The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About the Team:
We are looking for a Senior AI Engineer to join the Expert Research mission at AlphaSense. As a team, we have already launched LLM-powered transcript summaries, table of contents, and an expert recommender to support our operations team. Some examples of upcoming work could include automating expert biographies, AI moderated interviews, amongst others. Our work is core to the future of the company. You will join as one of the first hires, reporting to the Director of Engineering, and will help to set the culture and practice of how we do machine learning within the Expert Research organization. You will also get to work on real business problems using some of the latest and most exciting tools and methods in the industry.
About the Role:
As a Senior AI Engineer within AlphaSense's Expert Research division, your job will be to build product features powered by machine learning on top of our unique, proprietary datasets. The core of this data is an ever-growing set of “expert interviews” – primary research conversations between financial analysts and domain experts, arranged by AlphaSense, who discuss the ins-and-outs of a particular company’s business.Because so much of this data is unstructured text, your work will lean heavily towards NLP and large language models. While we make extensive use of OpenAI API’s, we plan to explore other vendors and future open source models.
Who You Are:
- Bachelor’s degree in a quantitative discipline or demonstrated experience working on data-intensive problems (Masters or PhD preferred but not at all required).
- 5 years of experience working in a data-intensive or machine learning role, with at least 2 of those years in an industry role.
- Demonstrated experience training and deploying machine learning models with a preference towards NLP applications.
- Deep experience in the python data and machine learning ecosystem, including experience with pytorch.
- Familiarity with docker, python API frameworks like FastAPI, and software engineering best practices.
- Practical, iterative, product-focused mindset over slower, methodical, research-minded approach.
- Preferred: Previous experience deploying microservices on kubernetes.
What You’ll Do:
- Collaborate with product managers and engineers to prototype, build, and release features in the AlphaSense Platform that leverage the latest advances in machine learning applied to our proprietary dataset of financial text.
- Write production python code in our internal machine learning packages and deploy production microservices.
- Stay on top of the latest advances in machine learning (and sharing what you learned!)
- Influence how we architect and deploy our machine learning code and services.
- Mentor and pair with one or more junior ML engineers.
For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.
You may also be offered equity, and a generous benefits program.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
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