AI/ML Engineer

Posted 8 Days Ago
Hiring Remotely in San Francisco, CA
Remote
Senior level
Software
The Role
The AI/ML Engineer will design, develop, and deliver end-to-end ML-enabled products, focusing on enhancing the processing of data using machine learning techniques, particularly in natural language processing and modeling. Responsibilities include product ownership in a startup environment and iterative development, while maintaining a strong analytical and problem-solving mindset.
Summary Generated by Built In

About Prophecy 

Prophecy is the data copilot company. Fortune 500 enterprises - including the largest institutions in banking, insurance, healthcare & life sciences, and technology - rely on Prophecy Data Transformation Copilot to accelerate AI and analytics by delivering data that is clean, trusted, and timely. Prophecy enables all data users and makes them productive by helping develop, deploy, and observe data pipelines on cloud data platforms. Organizations trust Prophecy for the most demanding workloads, including tens of thousands of data pipelines that deliver massive volumes of data for AI and analytics.

Prophecy is backed by top VCs and investors including Insight Partners, SignalFire, Databricks, and JPMorgan Chase.

About The Role

The ML Engineer will be working on a next-generation product that will change the way that people are processing their data. Leverage your ML skills and put them to good use, to directly shape the future of the data engineering space & craft a brand new experience for our users. We pride ourselves on making complex technology more accessible while solving difficult technical problems. This is a once-in-a-lifetime opportunity to revolutionize the way data engineering is done. Come and join us - become a part of it!

The impact you will have

Design/Develop/Deliver: End-to-End Ownership
ML Engineers at Prophecy own, design, develop, and deliver end-to-end products for our
next-generation ML-enabled product.

Over Achiever
In Prophecy we encourage and give environments to engineers to overachieve their own limits.
Set up your own metrics and improve them iteratively. You are expected to autonomously figure
out the solutions to the challenges, while being supportive to your teammates.

Entrepreneurial skills
Own the features end to end as a founder/ceo from the requirement to delivery. We don’t
believe in hierarchy or the number of years of experience. Put yourself in the shoes of the use be curious, and willing to learn, work in a supportive environment and create the best product &
experience. Manage your own career growth.

What You'll Need

5+ years of hands-on machine learning experience
3+ years of experience in building products using natural language processing or
sequence modelling. Relevant examples:

  • Developed code generation machine learning products (similar to Codex) or
    worked on text-to-SQL problems
  • Built end-to-end semantic information extraction systems
  • Developed and delivered question-answering models and products
  • Built knowledge graphs or done (data modelling using graph databases like Neo4j, Dgraph, Neptune, etc)

You have built architectures for end-to-end real-time ML-enabled products
Solid foundation in data structures, algorithms, and software design with strong
analytical and debugging skills
Great problem-solving skills
Comfort in working in short, agile, iterative development cycles
Entrepreneurial spirit, priding yourself on getting things done with a high level of quality
Be end-product and design-conscious - you will be building an end-to-end product
Strong desire to work in a not well-structured, fast-moving startup environment
Bachelors of Science Degree of equivalent

Preferred Qualifications

Experience with OpenAI, GPT-3, Davinci or prompt engineering for those models
[Optional] Experience working with big-data data processing engines, e.g. Spark
[Optional] Experience with compiler development for general-purpose programming
languages like SQL, Python, or Scala
Postgraduate degree or PhD
Ability to assess new technologies and make pragmatic recommendations

  • Manage your own growth and career
  • Experience building a transformative product
  • High learning opportunity
  • End-to-end ownership of your projects

Benefits and Perks 

  • Prophecy covers 99% of employee health insurance and 75% for dependents
  • Very competitive compensation
  • We offer $200 per month towards wellness, gyms, massages, facials, and more! 
  • Celebrate your birthday and anniversary with a day off!
  • Flexible PTO 
  • Prophecy provides employees with a $500 professional development reimbursement every year
  • Company sponsored Long Term Disability and Life Insurance
  • FSA/HSA
  • Ability to have your fingerprint on an innovative platform
  • End-to-end ownership of your projects
  • And more!

*Benefits and perks may vary per country

Our Commitment to Merit and Inclusion

At Prophecy, we hire for merit and foster an inclusive culture where people from diverse backgrounds can excel and do their best work. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Prophecy are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and any other protected characteristics under applicable laws.

Your submission of this information is governed by our privacy policy and our use thereof.

Top Skills

Python
Scala
SQL
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The Company
HQ: San Francisco, CA
94 Employees
On-site Workplace
Year Founded: 2017

What We Do

Prophecy.io is the only low-code data engineering platform. Prophecy democratizes the development and deployment of high-quality data pipelines, uniquely combining visual development with agile software engineering best practices. The developed code is open source and is targeted at Apache Spark & Apache Airflow. Prophecy is headquartered in Silicon Valley.

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