AI Research engineer

About AlphaSense: 

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 4,000 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 Role:

We are seeking a passionate research engineer to join our AI Research team. The AI Research team develops cutting edge deep learning, NLP, search, and generative AI algorithms that power AlphaSense Search and AI products. 

You'll work closely with a team of talented researchers and engineers to deliver scalable solutions for our world class AI powered search platform.

Requirements:

• 1-5 years of experience would be ideal for this position 
• An expert in machine learning and deep learning. Ideally, you possess an advanced degree in Computer Science, Computer Engineering or relevant field with a focus on machine learning, but equivalent industry experience may be considered. Familiarity with the state-of-the-art research in Deep Learning, NLP and LLM 
• Extremely proficient in Applied LLM/NLP,  developing and deploying solutions using NLP frameworks like LangChain, HuggingFace, back-end web frameworks like FastAPI
• Familiarity with experimenting with Open Source and Commercial LLMs like Llama, Claude etc., deep understanding of Prompt Engineering
• Expertise on core engineering skills - Cloud, microservice architecture, caching, queuing
• Familiarity with concepts/tools as Docker, K8s, VCS, CI/CD
• An excellent communicator with strong organizational, problem-solving, debugging and analytical skills

Responsibilities:

• Deploy LLM based production grade solutions
• Solve Engineering challenges that come along with LLM solutions such as high latency, non-deterministic output etc.
• Work closely with cross-functional teams to translate product requirements into machine learning architectures
• Own systems end-to-end including (but not limited to) design, code, monitoring, observability for Engineering Projects and training, testing, deployment and iteration for model training projects

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.

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