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Gradient Jobs (NOW HIRING)

Gradient Experience

Video Intern

Manhattan, NY · On-site

Manage Gradient's asset management system. * Maintain studio and control room equipment. * Assist staff with various Studio tasks. * Fill various positions on shoots. * Manage all equipment on the ...

Gradient Labs

GTM Engineer

New York, NY · On-site

At Gradient Labs, we're building the AI customer operations platform for financial services. Founded in 2023, we now work with some of the biggest names in banking and fintech. Our platform runs ...

Gradient Financial Group

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Tax Accountant - CPA

Arden Hills, MN · On-site

$75K - $149K/yr

Vision insurance Why You'll Love Working Here At Gradient, we set high expectations, but we back them with support, collaboration, and opportunities to grow. If you're positive, driven, and enjoy ...

New

Sapsol Technologies Inc

Program Engineer

Nashville, TN · On-site

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 Jul 14, 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.

Is Gradient a good company to work for?

Gradient is a company that offers roles in data science and machine learning, often requiring skills in programming and analytics. Employee reviews indicate varying experiences, with some citing a collaborative environment and others noting workload concerns. Prospective employees should research company culture and review current employee feedback for a comprehensive understanding.

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.

Why are Gen Z struggling to find jobs?

Gen Z job seekers often face challenges such as limited work experience, high competition, and employers' preference for candidates with specific skills or certifications. Additionally, economic factors and shifts toward remote work can impact their access to opportunities and entry-level positions.

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 jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions in large corporations can earn over $1 million annually through salaries, bonuses, and stock options. Additionally, successful entrepreneurs, top-tier investment bankers, hedge fund managers, and certain professional athletes or entertainers may reach this income level, often requiring extensive experience, specialized skills, and significant responsibility.

What jobs pay 4000 a week without a degree?

High-paying jobs that can pay around $4,000 a week without a degree include roles such as commercial truck drivers, real estate brokers, and certain skilled trades like electricians or plumbers. These positions often require specialized training, certifications, or experience but do not necessarily require a college degree.

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
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Gradient jobs near you
Infographic showing various Gradient job openings in the United States as of July 2026, with employment types broken down into 49% Full Time, 48% Part Time, and 3% Contract. Highlights an 47% Physical, and 53% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Video Intern

Gradient Experience

Manhattan, NY • On-site

Other

Posted 23 days ago

Job description

The Company

NYC based Experiential Marketing Agency is seeking the perfect fit for our team. We are a boutique, creatively led, high-end experiential marketing agency with clients in the spirits, fashion, film and luxury industries. We are in high-growth mode ready to add to our team of 50+. The ideal candidate is one who thrives in a fast-paced, multitasking environment that values productivity and efficiency balanced with utmost quality, who flawlessly executes design projects, and who has impeccable, evolving taste.


The Opportunity

We are seeking a Live Video Intern to join our rapidly expanding Livestream team. This is a growth position that offers the opportunity to gain hands-on experience in live video environments.
Responsibilities

  • Manage Gradient's asset management system.
  • Maintain studio and control room equipment.
  • Assist staff with various Studio tasks.
  • Fill various positions on shoots.
  • Manage all equipment on the set of production
  • Assist with internal team process documentation
  • Assist producers with various tasks.


Requirements

  • Strong written and verbal communication skills
  • Impeccable attention to detail
  • Flexible schedule with the ability to work mornings, nights, weekends
  • Familiarity with TV and film equipment, such as Canon cinema cameras, Panasonic cinema cameras, various broadcast TV equipment, etc.
  • Strong visual sense
  • Team player who is excited about working in an inclusive environment
  • Located in the NYC area and willing to travel


This is a great opportunity for someone who considers themselves a jack-of-all-trades and has a passion for live experiences. If you are hard-working, responsible, and eager to learn, we want to hear from you.


Compensation Paid Internship

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