components of generative AI systems, including LLM powered application features and agentic workflows.
- Build information retrieval pipelines within established architectural patterns (data ingestion, chunking, embeddings, vector search).
- Contribute to evaluation frameworks and production monitoring for GenAI solutions.
- Wrangle, explore and visualize data with a keen eye for data cleaning.
- Deploy, maintain and upgrade ML models and pipelines, analyzing model errors and designing strategies to overcome them.
- Write and maintain technical documentation.
#### What You'll Bring
**Technical Skills**
- Bachelor's degree in Computer Science or a related field.
- 2+ years of AI/ML engineering experience.
- Hands-on experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, using common frameworks (LangChain/LangGraph, LlamaIndex).
- Understanding of statistical, ML and deep learning algorithms.
- Working knowledge of cloud ML services, preferably AWS (Bedrock, AgentCore, SageMaker).
- Proficiency in Python and core ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers).
- Familiarity with containerization and orchestration tools.
**Leadership & Soft Skills**
- A collaborative mindset, with openness to feedback and eagerness to grow your craft.
- Willingness to support and learn from more senior teammates on the ML crew.
- Autonomy, adaptability and a consistently positive presence on the teams you work with.
**Not Required but Nice to Have**
- Building and deploying agents with common patterns (Agentic RAG, NLQ) and frameworks (smolagents, strands-agents).
- MLOps/LLMOps experience, preferably in AWS, along with standard tooling (MLFlow, LangFuse).
- Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings.
#### Additional Requirements
- Excellent English, as a global team, we work entirely in English for meetings, customer calls and business communications.
- CV written in English.
#### Personality Profile
- **Curious:** You strive to learn and grow into different industries with a modern tech stack.
- **Autonomous and positive:** You excel in a fully remote, globally distributed team.
- **Team player:** You enjoy a collaborative approach.
- **Adaptable:** You operate with a startup mindset and move at a startup pace.
- **Coachable:** You take feedback well and are eager to grow your skills.
#### Benefits
- Every other Friday off (26 extra days off a year)
- Remote-first culture
- Explore and Relocation programs (three months work abroad or full international relo)
- Paid sick days and local holidays
- Business English classes program
- Continuous Learning Support
- Fitness and/or Mental Health Subscriptions
- Access to LokaLabs™, our internal research and development program
- Defined career path
_Your achievements matter to us! Ensure your CV, LinkedIn and GitHub profiles are up to date and accurately reflect your experience._