Machine Learning Platform Engineer (AI)

TL;DR

Machine Learning Platform Engineer (AI): Building foundational components for feature engineering and training/serving ML models at scale, with an accent on stream processing, distributed training, and highly available online services. Focus on advancing ML inference infrastructure, optimizing low latency streaming pipelines, and evangelizing state-of-the-art practices for high-performance distributed training jobs.

Location: In-person participation is required throughout the year for team and company-wide offsites. Must be authorized to work in the US due to US-specific benefits and E-Verify program participation.

Salary: $152,405–$179,300 USD

Company

hirify.global is a cryptocurrency exchange platform on a mission to increase economic freedom in the world by building an onchain platform and the future global financial system.

What you will do

• Form a deep understanding of Machine Learning Engineers’ needs and current capabilities and gaps.
• Advance high-availability and low-latency ML inference infrastructure that runs both predictive ML models and LLMs.
• Optimize low latency streaming pipelines to provide ML models with the freshest and highest quality data.
• Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data.
• Build tooling to observe the quality of data going into models and to detect degradations impacting model performance.

Requirements

• 2+ years of industry experience as a Software Engineer.
• Strong understanding of distributed systems.
• Ability to write high-quality code and excellent communication skills.
• Experience designing, building, scaling, and maintaining production services.
• Obsessive focus on delivering a seamless experience for other engineers, treating them as customers.
• Must be authorized to work in the US.

Nice to have

• Experience building ML models and working with ML systems.
• Experience working on a platform team and building developer tooling.
• Experience with Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB.

Culture & Benefits

• Intense work culture focused on mission and high-caliber colleagues.
• Remote-first model, but with required in-person participation for annual team and company-wide offsites.
• Comprehensive Medical, Dental, and Vision Plans with generous employee contributions.
• Health Savings Account with company contributions.
• 401(k) plan with company match.
• Wellness Stipend, Mobile/Internet Reimbursement, and Connections Stipend.
• Volunteer Time Off, Fertility Counseling and Benefits, and Generous Time Off/Leave Policy.
• Option to get paid in digital currency.

Hiring process

• hirify.global pilots an AI tool for initial screening interviews for select roles.
• Human recruiters review interview responses (voice recording and/or transcript).
• hirify.global pilots an AI interview intelligence platform to transcribe and summarize interview notes for interviewers.
• AI is not used to make employment decisions; human review is always involved.