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Full stack/Back-end developer

ABOUT US: At LAER AI, we are bringing state-of-the-art AI technology to real-world problems in the enterprise world. Whether you have experience in Machine Learning and Natural Language Processing or not, you will pick it up by working closely with a group of PhDs in these fields. Your task will be to implement real-world solutions, and learn a lot in the process!

THIS POSITION: This is a software engineering position in an early stage startup. As our primary goal is to develop a Minimal Viable Product (MVP), this position will require to be able to develop rapid prototypes, brainstorm ideas, test hypotheses and work closely in a small team, currently consisting of just two founders (PhDs in Machine Learning from Cornell and Carnegie Mellon). Your contributions will be fundamental to the success of the company.

This position will require you to:

1. work closely with Machine Learning scientists/researchers

2. implement data processing algorithms and pipelines

3. work with the team to implement overall system architecture

4. work with and process large data-sets

5. write automatic tests

6. work closely with and supervise a team of remote developers and testers

Front-end experience (e.g., Django, HTML) is a bonus, but not required.

This is a FULL-TIME job, however, in some cases, INTERNSHIP or CONTRACT work is possible.

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Senior Full Stack Engineer (Python)

MINDBODY is the leading technology platform for the wellness industry. Local entrepreneurs worldwide rely on MINDBODY to run their businesses, and consumers use MINDBODY every day to find and engage with fitness, wellness and beauty providers in their communities. As the newest addition to this family, we now have the unprecedented opportunity to scale rapidly within the 60,000+ businesses on the platform. With 300+ business using Bowtie today, we’ve already seen 6M messages sent over the platform and 35k bookings made by our AI.

Software Engineer III is a senior role - we’re looking for a seasoned, driven full stack engineer to become a key player on our team and help take Bowtie to the next level. This includes leading projects, architecting features, scaling the platform, and mentoring junior engineers. We’re a fast-paced, focused, humble group with a sense of humor, and we’re looking forward to meeting you!

MINIMUM QUALIFICATIONS AND REQUIREMENTS:

  • Bachelor’s degree in Computer Science or equivalent

  • Expertise in Python

  • 3+ years of industry experience in programming high quality web applications, mobile and/or large-scale products in a team environment

  • Familiar with Agile methodologies

  • Passion for problem solving and strong communication skills

  • Experience leading projects from start to finish

  • Experience with test-driven development and writing and maintaining high level test coverage, including both unit and integration tests

  • Nice to have experience in the following technologies:

  • Django

  • Production cloud environments (AWS, Heroku)

  • Relational Databases (SQL)

  • Git, Continuous Integration / Delivery

  • Javascript, React / React Native

  • Machine Learning / NLP

PRINCIPAL DUTIES AND RESPONSIBILITIES:

  • Lead the development of impactful features for the Bowtie product

  • Design, develop, test, deploy and maintain high-quality software (aka ship lots of code)

  • Collaborate with developers, product managers, and designers on projects

  • Collaborate with senior team members on key architecture decisions

  • Participate in regular code reviews, often in a mentorship capacity

  • Establish and refine internal best practices and coding conventions

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Senior ML Engineer - Build the next generation of AI platform in Fintech

This is an outstanding opportunity to join a rapidly growing, series A, remote-friendly fintech with a dynamic team. You will be building the future of trade finance and SME lending using cutting-edge AI/ML techniques.

We seek an ambitious and self-motivated Senior Machine Learning Engineer to join our core engineering team to keep up with customer demand. The ideal teammate is an experienced professional looking to take ownership of critical components of our proprietary machine learning platform.

As a Senior Machine Learning Engineer, you will be responsible for:

  • Designing and coding highly-scalable machine learning models for real-time prediction, streaming and batch processing.

  • Working alongside other engineers, data scientists, and product teams to build AI decision engines for financial institutions and Fortune 500 corporations.

  • Enabling data scientists to iterate quickly and deploy machine learning models into production.

  • Providing guidance in developing highly scalable algorithms based on state-of-the-art machine learning and deep learning methodologies.

  • Following agile processes with a focus on delivering production-ready testable code in small iterations.

You should be:

  • Curious to learn and assimilate information quickly, enthusiastic to share and teach others.

  • Keenly analytical and neurotic about problem-solving.

  • An outstanding communicator with sound interpersonal skills.

  • Strongly interested in technology and continuous learning.

  • Able to work autonomously and resourcefully in a fast-paced startup environment.

You should have:

  • 4+ years of professional machine learning engineering experience in data-intensive environments.

  • Familiarity with concepts in data mining, data engineering, and backend API development.

  • Advanced skills and experience using Python, SQL, Bash and other scripting/compiled languages.

  • Demonstrated knowledge of distributed computing frameworks such as Apache Spark.

  • Demonstrated experience with the Python data engineering & machine learning ecosystem, including Pandas, Flask and ETL.

  • Experience with or exposure to Amazon Web Services (AWS), Google Cloud Platform (GCP), Git, Jenkins and Docker-based continuous-integration & deployment pipelines.

  • Proven track record of collaboration with a variety of decision-makers to drive impact.

  • Experience in the fintech industry a plus.

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