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startupranking
Startupranking.com is a comprehensive platform that ranks and analyzes startups from around the world based on various criteria such as web traffic, social media presence, and funding information. It provides users with valuable insights into the startup ecosystem, allowing them to discover new and upcoming companies, track their progress, and connect with potential partners or investors. The website also offers a range of tools and resources for startups to promote their products and services, as well as access to a community of like-minded entrepreneurs for networking and collaboration opportunities.
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EncryptedSite is Encrypted
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CountryHosted in United States
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CityAshburn, Virginia
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Latitude\Longitude39.0437 / -77.4875 Google Map
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Traffic rank#48,000 Site Rank
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Site age16 yrs old
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Site Owner informationWhois info
Website is Safe
Site is not blacklisted
Traffic rank
#48,000
#48,000
Site age
16 yrs
16 yrs
Location
United States
United States
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Newest job postings for startupranking
via Upwork
posted_at: 4 days agoschedule_type: Contractorsalary: 50–70 an hourwork_from_home: 1
We are a pre-seed funded AI startup focused on using machine learning to revolutionize the legal industry. Our team comprises of experts in machine learning who have worked at top-tier US tech companies and law firms, and we are passionate about using AI to improve access to justice and legal services. We are looking for a highly motivated Machine Learning Engineer to join our team and help us... take our platform to the next level.
As a Machine
We are a pre-seed funded AI startup focused on using machine learning to revolutionize the legal industry. Our team comprises of experts in machine learning who have worked at top-tier US tech companies and law firms, and we are passionate about using AI to improve access to justice and legal services. We are looking for a highly motivated Machine Learning Engineer to join our team and help us... take our platform to the next level.
As a Machine Learning Engineer, you will be responsible for improving the key components of document retrieval, search, and ranking in a large corpus of unstructured data, also using LLM-based approaches. This role is ideal for anyone interested in natural language processing and the application of large language models. You will be the first ML employee on our team and will have the opportunity to gain experience deploying LLM-based applications and contributing to the development of our cutting-edge AI technology.
Responsibilities:
- Experiment with different approaches to improve the accuracy and relevance of search results
- Experiment with LLM prompt engineering to improve ranking quality
- Build infrastructure of evaluation and comparison of ML models on large multimodal datasets
- Design and implement automatic label collection pipelines
- Experiment with different query expansion algorithms
- Collaborate with the rest of the team to integrate the machine learning models into our platform.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
- 3+ years of experience in machine learning and natural language processing.
- Experience with Python, TensorFlow, Keras, and other ML frameworks and libraries.
- Understanding of search algorithms, information retrieval, and ranking.
- Interest in implementing machine learning pipelines in Python, Java, Scala, or similar languages
- Excellent problem-solving and communication skills.
If you are a self-starter who is passionate about using AI to solve real-world problems, and you are excited about the opportunity to work on a cutting-edge platform in the legal industry, we want to hear from you Show more details...
As a Machine Learning Engineer, you will be responsible for improving the key components of document retrieval, search, and ranking in a large corpus of unstructured data, also using LLM-based approaches. This role is ideal for anyone interested in natural language processing and the application of large language models. You will be the first ML employee on our team and will have the opportunity to gain experience deploying LLM-based applications and contributing to the development of our cutting-edge AI technology.
Responsibilities:
- Experiment with different approaches to improve the accuracy and relevance of search results
- Experiment with LLM prompt engineering to improve ranking quality
- Build infrastructure of evaluation and comparison of ML models on large multimodal datasets
- Design and implement automatic label collection pipelines
- Experiment with different query expansion algorithms
- Collaborate with the rest of the team to integrate the machine learning models into our platform.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
- 3+ years of experience in machine learning and natural language processing.
- Experience with Python, TensorFlow, Keras, and other ML frameworks and libraries.
- Understanding of search algorithms, information retrieval, and ranking.
- Interest in implementing machine learning pipelines in Python, Java, Scala, or similar languages
- Excellent problem-solving and communication skills.
If you are a self-starter who is passionate about using AI to solve real-world problems, and you are excited about the opportunity to work on a cutting-edge platform in the legal industry, we want to hear from you Show more details...
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