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Gradient Jobs in Boston, MA (NOW HIRING)

Gradient AI

Senior Health Data Consultant

Boston, MA · On-site +1

$120K - $160K/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

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 - P&C

Boston, MA · On-site +1

$275K - $315K/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

Staff Data Scientist

Boston, MA · On-site +1

$160K - $195K/yr

Gradient AI: Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an advantage in how they make decisions by revealing risk others miss and translating it ...

New

Gradient AI

Principal Data Scientist

Boston, MA · On-site +1

$190K/yr

Gradient AI: Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an advantage in how they make decisions by revealing risk others miss and translating it ...

New

Gradient AI

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

Gradient AI: Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an advantage in how they make decisions by revealing risk others miss and translating it ...

New

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 ...

Varsity Tutors

Adobe Illustrator Tutor

Boston, MA · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

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Gradient information

See Boston, MA salary details

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$28

$66

How much do gradient jobs pay per hour?

As of Aug 6, 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.

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 is a gradient?

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.
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 August 2026, with employment types broken down into 48% Full Time, 47% Part Time, and 5% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $58,654 per year, or $28.2 per hour.

Senior Health Data Consultant

Gradient AI

Boston, MA • On-site, Remote

$120K - $160K/yr

Full-time

Posted 20 days ago

Job description

This is a remote role.

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're looking for a Senior Health Data Consultant to partner closely with our clients and internally to drive adoption and value of Gradient AI's services within our Group Health products. This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption, renewal analytics, and risk interpretation—helping clients translate model outputs into clear underwriting and pricing decisions. This role blends technical depth (math, analytics, coding) with consultative client engagement. It is ideal for someone who is highly quantitative, comfortable working directly with AI-driven model outputs, and excited to guide clients through data-driven pricing and underwriting decisions.

How you will make an impact:
  • Engage directly with clients to provide advanced analytical support.
  • Lead pricing consultations for Group Health SAIL and Renewal products, helping clients interpret risk scores and model outputs.
  • Partner with internally with Client Services, Sales, Product, and Data Science to support our clients across new sales and renewals.
  • Analyze data using internal tools to evaluate pricing risk and provide recommendations.
  • Dive deep into AI-generated outputs to explain what model outputs and risk indicators mean in practical underwriting and pricing strategies.
  • Write and execute SQL and Python queries to analyze large datasets and evaluate submission performance.
  • Build and refine advanced Excel models to stress-test pricing assumptions and validate model results.
  • Clearly communicate complex mathematical and AI concepts to non-technical client stakeholders.
  • Help quantify ROI and performance improvements tied to our AI products
Skills needed to succeed:
  • 5+ years of experience in a healthcare analytics, population health, healthcare economics, or claims analysis role, with an actuarial perspective.
  • Strong quantitative background in Statistics, Mathematics, Economics, Analytics, or a related field.
  • Proficiency in Python and SQL required; advanced Excel skills required.
  • Ability to interpret complex statistical outputs and clearly communicate insights to non-technical stakeholders.
  • Analytical support for health insurance populations (e.g., renewal pricing, retention, trend management, or book-of-business optimization)
  • Comfortable engaging directly with clients in a consultative capacity and presenting analytical findings.
  • Proven experience building or refining pricing models, running data submissions, and validating model-driven results.
  • ASA certification is a plus.
  • Exposure to modern data platforms such as Databricks is a plus.
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: $120,000-160,000 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.