Distinguished Machine Learning Engineer, Factset
$250-300k
Salary is applicable in states of CA, CT & NY
Business data & analytics for finance
Job no longer available
Business data & analytics for finance
1001+ employees
Job no longer available
$250-300k
Salary is applicable in states of CA, CT & NY
1001+ employees
Company mission
To provide access to connected financial data, next-gen AI tools, and dedicated support to help clients see more, think bigger, and do their best work.
Role
Who you are
- Domain Expert: Teacher, and Learner: You have experience building AI products using LLMs, embeddings or other ML natural language technologies
- 6+ years of experience in one or more of the following areas: machine learning, recommendation or ranking systems, natural language understanding/generation or artificial intelligence
- You’re excited about bringing your pre-existing knowledge to the team, but you balance that with perpetual curiosity and understanding that there is always more to learn
- Holistic Problem Solver: You approach problems holistically, starting with a clear and accurate understanding of the context
- You think critically about the implications of what you're building and how it will impact real people's lives
- You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building
- Communicate with Care: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed
- You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates
- Impact Driven: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line
- You think critically about the implications of what you're building, and how it shapes real people's lives
- You understand that reach comes with responsibility for our impact—good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals
- Ideally, you possess a Master's Degree in Computer Science, Computer Engineering, or relevant field with a focus on machine learning
- Familiar with the state-of-the-art deep learning and natural language processing research
- Extremely proficient in developing end-to-end NLP models using Python and NLP libraries like Weights and Biases, ONNX Runtime and HuggingFace
- Familiar with PyTorch
- Must have experiences training and / or fine-turning Large Language Models using PEFT
- Experience optimizing and deploying LLMs to production is a big plus
- Experience in RLHF is a big plus
- An excellent communicator with strong organizational, problem-solving, debugging, and analytical skills
What the job involves
- We are looking for a Distinguished Machine Learning Engineer to join our AI team whose mission is to make FactSet an ML-powered product
- As a Distinguished Machine Learning Engineer, you will work on incorporating Large Language Models (LLMs), embeddings, and other AI technologies into FactSet products in a high-quality way
- You’ll be exploring the boundaries of what’s possible with ML technology and finding innovative ways to apply new industry learnings to FactSet’s offering
- Work with the team to prototype and experiment with AI model quality improvements, either by fine tuning, prompt engineering, or building new models when needed
- Help more junior team members become productive building LLM-based products
- Productionize and launch new AI technology integrations into FactSet’s products
- Collaborate with cross-functional teams to deliver product features on time
- Stay up to date with the latest AI technologies and trends
Our take
FactSet is an S&P 500 company creating flexible, open data solutions for investment professionals around the globe. The company was founded at the end of the 1970s, when the prominence of computers spurred the founders to find a way to deliver computer-based financial information. In doing so, FactSet revolutionized the delivery of this data to clients, which had previously been by messenger and on paper.
Investors use FactSet to access instant financial data and analytics that educate their investment decisions. In 2022, FactSet for CRM launched on the Salesforce AppExchange; reaching users looking to get a complete, reliable view of current and prospective customers. As it has grown, the company has continuously responded to changes in the market, and innovated its operations.
As part of the company’s efforts to help clients modernize and improve their market data technology, FactSet partnered with data and analytics company BMLL to offer order book history and analytics in the cloud. The company has also made steps into the cryptocurrency space by collaborating with Coin Metrics, integrating Coin Metrics’ digital assets data into its solutions, whilst embarking on a series of strategic fintech acquisitions over 2023 and 24.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (1 round)
May 2003
$0.2m
SEED
Total funding: $0.2m
Company HQ
Norwalk, CT
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