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Gradient Jobs (NOW HIRING)

Need project/program management skills with basic SW and MRI understanding (preferred) Our customer is trying to develop some SW related to 2 MRI workstreams namely oscillating gradient diffusion ...

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How much do gradient jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for gradient in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is the difference between Gradient vs Data Analyst?

AspectGradientData Analyst
Required CredentialsTypically requires a background in machine learning, data science, or related fields, often with programming skillsUsually requires a degree in statistics, mathematics, or business, with proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily in tech companies, startups, or research labs focusing on AI and machine learning projectsCommonly in corporate, finance, healthcare, or marketing sectors analyzing business data
Employer & Industry UsageUsed in AI development, machine learning projects, and data science teamsUsed across industries for business insights, reporting, and decision-making

While both Gradient and Data Analyst roles involve working with data, Gradient focuses more on machine learning and AI development, requiring programming and technical expertise. Data Analysts primarily interpret and visualize data to support business decisions, often with less emphasis on coding. Understanding these differences helps in choosing the right career path or job search focus.

What are Gradient jobs?

Gradient jobs typically refer to roles related to machine learning, artificial intelligence, or technology companies named 'Gradient.' In the context of machine learning, gradients are mathematical tools used in optimization algorithms, such as gradient descent, which is fundamental to training AI models. Professionals working in Gradient jobs might focus on developing, implementing, or optimizing these algorithms, or they could be employed by organizations that provide AI infrastructure or platforms, like Gradient from Paperspace. The responsibilities can range from research and development to software engineering, depending on the specific job role and employer.

What are some common challenges faced by machine learning engineers working on gradient-based optimization techniques?

Machine learning engineers focusing on gradient-based optimization often encounter challenges such as vanishing or exploding gradients, which can hinder model training, especially in deep neural networks. Debugging issues related to convergence, learning rate selection, and ensuring numerical stability are key aspects of the role. Collaboration with data scientists and researchers is essential to refine models and experiment with different optimization strategies. Staying updated with the latest advancements in algorithms and techniques also helps address these challenges effectively.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer specializing in gradient-based optimization, and why are they important?

To thrive as a Machine Learning Engineer focused on gradient-based optimization, you need a solid background in mathematics, statistics, and computer science, often with a degree in a related field. Expertise in frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of optimization algorithms are typically required, with certifications in data science or machine learning considered valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and explain complex concepts. These skills ensure that you can design, implement, and refine machine learning models that rely on gradient-based methods for optimal performance.
More about Gradient jobs
What cities are hiring for Gradient jobs? Cities with the most Gradient job openings:
What states have the most Gradient jobs? States with the most job openings for Gradient jobs include:
Infographic showing various Gradient job openings in the United States as of June 2026, with employment types broken down into 48% Full Time, 51% Part Time, and 1% Contract. Highlights an 46% Physical, and 54% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Senior Experiential Designer

Gradient Experience

Manhattan, NY

$112K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago


Job description

The Company

Gradient is a fast-paced, creatively led experiential marketing agency based in NYC. Known for designing award-winning experiences for top-tier clients in the spirits, fashion, beauty, and luxury industries, we are storytellers, culture shapers, and brand partners.


The Opportunity

We are looking for a Senior Experiential Designer to join our creative team full-time. This role is ideal for a designer with a refined aesthetic, strong technical capabilities, and a deep passion for designing immersive environments for premium and luxury brands.

As a senior creative leader, you will help guide projects from concept through execution. You will collaborate closely with strategy, production, and client service teams to develop big ideas, shape creative direction, and ensure exceptional execution at every stage of the design process.

This role requires both creative vision and technical precision, with the ability to translate concepts into compelling spatial experiences.


What You Bring

  • 5+ years of experience in experiential, environmental, or spatial design
  • 2+ years in a senior design role leading creative development
  • Demonstrated experience working on large-scale experiential projects ($1M+)
  • A strong portfolio showcasing work for luxury, premium, or high-end lifestyle brands
  • Advanced proficiency in Rhino and V-Ray (required)
  • Strong presentation and storytelling abilities, both visually and verbally
  • Experience leading projects and mentoring junior designers
  • A collaborative mindset with the ability to work cross-functionally in a fast-paced environment
  • Ability to manage multiple deadlines and evolving project needs
  • Strong proficiency with AI-powered creative tools to support ideation, concept development, moodboards, and visualisation workflows
  • Based in New York, with availability for occasional in-person meetings and site visits.


What You'll Do

  • Design immersive brand environments and experiential activations for luxury clients
  • Lead the creative process from concept development through execution
  • Produce floor plans, renderings, technical documentation, and design presentations
  • Present concepts to internal teams and clients with clarity and confidence
  • Collaborate closely with production, account, and strategy teams to ensure design feasibility and execution
  • Participate in site visits, installs, and walkthroughs to maintain design integrity
  • Maintain organised design files and documentation across projects
  • Stay informed on emerging trends in experiential design, luxury retail environments, and spatial storytelling.


What We Offer

  • Remote work model
  • Comprehensive health benefits including medical, dental, and vision
  • 401(k)
  • Professional development opportunities
  • A creative, collaborative culture where your voice and ideas matter
  • Opportunities to work with high-profile brands in fashion, spirits, and entertainment