Location: remote (our HQ is in the Bay Area)

Our mission is to make legal help accessible to everyone. At Sleegal, we use machine learning to build a legal marketplace that accurately matches clients with lawyers. Today, users have to go online to search for lawyers on their own, giving calls to multiple lawyers hoping to find the right one at the right price. With our tech, users can find the lawyers that truly match their needs, with just a few seconds of online chat, and entirely for free. 

You will work closely with our founding team and the engineering team to develop our data science and machine learning strategies. You will play a critical role in improving the quality of matching between clients and lawyers. We will expect you to not only solve problems but propose new ideas that may fundamentally change our product.

We are a dynamic team with a mixed background in law, business, and tech. Our core team members earned degrees from top law schools and business schools in the US and have deep experience building successful AI products in the Valley, ranging from autonomous vehicles to wearable devices. We are happy to mentor you and let you own projects in areas that you are interested in.

Join us now.

What’s in it for you

• Own the end-to-end machine learning strategies for our product. Develop the narrative for the use of machine learning
• Design and implement machine learning models to match clients with lawyers
• Design and implement data pipelines to streamline the machine learning process
• Research emerging ML/NLP solutions
• Measure key product metrics and identify insights from data by building automated dashboards
• Manage and develop a talented team of Data Scientists
• Primary languages: Python, R

You could be a great fit if you have

• At least 3 years of industry experience related to data science
• Major in Computer Science, Data Analytics, Business Information Systems, or related fields
• Expert in Python
• Experience in writing and  implementing machine learning models
• Experience in natural language processing (NLP)
• Experience in data pipeline design and data cleaning
• Experience in people management 
• Entrepreneurial, self-starter, motivated to bring a product from 0 to 1 
• Nice to have: SQL 

What to expect

• An experienced, productive co-founding team you can trust
• A true tech startup experience with a focus on ‘build’ with no bureaucracy or big egos
• You will be working fully virtually with the team
• Earn the company’s stock option grant based on your performance and level of experience

Location: remote

Our mission is to make legal services accessible to everyone. At Sleegal.ai, we are using machine learning to build a legal marketplace that accurately matches clients with lawyers. Today, users have to go online to search for lawyers on their own, giving calls to multiple lawyers hoping to find the right one at the right price. With our tech, users find the lawyers that truly match their needs, with just a few lines of online chat, and completely for free. 

We are a dynamic group with a mixed background in law and tech. Our core team members earned degrees from top law schools and business schools in the US, and have deep experience in building successful AI products, ranging from autonomous vehicles to wearable devices. 

Join us now.

What you will do

• Research, identify and contact potential leads for member lawyers 
• Conduct phone calls or video calls to describe Sleegal’s vision, value proposition and technological advantage to convince lawyer become our paying members 
• Take copious notes of the lawyers’ practice, who they are, what they are looking for, their pain points, their reason for liking or disliking Sleegal AI’s approach 
• Input lawyer relevant information in our data base 
• Follow up with survey, updates and maintain the relationship 

Who you are

• Passionate about Sleegal AI’s vision and tech 
• Can do attitude, can hustle and can roll out your sleeves and find lawyers at a fast pace
• Sell ice cube to eskimos, don’t take no for an answer 
• Persuasive, persistent, pleasant but not overbearing or annoying 
• Basic understanding of various legal practices and ability to connect with lawyers intellectually a plus

What’s in it for you

• Earn considerable amount of Sleegal’s equity for each lawyer you on-boarded
  
• Create the product vision for Sleegal
• Be part of a growing company that one day will become huge in legal tech 
• Mentorship and leadership from an experienced executive team who has been there and done that at multiple extremely successful startups (Uber, Zoox, Cruise, Lyft, Nio) 

What to expect

• An experienced, productive co-founding team you can trust
• A true startup experience with a focus on ‘build’ with no bureaucracy or big egos
• You will be working fully virtually with the team
• 10-20  hours of work per week
• No cash salary at the current stage, but you can earn the company’s stock option grant based on your performance and level of experience

Location: remote

Our mission is to make legal services accessible to everyone. At Sleegal.ai, we are using machine learning to build a legal marketplace that accurately matches clients with lawyers. Today, users have to go online to search for lawyers on their own, giving calls to multiple lawyers hoping to find the right one at the right price. With our tech, users find the lawyers that truly match their needs, with just a few lines of online chat, and completely for free. 

We are a dynamic group with a mixed background in law and tech. Our core team members earned degrees from top law schools and business schools in the US, and have deep experience in building successful AI products, ranging from autonomous vehicles to wearable devices. We are happy to mentor you and let you own projects in areas that you are more interested in.

As a member of the Data Operations team, you will work closely with both our product and engineering teams to collect and process legal data. You will play a critical role in defining the efficiency of the search process as data is the backbone of machine learning.  With this role, you will have the opportunity to show off your legal knowledge, learn how AI works, and pivot between projects in a fast-paced environment.

Join us now.

What’s in it for you

• Fully own the data pipeline, from sourcing data to quality control
• Research and label a large amount of cases in various areas of practices
• Make adjustments to data to improve the search quality
• Identify opportunities for future product development 
• Document errors for the engineering team
• Identify high-quality data sources 

You could be a great fit if you have

• Major in law (J.D., graduate students, or undergraduates)
• Knowledge in various areas of legal practices 
• Knowledge in various sources of legal data 
• Experience in processing and analyzing legal data
• Great attention to details and integrity 
• Good at asking questions. Excellent oral and written communication skills
• Nice to  have: data analytics skills

What to expect

• An experienced, productive co-founding team you can trust
• A true startup experience with a focus on ‘build’ with no bureaucracy or big egos

• You will be working fully virtually with the team
• 10-20 hours of work per week
• No cash salary at the current stage, but you can earn the company’s stock option grant based on your performance and level of experience