Machine Learning Researcher

Goliath Partners; New York (NY); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation

Strong long-term growth opportunities

Collaborative environment with top-tier technical talent

Job summary

Goliath Partners is looking for a Machine Learning Researcher in New York to develop deep learning models that directly impact business outcomes. Candidates should have 2+ years of experience in applied machine learning or deep learning, strong Python skills, and experience with frameworks like PyTorch or TensorFlow.

This role requires collaborating with researchers and engineers to deploy models into production, offering significant ownership and autonomy in a challenging environment.

Qualifications

• 2+ years of applied machine learning or deep learning experience.
• Strong Python skills and experience with ML frameworks like PyTorch, TensorFlow, or JAX.
• Track record of building impactful models.

Responsibilities

• Research and develop machine learning and deep learning models.
• Build, test, and iterate on novel architectures.
• Partner with researchers and engineers to deploy models.

Skills

Applied machine learning or deep learning experience

Strong Python skills

Experience with PyTorch, TensorFlow, or JAX

Strong mathematical abilities

Problem-solving abilities

Job description

A leading quantitative trading and technology firm is hiring a Machine Learning Researcher to develop cutting-edge deep learning models that directly impact business performance and decision-making. This is a highly technical role working alongside researchers and engineers to solve complex prediction, optimization, and modeling challenges at scale.

What You'll Do

• Research and develop machine learning and deep learning models for real-world prediction and optimization problems
• Build, test, and iterate on novel architectures using Python and modern ML frameworks
• Partner with researchers and engineers to deploy models into production
• Own projects from experimentation through implementation and performance evaluation

What You Bring

• 2+ years of applied machine learning or deep learning experience
• Strong Python skills and experience with PyTorch, TensorFlow, or JAX
• Track record of building models that deliver measurable business impact
• Strong mathematical and problem-solving abilities
• Experience rapidly prototyping and testing new ideas

Why Join

• Work on challenging, high-impact machine learning problems
• Significant ownership and autonomy
• Collaborative environment with top-tier technical talent
• Competitive compensation and strong long-term growth opportunities

If you're interested in applying advanced machine learning techniques to solve complex real-world problems in a highly technical environment, happy to share more