Senior Machine Learning Engineer (AI)

Location: hirify.global employees may work from an office, from home, or in a combination of both. Hiring is available in countries where hirify.global has a legal entity. Interviews and onboarding are conducted virtually.

Base pay in the United States: Zone A $206,100–$269,075; Zone B $185,490–$242,168; Zone C $171,063–$223,332 annually. Additional benefits, bonuses, commissions, and equity may apply.

Company

hirify.global develops software products that help teams collaborate and support different types of work.

What you will do

• Develop and implement machine learning algorithms and sophisticated models.
• Design system and model architectures and conduct experimentation and model evaluation.
• Build AI functionality into hirify.global products and services using large amounts of data.
• Collaborate with product, engineering, and analytics teams.
• Provide guidance to junior machine learning engineers.
• Contribute to shared AI capabilities including search, knowledge discovery, and conversation.

Requirements

• Bachelor’s or Master’s degree, preferably in Computer Science, or equivalent experience.
• 3+ years of related industry experience in data science.
• Expertise in Python or Java and the ability to write performant, production-quality code.
• Familiarity with SQL, Spark, and cloud data environments such as AWS or Databricks.
• Experience building and scaling machine learning models in business applications using large amounts of data.
• An Agile development mindset with an appreciation for continuous iteration and improvement.

Nice to have

• Experience in consumer or B2C SaaS, or enterprise/B2B environments.
• Experience developing deep learning-based models and working on LLM-related applications.
• Ability to solve ambiguous and complex problems, navigate uncertainty, break challenges into manageable components, and develop innovative solutions.

Culture & Benefits

• Distributed-first work model with office, home, or combined work options.
• Virtual interviews and onboarding.
• Compensation may include benefits, bonuses, commissions, and equity.
• Accommodations or adjustments are available throughout the recruitment process.