Staff Machine Learning Engineer, Public Company - Palo Alto, CA, United States - Recruiting From Scratch

Description

Who is Recruiting from Scratch :

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.

This is a hybrid role based in our Palo Alto or San Francisco offices and will require you to be in office Tuesdays and Thursdays.

What's so interesting about this role?

We believe that AI can revolutionize the dating industry. Our Data Engineer lead is responsible for building high quality ML datasets at scale, used to train ML models that power AI-centric features. In this pivotal role, you will have the opportunity to build foundational tools and data pipelines to ingest, normalize and clean the valuable data that would be fundamental for our ML engineers to build AI tools including recommendations, LLMs, ads, visual search, growth/notifications, trust and safety.

What's the job?

As a Principal ML engineer you will have deep subject matter expertise in the area of recommendations science. You will work with multiple teams of engineers and product managers to translate business and functional requirements into concrete deliverables. You will lead ground-breaking efforts in Generative AI to develop new approaches to Personalization, and provide thought leadership to scientists and engineers to invent and implement scalable ML recommendations supporting new Customer Experiences.

• Lead cutting-edge algorithm development in machine learning and collaborate with other engineering teams to adopt the innovations into Grindr problems
• Collect, analyze, and synthesize findings from data and build intelligent data-driven model
• Scope and independently solve moderately complex problems; write clean, efficient, and sustainable code
• Be an expert in matching algorithm and recommender systems machine learning models and own the implementation of dating recommendations in Grindr
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search

What we'll love about you

• BS in Computer science/Math or related field.
• Mastery of at least one systems languages ( Python, Java, C++) and one DL framework (Pytorch, Tensorflow, Keras) and one data analysis libraries (Pandas, R)
• Extensive experience building, deploying and maintaining end-to-end recommendation systems
• Experience in building complex, real-time systems involving AI, ML, NLP, Recommender Systems, Ads with successful delivery to customers.
• Computer Science fundamentals in data structures, algorithm design and complexity analysis.
• 5+ years working experience in engineering or R&D teams that build large-scale production-level ML-driven projects. Ability to take a project from requirements gathering and design to actual product launch
• Strong track record of working with language modeling technologies. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, and evaluation benchmarks.
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment and expertise with Git version control.

We'll really swoon if you have

• MS or PHD degree in Computer Science or Machine Learning.
• Experience working on recommender systems and matching algorithms in dating industry
• Expertise in large language models or demonstrated ability to develop this expertise quickly.
• Exposure to architectural patterns of large scale software applications
• Experience in shipping products to millions of customers or have started a new line of product
• Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
• Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.

What you'll love about us

• Mission and Impact: We are the world-leading LGBTQ social networking service. Your role will impact the lives of millions of LGBTQ people around the world
• Multiple Locations: We are hiring someone for this role to be based ideally in San Francisco or Palo Alto
• Family Insurance: Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents
• Retirement Savings: Generous 401K plan with 6% match and immediate vest in the US
• Compensation: Industry-competitive compensation and eligibility for company bonus and equity programs
• Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more
• Additional Benefits: Flexible vacation policy, monthly stipends for cell phone, internet, wellness, and food, one-time home-office setup stipend, and company-sponsored events

Base Pay Range

$160,000—$220,000 USD