Machine Learning Engineer, Kensho
$150-200k
Plus Equity and Annual Incentive Bonus
AI-powered data analytics tools
Job no longer available
AI-powered data analytics tools
101-200 employees
Job no longer available
$150-200k
Plus Equity and Annual Incentive Bonus
101-200 employees
Company mission
To build solutions that uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction.
Role
Who you are
- Bachelor's degree or higher in Computer Science, Engineering, or a related field
- 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, including designing, shipping, and maintaining production systems
- Strong proficiency in Python
- Experience with natural language generation or code generation and familiarity with evaluative processes
- Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain, Semantic Kernel, LLamaIndex, etc
- Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation
- Demonstrated effective coding, documentation, collaboration, and communication habits
- Strong problem-solving skills and a proactive approach to addressing challenges
- Ability to adapt to a fast-paced and dynamic work environment
What the job involves
- We are seeking a Senior ML Engineer to help accelerate and improve our ML development cycle, continually raising standards of prototyping, building, and maintaining SOTA ML solutions
- Work closely with Data, Product, Design, and Engineering teams to design and develop Large Language Model (LLM)-based systems that integrate structured and unstructured data, ensuring the delivery of innovative ML solutions that meet customer needs
- Solve unique challenges around LLM-orchestration, such as data access patterns, memory and context management, and conducting thorough evaluations
- Actively participate in all stages of the ML lifecycle, from problem framing and data exploration to model experimentation, deployment, and monitoring in production, ensuring the continuous improvement and optimization of our ML solutions
- Work with unique, proprietary data from both unstructured and structured datasets, applying advanced NLP techniques to extract insights and build solutions that drive business value
- Work closely with Product and Design teams to build ML-based solutions that enhance user experiences and meet business objectives
- Collaborate closely with the ML Operations team to create automated solutions for managing the entire ML systems lifecycle, from initial technical design to seamless implementation
Our take
Kensho combines natural language search queries, graphical user interfaces, and secure cloud computing to create analytics tools for investment professionals. Addressing the three biggest challenges surrounding investment analysis on Wall Street today, speed, scale, and automation, Kensho's intelligent computer systems are capable of answering complex financial questions posed in plain English.
Kensho’s AI and machine learning systems strive to make S&P data that much more relevant. Given the sheer amount of data and the abundance of knowledge workers trying to categorize it, Kensho’s data pipeline system processes unstructured data for data discovery relevant to clients’ needs. Whether clients seek data search and classification or transcription, Kensho’s various products allow a variety of data-driven financial applications.
Global data analytics continues to grow by 25% until 2030 from the present estimate of $25 billion. High profile customers such as Goldman Sachs, Morgan Stanely and Citigroup are among those utilizing Kensho products to improve their processes. With the growing volume of raw data coupled with the demand for better machine learning, Kensho is poised to continue to overcome challenges.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-14% employee growth in 12 months
Company
Funding (2 rounds)
Nov 2014
$7m
SERIES A
Mar 2014
$10m
SEED
Total funding: $17m
Company benefits
- Medical, Dental, and Vision insurance
- 100% company paid premiums
- Unlimited Paid Time Off
- 26 weeks of 100% paid Parental Leave (paternity and maternity)
- 401(k) plan with 6% employer matching
- Generous company matching on donations to non-profit charities
- Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
- Plentiful snacks, drinks, and regularly catered lunches
- Dog-friendly office (CAM office)
- In-office gyms and showers (CAM, DC)
- Bike sharing program memberships
- Compassion leave and elder care leave
- Mentoring and additional learning opportunities
- Opportunity to expand professional network and participate in conferences and events
Company HQ
Harvard Square, Cambridge, MA
Leadership
Bhavesh Dayalji
(CEO, not founder)Served as COO of the company before transitioning to CEO in 2021.
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