11 openings · 7 companies · Updated November 12, 2026
Machine learning, deep learning, LLM and AI engineering roles.
11 jobs
Flow by ServiceNow is a standalone conversational AI service desk, with its own product and its own codebase. Employees ask for help wherever they already work — Slack, Microsoft Teams,…
Engineering · TypeScript · LLM · Automation · UX
Flow by ServiceNow is a standalone conversational AI service desk, with its own product and its own codebase. Employees ask for help wherever they already work — Slack, Microsoft Teams,…
Engineering · TypeScript · LLM · Automation · UX
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features.…
Personalization · Machine Learning · Support
1. Identify gaps in support operations and autonomously design, build, and deploy automation systems and AI-powered workflows that improve team productivity, customer satisfaction, and…
Customer Support · Security · Automation · Product · Support
We are hiring a Research Operations Lead to be the operational backbone of our team: the person who makes sure scientists can walk in every morning and get straight to science. You'll…
AI Research & Engineering · Finance · Operations · Procurement
The Music Mission team owns Spotify's end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable…
Music
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features.…
Personalization · Machine Learning
FEQ427R390 As a Specialist Solutions Architect (SSA) on the Healthcare & Life Sciences team, you will help Payers and Providers put generative AI to work at the center of their business.…
Go · SQL · Databricks · Machine Learning · LLM
The AI revolution is here, and enterprises are racing to adopt GenAI—but they cannot deploy what they cannot secure. Zscaler is seeking an experienced Principal AI Security Specialist to…
AI Security · Security · Product · Sales
Samsara is seeking a high-impact, strategic seller to lead the go-to-market execution for our newest frontier: AI Products. As a Core Enterprise Specialist (Overlay), you will partner…
Product Specialists · Go · LLM · Automation · Product
As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries.…
Applied AI · Product · Procurement
There are 11 open Data Scientist / ML Engineer jobs in Massachusetts right now, posted by 7 employers, including Spotify, ServiceNow, Anthropic and CodeRabbit. 4 of them were posted in the last seven days, and the newest on November 9, 2026.
Most openings ask for 3–5 years of experience; 64% are remote and 0% hybrid; where employers publish pay, ranges run from $140K to $335K a year (median starting pay $172K); the skills asked for most are LLM, Automation, Product, Machine Learning and Engineering.
Every listing comes from the employer's own careers page and is refreshed twice a day (last update November 12, 2026). Apply opens the employer's own application page; there is no sign-up and no fee.
11 Data Scientist / ML Engineer jobs are open in Massachusetts as of November 12, 2026, from 7 employers. The list is refreshed twice a day from the employers' own career pages, and closed openings are removed.
Spotify (3), ServiceNow (2), Anthropic (2), CodeRabbit (1), Databricks (1), Zscaler (1) and Samsara (1). Use the Company filter to see one employer's openings.
Among openings that publish pay (many US states require a pay range in the posting), yearly pay runs from $140K to $335K, with a median starting figure of $172K. Hourly rates are counted at 2,080 hours a year. These are the employers' published ranges, not guaranteed pay.
Not at the moment: the current openings ask for three years or more, or do not say.
7 openings are fully remote and 0 hybrid, as stated by the employer. Remote roles are open to people in the US unless the posting names specific states. Pick Remote or Hybrid under Work mode.
Most US employers ask that you are authorized to work in the United States; postings often say whether visa sponsorship is offered. Each job page shows who may apply when the posting says so; check the full posting before you apply.
Open a job and press Apply: it takes you to the employer's own careers page, where you apply directly. askjobs does not collect resumes, act as a recruiter or charge anything.
