Machine Learning Research Fellows

Intuition Machines


8 months ago

06/13/2019 10:21:23

Job type: Other

Category: All others


2019 ML Research Fellows – Job Description

Interested in working on hard problems at scale?

IMI builds ML products and services used by some of the largest companies in the world. Come learn from our veteran team of machine learning and distributed systems experts, hailing from Stanford, MIT, Apple, and Cloudera.

We are now opening applications for our 2019 Fellows program. You have the option of working from our San Francisco or Helsinki offices, or remotely: we have a large distributed workforce supplementing the teams in our offices, and are comfortable with remote collaboration.

As a discipline still finding its theoretical footing, doing ML at scale tends to uncover unique problems and occasionally spark unique insights. Our work is geared towards applying some of our more theoretical ideas, as we believe this is one of the best ways to push forward the field.

We conduct original research in areas like unsupervised and active learning, motivated by the unique problems and datasets we have access to as one of the larger users of cloud resources for ML.

You will have the opportunity to publish with our scientists if your work yields results, and we have a strong commitment to open source code and (when possible) datasets.

Research interests:

We are very interested in taking a more geometric view of neural network processes. A background in algebraic geometry, representation theory, or statistical physics will be helpful.

Separately, we are investigating future directions for active and online learning, with the unique capacity to rapidly test and apply at scale ideas in this area.

Finally, we are pursuing some interesting directions in multi-task or joint representation learning for anomaly detection, and in time series analysis.

Functional skills:

We work primarily in Python for research, with pyTorch and Tensorflow being our preferred tools. You will have access to our in-house distributed training and inference infrastructure, which has been designed for ease of use but still benefits from basic knowledge of distributed systems.

We also strive for a high degree of programming competence within our research group, as we have found that good discipline in implementing ideas makes your task easier and collaboration more pleasant. If you are one of the many excellent researchers who have never written a unit test this will likely change.

Please send your CV, github, and a brief description of what most interests you, along with your dates of availability and preferred location to <[email protected]>.

Please mention that you come from Remotive when applying for this job.

Help us maintain Remotive! If this link is broken, please just click to report dead link!

similar jobs

  • Songspace (CT +/- 2 hours)
    1 week ago

    Songspace is seeking a Data Developer to join our team that is responsible for developing and managing the data tools, applications, models, processes, and workflows that support the efficient and automated management and provision of the company’s data across internal systems and customer products, the ingestion of multimedia files and metadata provided by our clients and 3rd parties, and the exchange of music data with our sister companies and business partners. This role will also analyze and validate data, cleanse and transform data, and create/run SQL queries to deliver information to various teams across the company.This position offers an opportunity to design, build, and manage mission critical data applications and products with an experienced and supportive team in an interesting and fun industry.

    Job Responsibilities

    • Work with data, technology, and operations teams to design, build, test, and implement an automated data ingestion, integration, and exchange platform, and supporting enterprise data model

    • Design, create, and improve software to monitor, audit, and test data processes, systems, and applications

    • Process the ingestion of music metadata and multimedia assets provided by music creator, publisher,and record label customers and partners within the timelines and specifications defined by the Client Services Team

    • Validate, transform, and cleanse data as required

    • Monitor content delivery processes and queues and troubleshoot/resolve issues and errors

    • Point of contact for technical data issues for the internal team

    • Proactively investigate, troubleshoot, and solve technical data issues, escalating unsolved issues to the appropriate team

    • Create and sponsor concepts and work with internal teams to develop new software and tools that will assist clients and/or internal stakeholders to automate and optimize data workflow and data accessibility

    • Work with the data and technology teams to plan, prioritize, and manage technical backlog of data deliverables

    • Perform custom SQL queries and run existing scripts and queries upon request

    • Create and Maintain scripts to automate daily tasks

    • Create and Maintain test data, and Perform/Test upgrades, code changes and bug fixes

    • Create and Maintain documentation of code, scripts, tools, applications, and processes

    • Train team members in use of internal data tools

    • Perform other job-related tasks as directed

    Requirements

    Required

    • Must possess strong written and verbal communication skills

    • Must possess strong analytical skills

    • Must be committed to executing high-quality deliverables within defined scope and schedule

    • Must be self-driven, proactive, and open to new ideas in problem solving

    • Must be comfortable working independently and collaboratively with small, distributed teams

    • Must be curious and invest time to develop and expand knowledge and proficiencies for self and others

    Preferred

    • Experience with MySQL is preferred

    • Experience with *nix CLI and shell scripting is preferred

    • Experience with git is preferred

    • Experience with designing, developing, and using custom ETL code and processes is preferred

    • Experience creating, implementing, and using REST APIs is preferred

    • Experience with music data, music data standards (DDEX, CWR, ID3) is a plus

    • Experience with multimedia management software/tools and multimedia pipelines is a plus

    • Experience with music production, audio processing, and audio codices (.mp3, FLAC, WAV) is a plus

    • Experience with provisioning and supporting AWS data implementations (S3, EC2, RDS, Lambda,

    • Redshift, etc.) is a plus

    • Experience as a tech support/account manager or client-facing project manager is a plus

  • Auth0 is a pre-IPO unicorn. We are growing rapidly and looking for exceptional new team members to add to our teams and will help take us to the next level. One team, one score. 

    We never compromise on identity. You should never compromise yours either. We want you to bring your whole self to Auth0. If you’re passionate, practice radical transparency to build trust and respect, and thrive when you’re collaborating, experimenting and learning – this may be your ideal work environment.  We are looking for team members that want to help us build upon what we have accomplished so far and make it better every day.  N+1 > N.

    The Data Scientist will help build, scale and maintain the entire data science platform. The ideal candidate will have a deep technical understanding, hands-on experience in building Machine Learning models coming up with valuable insights, and promoting a data-driven culture across the organization. They would not hesitate to wrangle data, if necessary, understand the business objectives and have a good understanding of the entire data stack.

    This position plays a key role in data initiatives, analytics projects, and influencing key stakeholders with critical business insights. You should be passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source Data Science technologies.

    Responsibilities

      • Use Python and the vast array of AI/ML libraries to analyze data and build statistical models to solve specific business problems.

      • Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.

      • Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support.

      • Directly contribute to the design and development of automated selection systems.

      • Build customer-facing reporting tools to provide insights and metrics which track system performance.

      • Communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations

    Basic Qualifications

      • Bachelor's degree in Statistics, Applied Math, Operations Research, Engineering, Computer Science, or a related quantitative field2 years of working experience as a Data ScientistProficient with data analysis and modeling software such as Spark, R, Python etc.

      • Proficient with using scripting language such as Python and data manipulation/analysis libraries such as Scikit-learn and Pandas for analyzing and modeling data.

      • Experienced in using multiple data science methodologies to solve complex business problems.

      • Experienced in handling large data sets using SQL and databases in a business environment.

      • Excellent verbal and written communication.

      • Strong troubleshooting and problem solving skills.

      • Thrive in a fast-paced, innovative environment.

    Preferred Qualifications

      • Master's degree in Statistics, Applied Math, Operations Research, Engineering, Computer Science, or a related quantitative field.

      • 2+ years’ experience as a Data Scientist.

      • Fluency in a scripting or computing language (e.g. Python, Scala, C++, Java, etc.)

      • Superior verbal and written communication skills with the ability to effectively advocate technical solutions to scientists, engineering teams and business audiences.

      • Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.

      • Demonstrable track record of dealing well with ambiguity, ability to self-motivate, prioritizing needs, and delivering results in a dynamic environment.

      • Combination of deep technical skills and business savvy to interface with all levels and disciplines within our and our customer’s organizations

    Skills and Abilities

      • + BA/BS in Computer Science, related technical field or equivalent practical experience.

      • At least 3 years of relevant work experienceAbility to write, analyze, and debug SQL queries.

      • Exceptional Problem solving and analytical skills.

      • Fluent in implementing logistic regression, random forest, XGBoost, bayesian and ARIMA in Python/RExperience in User path navigation with Markov Chain, STAN Bayesian analysis for A/B testingFamiliarity with Sentiment Analysis (NLP) and LSTM AI modelsExperience in full AI/ML life-cycle from model development, training, deployment, testing, refining and iterating.

      • Experience in Tableau, Apache SuperSet, Looker or similar BI tools.

      • Knowledge of AWS Redshift, Snowflake or similar databases

    Preferred Locations:


      • #US; #AR;
    Auth0’s mission is to help developers innovate faster. Every company is becoming a software company and developers are at the center of this shift. They need better tools and building blocks so they can stay focused on innovating. One of these building blocks is identity: authentication and authorization. That’s what we do. Our platform handles 2.5B logins per month for thousands of customers around the world. From indie makers to Fortune 500 companies, we can handle any use case.

    We like to think that we are helping make the internet safer.  We have raised $210M to date and are growing quickly. Our team is spread across more than 35 countries and we are proud to continually be recognized as a great place to work. Culture is critical to us, and we are transparent about our vision and principles

    Join us on this journey to make developers more productive while making the internet safer!
  • 3 weeks ago

    Here at Crisp, we value the strength in teamwork, and strongly believe that it’s the key to Crisp’s success. By bringing together bright, motivated creators, wherever they live and work, we are leveraging humanity’s diversity of experience and background in order to understand the challenges facing our food supply, and solve them together. Come join us, and help build the type of business you’d like to be a part of.

    We are a socially conscious, distributed team. We give you the opportunity to solve challenges in the global food industry while living where you’re most comfortable and working in areas where you can help foster and grow the community that you are a part of.

    As one of the first members of the data science team at Crisp you have will have a unique opportunity to turn previously scattered and inconsistently structured data into immediately actionable food industry insights to reduce waste, increase freshness and much more.

    You have a proven track record of reading data and making solid conclusions. You know both the art and science of analytics - not only do you know how to find answers in the data, you also know which questions should be asked in the first place and what data can help us further bolster our conclusions. You love engaging with customers, learning about their challenges and then diving into the data to see how to solve them!

    Signs of a great candidate

    • Collaborative. You know that your colleagues’ perspectives will make our customers successful. Similarly, you use your strengths to help us grow together. You propose ways for us to be more engaged and successful with our customers.

    • Customer focused. Our customers are at the forefront of your day.  You prioritize our customers’ voice to ensure their needs are met. 

    • Ambitious, curious, and resourceful. You are innately curious, and you aren’t afraid to work hard. You are self driven, you take direction well but are able to be creative to find results on your own when asked. You are driven to succeed because your hard work and results make you proud.

    • Disciplined and reliable.  We are a distributed company and you enjoy the benefits of working distributed while consistently delivering what you have committed to. When you hit a snag, you communicate and reset expectations early.

    • Appreciative of honest feedback.  You know that the best way to learn and grow is through constructive feedback delivered kindly. You view feedback given to you as an opportunity to get better and strive to do the same for others.

    • Work smarter and harder. You often identify a problem, create a solution and bring it to a state of completion - with others, or even on your own.  You find ways of eliminating or automating stuff that is uninteresting or wasteful.

    Crisp’s Data Science Tech Stack

    • Modern libraries and frameworks.  We use Python with Pandas and Numpy for data science in production.  We use technologies like Jupyter and R during EDA.

    • Diverse technologies and algorithms, solving real world problems.  At Crisp you’ll work with a wide range of technologies and algorithms on a daily basis, in a focused effort to solve large scale problems.

    • Continuous deployment. Code is never far from being deployed to production, because if it’s not in production, it’s not solving problems in the real world. Our branch time spans are short, and features under development are hidden behind feature flags.

    • Cloud first. As a services offering in the 21st century, the cloud isn’t the future, it’s the present. We’re fully invested in using the features offered by our cloud provider in order to minimize technical debt and maximize productivity.

    • Micro-services. Not for the sake of the buzz, but when they make sense. By adopting a modern, thoughtful services architecture we’re able to scale organizationally, reduce technical debt, and maintain a high, sustained velocity.

    • Start-up mode.  The team is still small, and the product is fresh.  You’ll be able to exert a large amount of influence, and contribute to decisions that will determine the future of the product and the team.

    We are building a team of developers with a breadth of combined experiences so that we can collaboratively build great products. There are no hard requirements on specific background, experience or geographical location. Instead we’re looking for individuals that are capable, reliable, and hoping to grow along with us. Do you have strengths you can share? If so, we’d love to hear from you!

Remotive can help!

Not sure how to apply properly to this job? Watch our live webinar « 3 Mistakes to Avoid When Looking For A Remote Startup Job (And What To Do Instead) ».

Interested to chat with Remote workers? Join our community!