- Be part of the team that pushes the boundaries of AI and creates the world's first AI lawyer. Partner with like-minded engineers from other companies to solve common problems (ex. RAG, fine-tuning approaches etc.)
- Extract insights from large scale unstructured documents, while maintaining security and privacy for highly sensitive client data
- Redefine human-computer interaction as we seek to build an AI agent
- Help build our engineering team
- Lead the development of top-tier retrieval models that are optimized for the retrieval-augmented generation (RAG) process, ensuring the delivery of highly relevant source material for generative models
- Enhance our RAG framework to improve document encoding, scoring, and selection mechanisms, with an emphasis on natural language understanding
- Undertake rigorous experimentation and analysis to benchmark retrieval models against industry standards, focusing on both precision and adaptability for generative tasks
- Collaborate with product teams to ensure seamless integration and alignment of retrieval and generative components
- Drive innovation by staying abreast of emerging trends and methodologies in retrieval systems and their applications within RAG frameworks
- Create pipelines to process and analyze documents on a large scale to provide insights for customers
- 7+ years of hands-on experience with retrieval models, including experience in a RAG or similar context utilizing retrieval to enhance generative processes
- Demonstrated experience with modern retrieval techniques such as dense passage retrieval (DPR), contrastive learning, or other advanced retrieval methods
- Familiarity with transformer models and sequence-to-sequence learning, particularly as it relates to document retrieval for generation
- Strong analytical skills, with a proven track record of tackling complex problems involving large-scale, multimodal data
- Experience with machine learning lifecycle management, from model development to production deployment
- Previous experience in a startup environment or as a founding ML Engineer
- Competitive salary
- Significant equity as a founding employee
- 100% coverage for medical, dental, and vision plans for both employees and their families
- Unlimited paid time off
- Flexible working hours and the ability to work 100% remotely
- Company computer and custom setup as needed
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Machine Learning Engineer
4 weeks ago
Pryon Boston, MA, United StatesWe're a team of AI, tech, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an industry-leading knowledge management platform. Our proprietary, cutting-edge natural language process ...
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Machine Learning Engineer
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Aquent Boston, MA, United StatesMachine Learning Engineer (Security) | NFCUJP | Remote · be an intermediate-level position within the ML engineering field but will also require business soft skills · Familiarity with Cloud computing environments such as Microsoft Azure · Familiarity and/or willing to learn d ...
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Elucid Bioimaging Inc. Boston, MA, United StatesWe are a rapidly growing Series-C, Boston-based medical technology company applying machine intelligence to medical imaging to help make more informed decisions on cardiovascular care - leading to better patient outcomes, improved quality of care, and clinicians reduced healthcar ...
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Machine Learning Engineer
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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 ...
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Machine Learning Engineer
4 weeks ago
Pryon Boston, MA, United StatesAbout Pryon: We're a team of AI, tech, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an industry-leading knowledge management platform. Our proprietary, cutting-edge natural la ...
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Machine Learning Engineer
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Suno Boston, MA, United StatesAbout Suno · At Suno, we are building a future where anyone can make music. You can make a song for any moment with just a few short words. Award-winning artists use Suno, but our core user base consists of everyday people making music — often for the first time. · We are a te ...
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Machine Learning Engineer
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Machine Learning Engineer
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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 ...
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Machine Learning Engineer
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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 ...
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Machine Learning Engineer
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Machine Learning Engineer
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Director, Machine Learning Engineering
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Principal Machine Learning Engineer
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Machine Learning Engineer
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Staff Machine Learning Engineer - Boston, MA, United States - Amicus Therapeutics
Description
About Amicus
Amicus is an AI startup dedicated to revolutionizing the professional services industry. Our mission is to automate mundane and repetitive tasks in legal firms, consulting firms, and similar sectors, freeing up professionals to focus on higher-value activities. Our innovative approach leverages the latest in AI technology to create solutions that are fundamentally transformative. Do you thrive in a high velocity, collaborative environment, fueled by curiosity and a never-ending desire to break status-quo? If so, let's chat. About The Role As an early member of our engineering team, you will play a pivotal role in shaping the direction of our product and technology. We are seeking exceptional candidates who are driven by challenges, thrive on hard work, and have a deep technical expertise that can contribute to the high-velocity growth of our startup. This role is perfect for someone who is gritty, self-directed, and passionate about creating impactful technological solutions in a fast-paced environment. We are in search of a visionary Staff Machine Learning Engineer to spearhead the enhancement of our retrieval models, which are integral to our RAG process. This role will focus on tailoring our retrieval systems to effectively select pertinent documents that serve as the knowledge foundation for subsequent generative tasks. Exciting challenges: