Machine Learning Engineering Manager, Dow Jones
3 days a week in office
Business news and financial information publishing
Job no longer available
Business news and financial information publishing
1001+ employees
Job no longer available
3 days a week in office
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
- Proven track record of leadership and technical expertise within the field of machine learning, AI, or data science, with at least 3 years of leadership experience
- Experience with machine learning algorithms, techniques, and model operationalization
- Proficiency in Python and/or other high-level programming languages commonly used in machine learning
- Experience with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.)
- Proficiency in cloud-based infrastructure and managing large datasets
- Experience with agile development methodologies and CI/CD pipelines
- Excellent project management skills with experience successfully delivering complex machine learning projects
- Familiarity with software engineering best practices, ensuring the development of secure, scalable, and efficient production systems
- Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
What the job involves
- Dow Jones is seeking an experienced Machine Learning Engineering Manager to lead our team of machine learning engineers
- You will be responsible for managing the implementation of advanced machine learning solutions, ensuring their seamless integration and operational success
- Your leadership will play a crucial role in guiding the team to deliver high-impact machine learning projects aligned with our organizational goals and technological advancements
- As a leader within the AI Engineering Team, you will be deeply involved in every aspect of AI project development process, from brainstorming and ideation to production launch and ongoing development, ensuring that our machine learning solutions deliver tangible value, meet organizational needs, and are developed with a focus on security and scalability
- Lead, mentor, and guide a team of machine learning engineers to foster a culture of collaboration and continuous improvement
- Conduct regular performance evaluations, provide constructive feedback, and support professional growth within the team
- Facilitate close collaboration within the AI Engineering Team to integrate ML models into our Information Retrieval pipelines, covering pre-processing, fine-tuning, and deployment
- Lead implementation of optimized data storage and indexing systems for NLP, utilizing advanced database technologies
- Guide the development of tools and frameworks supporting model training, tuning, and evaluation for seamless integration into our infrastructure
- Monitor model performance, continuously improving accuracy and efficiency, and provide ongoing support, troubleshooting, and updates as needed
- Build and maintain data processing pipelines for high volumes of structured and unstructured data, ensuring robust, secure, and scalable production systems
- Develop and maintain comprehensive documentation for all machine learning infrastructure and support processes
- Stay updated with the latest developments in GenAI, NLP, ML, and information retrieval technology, incorporating best practices into our systems and processes
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 at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Company benefits
- 20 weeks of parental leave
- 4 weeks of paid caregiver leave
- Up to 4 weeks of remote work per year
- 1 paid volunteer day annually
- $700 caregiver reimbursement
- Headspace emotional wellness membership
- ClassPass fitness and wellness membership
- Financial rewards for well-being activities
Company HQ
Theater District, New York, NY
Leadership
Almar Latour
(CEO)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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