Machine Learning Engineer, Dow Jones
Business news and financial information publishing
Job no longer available
Business news and financial information publishing
1001+ employees
Job no longer available
1001+ employees
Company mission
To deliver trusted news and data to help businesses and society make decisions for a better future.
Role
Who you are
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field
- At least 3 years of industrial experience in a machine learning engineering, data science or data engineering role
- Proven programming skills in Python and/or another high-level language commonly used in machine learning
- Familiarity with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.)
- Experience in developing and managing NLP-focused data infrastructure, including storage, indexing, and retrieval systems
- Familiarity with cloud-based infrastructure and services (e.g., AWS, GCP, etc.)
- Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes, on cloud-based infrastructure
- Experience with version control systems such as Git
- Strong communication and collaboration skills, and a passion for working as part of a team
What the job involves
- Dow Jones is seeking a skilled Machine Learning Engineer to join our AI Engineering Team
- You will be responsible for designing, building, and maintaining machine learning pipelines and infrastructure, supporting both conventional and GenAI models
- You will collaborate with our data scientists to seamlessly integrate various machine learning models, including large language models (LLMs)
- As a key team member, you will play a crucial role in operationalizing machine learning solutions to meet our organization's needs and deliver tangible value
- You will leverage your strong software engineering skills to develop robust, secure, and scalable production systems, utilizing your expertise in machine learning algorithms and techniques
- Collaborate with data scientists and engineers to integrate ML models into various AI/ML pipelines, covering pre-processing, fine-tuning, and deployment
- Implement optimized data storage and indexing systems for NLP, utilizing advanced database technologies
- Develop tools and frameworks for model training, tuning, and evaluation, ensuring seamless infrastructure integration
- Partner with data scientists and engineers to integrate models into production, leveraging cloud infrastructure as needed
- Monitor and improve model performance for accuracy and efficiency
- Provide ongoing support, troubleshoot issues, and implement updates for ML models
- Build and maintain data processing pipelines for high volumes of structured and unstructured data
- Develop and maintain documentation for all ML infrastructure and support processes
- Stay updated on GenAI, NLP, ML, and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency
Our take
Dow Jones is a global leader in news and business intelligence, powering a range of well-respected brands, including The Wall Street Journal, Financial News, MarketWatch, and more. The company delivers its content to consumers through a range of formats, such as print, digital, mobile, and live events.
As companies seek to draw Millennials and Gen Z consumers to their platforms, adaptability is vital, since they are driving the demand for innovative tools and techniques, as the world evolves toward the digital-first era. Dow Jones has proven its ability to meet product optimization challenges with its reimagined Factiva offering that includes a list of new features, such as personalized results, an easy-to-use modern interface, and faster free-text search, all with a mobile-first design that adapts to any device.
The company has also focused on new product innovation by expanding its portfolio of capabilities and partnerships, further expanding into AI-powered personalization technologies and ongoing digital transformation. Already a powerhouse in the market, Dow Jones is well set to capitalize on future expansion and innovation opportunities and between 2019 and 2024, doubled its digital subscription base from 2.43 million to 4.86 million.
Steph
Company Specialist
Insights
Company
Company HQ
Theater District, New York, NY
Articles
Leadership
Almar Latour
(CEO, not founder)Before becoming the CEO of Dow Jones and Publisher of The Wall Street Journal, they were the Publisher of Barron’s Group and Executive VP of Dow Jones. They were also the previous Executive Editor of The Wall Street Journal.
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