- 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
- Bachelor's degree or higher in Computer Science, Engineering, or a related field
- 4+ 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
- ML: PyTorch, Transformers, HuggingFace, LangChain, Semantic Kernel
- Tools/Toolkits: Weights & Biases, DVC, LabelBox
- Techniques: RAG, Tool Utilization, Information Retrieval, Prompt Management, Fine-tuning
- Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS
-
Machine Learning Engineer
2 weeks ago
Harvard Business Publishing Boston, United States Full time(HBP) – the leading destination for innovative management thinking. We reach lifelong learners to improve the practice of management in a changing world. This mission inspires each of us to unlock the leader in everyone – including you · The opportunity: · As a member of the Ente ...
-
Machine Learning Engineer
1 week ago
Harvard University Boston, United States Full timeAbout the Position: · The Center for Computational Biomedicine (CCB) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with expertise in developing large language models (LLMs) to advance CCB's mission to leverage data and computation to transform researc ...
-
Machine Learning Engineer
2 weeks ago
Neural Magic Somerville, United StatesJob Description · Job DescriptionNeural Magic is an early-stage AI software company democratizing high performance for deep learning models. Our goal is to reduce the cost and increase the performance of end-users deploying deep learning applications. Based on decades of research ...
-
Senior Machine Learning Engineer
3 days ago
Microsoft Cambridge, United States Full timeOverview · Microsoft Research (MSR) is hiring a Senior Machine Learning Engineer to work with our labs in New York City and New England · We are looking for a Senior Machine Learning Engineer with analytical and developer skills to join our team to develop industry leading machi ...
-
Machine Learning Research Engineer
1 week ago
Neural Magic Somerville, United StatesAbout Neural Magic · Based in Somerville, Massachusetts, Neural Magic is a series A startup backed by leading investors including Andreessen Horowitz, NEA, NEA, Pillar, VMware, Verizon Ventures, Comcast Ventures, and Amdocs. At Neural Magic we believe the future of AI is open and ...
-
Machine Learning Engineer
2 weeks ago
Reveal Health Tech Boston, United StatesJob Description · Job DescriptionReveal HealthTech is a dedicated healthcare life sciences focused technology services company – helping our clients with a range of AI and product engineering services. Reveal's mission is to unleash the full potential of technology for our client ...
-
Senior Machine Learning Engineer
2 weeks ago
Analog Devices Boston, United StatesADI's Central AI team develops next-generation AI technology that transforms our understanding of the physical world. We develop solutions at multiple tech stack layers, from AI-enabled software applications to deeply embedded AI algorithms. Our mission is to build the Intelligen ...
-
Machine Learning Engineer III
3 days ago
Chewy Boston, United States Full timeJOB DESCRIPTION Our Opportunity: · Chewy is looking for a Machine Learning Engineer III to join our Merchandising Data Science Team. In this role, you will combine an understanding of machine learning, advanced data analysis, statistical testing, and software development. As ...
-
Machine Learning Engineer III
2 weeks ago
Chewy Boston, United States Full timeJOB DESCRIPTION Our Opportunity: · Do you want to build a model that impacts the company's bottom line? Do you want to see how your ideas, pipelines, architecture, and experiments affect top-level decision-makers? If so, the Chewy Marketing & Science team is hiring We use the ...
-
Machine Learning Engineer, Nucleic Acids
1 week ago
Flagship Pioneering Cambridge, United StatesCompany Summary · Flagship Labs 97 Inc. (FL97) is a privately held, early-stage company pioneering the application of artificial intelligence to transform all science. Our Physical Sciences effort is developing a novel AI and data-driven approach to materials discovery and devel ...
-
Software Engineer, Machine Learning
2 weeks ago
whoop Boston, United StatesAt WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a higher level through a deeper understanding of their bodies and daily lives. RESPONSIBILITIES: · Build and design tools and infrastructure to support Data Scientists at Whoop ...
-
Senior Machine Learning Engineer
3 weeks ago
Microsoft Corporation Cambridge, United StatesMicrosoft Research (MSR) is hiring a Senior Machine Learning Engineer to work with our labs in New York City and New England · We are looking for a Senior Machine Learning Engineer with analytical and developer skills to join our team to develop industry leading machine learning ...
-
Machine Learning Implementation Engineer
2 weeks ago
OfferFit Boston, United StatesJob Description · Job DescriptionOfferFit was founded by ex-McKinsey and BCG math PhDs, and we're funded by leading Silicon Valley VCs. OfferFit replaces A/B testing with AI testing, powered by reinforcement learning AI. This allows lifecycle marketers to test & improve the perfo ...
-
Machine Learning Implementation Engineer
4 weeks ago
OfferFit Boston, United StatesJob Description · Job DescriptionOfferFit was founded by ex-McKinsey and BCG math PhDs, and we're funded by leading Silicon Valley VCs. OfferFit replaces A/B testing with automated experimentation, powered by self-learning AI. This allows lifecycle marketers to test & improve the ...
-
Machine Learning Engineer
1 week ago
Enolink Cambridge, United StatesAt Enolink, we're on a transformative journey to harness the unparalleled potential of AI in healthcare. Our ambition is to radically improve patient outcomes, accelerate drug development, and optimize healthcare systems through precision medicine. We envision a future where heal ...
-
Machine Learning Engineer
3 weeks ago
Kensho Cambridge, United StatesKensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. We are owned by S&P Global and operate independently. O ...
-
Machine Learning Engineer
1 week ago
C10 Labs Cambridge, United StatesJob Description · Job DescriptionDescriptionC10 Labs is an AI-focused venture studio based in Cambridge, MA. We are dedicated to propelling the frontiers of artificial intelligence by investing in and nurturing early-stage startups that aim to solve complex problems and shape the ...
-
The General Boston, United States Full timeAs the Machine Learning Sr. Manager, you will be accountable for project development, reporting, and delivery of multiple data science projects. You will work with the Data Science Manager, you will put data science models into production. · The Data Science Engineering Manager w ...
-
Machine Learning Engineer
1 week ago
Motorola Solutions Somerville, United States Full timeCompany Overview · At Motorola Solutions, we're guided by a shared purpose - helping people be their best in the moments that matter - and we live up to our purpose every day by solving for safer. Because people can only be their best when they not only feel safe, but are safe. W ...
-
Machine Learning Engineer
14 hours ago
ZS Boston, United States Full timeZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping solution ...
Senior Machine Learning Engineer - Cambridge, United States - Kensho
Description
Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. We are owned by S&P Global and operate independently. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, Kensho's solutions largely involve speech recognition (ASR), entity linking (NED), structured document extraction, automated database linking, text classification, and more.The NLP team at Kensho Technologies is at the forefront of designing and applying cutting-edge machine learning in the domains of natural language processing, natural language interfaces, and information retrieval paradigms over some of the richest and most complex financial and market datasets in the world. We are continuously expanding our portfolio of projects and are looking for passionate researcher-engineers to help us build and deploy state-of-the-art ML systems
Recently RAG-based systems that integrate structured and unstructured data are at the core of our team's projects. These solutions are integrated into the S&P Global platforms, providing users with the ability to find and analyze complex financial data efficiently.
The NLP team works closely with the Data, Product, Design, Backend & Frontend teams, and has the full support of our ML Ops and Infrastructure teams.
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.
At Kensho, we believe in flexibility-first, and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.
Kensho states that the anticipated base salary range for the position is 175k - 225k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.