Machine Learning Engineer

Early-stage deep-tech AI startup building helpful AI experiences across consumer space, focused on domain-specific AI applications.
$40,000 - $200,000
Machine Learning
Mid-Level Software Engineer
In-Person
1 - 10 Employees
3+ years of experience
AI

Description For Machine Learning Engineer

Verneek, an early-stage deep-tech AI startup in NYC, is seeking a Machine Learning Engineer to join their core team. The role focuses on building AI-native helpful experiences across the consumer space, working on cutting-edge AI technology with real-world applications. The position involves implementing and scaling complex AI/NLP models for their proprietary AI platform.

The ideal candidate will have strong foundations in Computer Science with at least 3 years of experience in Python and machine learning frameworks like PyTorch. They should have proven experience deploying large-scale AI/NLP systems to production. The role offers an opportunity to work on fundamental AI research problems while building practical applications.

Working at Verneek means joining a team of AI enthusiasts who are passionate about making a difference through AI innovation. The company offers comprehensive benefits including medical insurance, daily chef-prepared lunches, and visa sponsorship. The work environment is fast-paced and impact-driven, with opportunities to shape the company's culture and future.

The position is based in New York City and offers a competitive salary range of $40,000-$200,000. This is an excellent opportunity for someone who wants to be at the forefront of AI development while working on meaningful applications that can help people in real-world scenarios.

Last updated 3 days ago

Responsibilities For Machine Learning Engineer

  • Implement, scale, and maintain complex AI/NLP models supporting the Verneek AI platform

Requirements For Machine Learning Engineer

Python
  • BSc. degree in Computer Science or related fields
  • 3+ years of experience with Python
  • 3+ years hands-on experience developing architectures with machine learning frameworks such as PyTorch
  • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production
  • Work authorization in the USA at the time of hire
  • MSc. degree in Computer Science or related fields (preferred)
  • Experience in Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning and learning with limited data (preferred)
  • Experience with building models in the commerce/retail domain (preferred)
  • Working knowledge of Scala (preferred)

Benefits For Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Commuter Benefits
Visa Sponsorship
  • Stellar medical, dental, vision, disability, and life insurance
  • Daily private Chef lunch, curated to personal diets
  • Transportation Benefits
  • 401K matching contributions
  • Flexible PTO
  • Visa/Green Card Sponsorship
  • Career growth support through sponsoring learning opportunities and mentorship

Interested in this job?

Jobs Related To Verneek Machine Learning Engineer

Software Engineer III, Core Machine Learning, Google Cloud

Mid-level Software Engineering role at Google Cloud focusing on Core Machine Learning, offering competitive compensation and the opportunity to work on cutting-edge ML infrastructure.

Software Engineer II

Microsoft Azure GenAI team seeks Software Engineer II in Hyderabad for developing large language model technologies, offering hybrid work and comprehensive benefits.

Software Development Engineer, Machine Learning, Audible

Software Development Engineer position at Audible focusing on machine learning engineering, working with LLMs and building scalable ML infrastructure.

Software Engineer III, AI/ML

Mid-level Software Engineering role at Google focusing on AI/ML development, requiring 2 years of experience and strong ML infrastructure knowledge.

Software Engineer III, AI/ML, Google Cloud

Software Engineer III position at Google Cloud focusing on AI/ML development, requiring 2 years of software development experience and expertise in machine learning infrastructure.