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Gradient Jobs in Boston, MA (NOW HIRING)

Gradient AI

Enterprise Sales Director - Health

Boston, MA · On-site +1

$400K - $450K/yr

Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims.

Gradient AI

Senior Sales Executive

Boston, MA · Remote

$300K - $350K/yr

Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims.

ChatGPT Jobs

Enterprise Sales Director - Health

Boston, MA · On-site +1

$400K - $450K/yr

Overview Company Overview Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate ...

NorthEastern

Postdoctoral Research Associate

Boston, MA

$60K - $85K/yr

The particle dynamics under solute concentration gradient will be analyzed and new methods of manipulating particles in complex geometries will be developed. Application relevant materials will be ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and ...

Jobs for Humanity

Speakers/Writers

Cambridge, MA

$15 - $60/hr

We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins. About ...

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All JobsGradient JobsGradient Jobs in Boston, MA

Gradient information

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How much do gradient jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for gradient in Boston, MA is $28.20, according to ZipRecruiter salary data. Most workers in this role earn between $16.21 and $32.94 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.
What are popular job titles related to Gradient jobs in Boston, MA? For Gradient jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Gradient jobs in Boston, MA look for? The top searched job categories for Gradient jobs in Boston, MA are:
Gradient jobs near you
Infographic showing various Gradient job openings in Boston, MA as of July 2026, with employment types broken down into 52% Full Time, 45% Part Time, and 3% Contract. Highlights an 48% Physical, and 52% Remote job distribution, with an average salary of $58,654 per year, or $28.2 per hour.
Senior People Operations Generalist

Senior People Operations Generalist

Gradient AI

Boston, MA • Hybrid

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

This is a 1-2 days per week in office hybrid position based out of our Boston Office

Gradient AI:

Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team.

About the Role:

We are looking for a Senior People Operations Generalist to join Gradient AI's People team. You will own the day to day operations that keep our people function running, from onboarding and compliance to engagement and reporting. This is a hands on role that requires someone who is organized, proactive, and comfortable working across a fast moving organization.Paragraph form

How you will make an impact:

HR Operations & Compliance
  • Own onboarding and offboarding end to end, including HRIS administration, I9s, system changes, and exit interviews
  • Ensure compliance across all states including EEOC reporting, anti-harassment training, and leave of absence management
  • Support payroll administration in partnership with Finance
  • Manage employee data changes including location updates, role changes, and visa inquiries
  • Serve as the primary contact for benefits administration and partner with employees and vendors to resolve open items
People Programs & Engagement
  • Manage engagement and pulse surveys including setup, tracking, and reporting
  • Facilitate employee resource group meetings and recognition programs
  • Support performance review cycles and new hire and manager meetings including content development and running trainings
Reporting & Systems
  • Maintain accurate and up to date HR systems and materials
  • Report out monthly and quarterly HR and recruiting metrics
Recruiting
  • Support recruiting for open roles during busy periods
  • Support employer branding initiatives

Skills needed to succeed:

  • 5+ years of HR or People Operations experience, ideally at a startup or high growth company
  • Multi-state compliance experience is required, including knowledge of benefits administration, payroll, and managing leave of absences
  • Strong experience managing employee engagement programs, including new hire and manager trainings
  • Demonstrated ability to track, analyze, and report on HR metrics to identify trends, inform leadership decisions, and drive a data focused people strategy
  • Experience with recruiting and managing a HRIS system implementation is a plus
  • Highly organized with a collaborative, people-first approach

What We Offer:

  • A fun, team-oriented startup culture.
  • Generous stock options - we all get to own a piece of what we're building.
  • Unlimited vacation days.
  • Flexible schedule that supports working from home.
  • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
  • Ample opportunities to learn and take on new responsibilities.

We are an equal opportunity employer.

Salary Range: $110,000-125,000 base salary annually.
This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.