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Mit Phd Jobs (NOW HIRING)

Haize Labs

Software Engineer Intern

New York, NY

$100K - $125K/yr

Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering manager who led their GenAI observability team, a Citadel quant with a huge open-source presence, and ...

Haize Labs

Software Engineer Intern

New York, NY · On-site

$100K - $125K/yr

Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering manager who led their GenAI observability team, a Citadel quant with a huge open-source presence, and ...

Haize Labs

Software Engineer Intern

Manhattan, NY

$100K - $125K/yr

Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering manager who led their GenAI observability team, a Citadel quant with a huge open-source presence, and ...

MIT Lincoln Laboratory

Radar Scientist

Lexington, MA · On-site

In lieu of an PhD, a MS and 3 years of experience will be considered Recent Graduate Hiring Range: $145,200-$170,000 Experienced Hiring Range: $145,200-$220,000 Disclaimer: MIT Lincoln Laboratory ...

MIT Lincoln Laboratory

Radar Scientist

Lexington, MA · On-site

In lieu of an PhD, a MS and 3 years of experience will be considered Recent Graduate Hiring Range: $145,200-$170,000 Experienced Hiring Range: $145,200-$220,000 Disclaimer: MIT Lincoln Laboratory ...

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Mit Phd information

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How much do mit phd jobs pay per year?

As of Jun 19, 2026, the average yearly pay for mit phd in the United States is $78,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $103,500.00 per year, depending on experience, location, and employer.

Are MIT PhDs fully funded?

MIT PhD programs are typically fully funded, often including tuition waivers, stipends, and health insurance, to support students during their research and coursework. Funding packages usually cover the duration of the program, contingent on maintaining satisfactory progress and academic performance.

Is a PhD from MIT prestigious?

A PhD from MIT is widely regarded as highly prestigious due to the university's reputation for academic excellence, research contributions, and rigorous selection process. Graduates often benefit from strong industry connections and recognition in their field, which can enhance career opportunities across various professions, including research, academia, and industry roles. However, the value also depends on the specific field and individual achievements during the program.

What are some common challenges faced by MIT PhD students during their research journey?

MIT PhD students often encounter challenges such as balancing coursework with demanding research projects, navigating the high expectations for innovation, and managing their time effectively. Collaboration with advisors and research teams is critical, but it can also involve learning to communicate complex ideas and receive constructive feedback. Additionally, students may face periods of uncertainty or setbacks in their research, so resilience and strong support networks are key to overcoming obstacles and making steady progress.

How hard is it to get into an MIT PhD?

Getting into an MIT PhD program is highly competitive, requiring a strong academic record, research experience, and excellent letters of recommendation. Applicants typically have a master's degree or equivalent research background, and admission rates are often below 10%. Success depends on demonstrating potential for original research and fitting the program's specific requirements.

What are MIT PhD programs?

MIT PhD programs are rigorous, research-focused doctoral programs offered by the Massachusetts Institute of Technology in a wide range of disciplines, including engineering, sciences, social sciences, and more. These programs aim to develop scholars capable of conducting original research that advances knowledge in their fields. Admission is highly competitive, and students work closely with faculty advisors while fulfilling coursework, exams, and dissertation requirements. Graduates often pursue careers in academia, industry, research, or entrepreneurship.

What is the difference between Mit Phd vs Data Scientist?

AspectMit PhdData Scientist
Required CredentialsPhD in relevant field, advanced research skillsBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsCorporate, tech companies, consulting firms
Industry UsageAcademic research, specialized R&D rolesData analysis, predictive modeling, business insights

While a Mit Phd focuses on advanced research and academic or R&D roles, a Data Scientist applies data analysis skills in industry settings. Both roles require strong analytical skills, but the Mit Phd emphasizes research expertise, whereas Data Scientists focus on practical data applications in business.

What are the key skills and qualifications needed to thrive as an MIT PhD graduate, and why are they important?

To thrive as an MIT PhD graduate, you need advanced expertise in your field, strong research skills, and a completed doctoral degree in your area of study. Familiarity with specialized research tools, programming languages, data analysis software, and laboratory equipment is typically required, along with peer-reviewed publications. Exceptional critical thinking, perseverance, and clear communication help distinguish top candidates in both academic and industry roles. These skills and qualifications are crucial for driving innovation, conducting rigorous research, and contributing meaningfully to your discipline.

How much do MIT PhDs get paid?

MIT PhDs, particularly those in research or academic roles, typically earn salaries ranging from $70,000 to over $150,000 annually, depending on the field, experience, and position. Postdoctoral researchers and faculty members often have different salary scales, with industry roles generally offering higher compensation for PhDs with specialized skills.
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Mit Phd jobs near you
Infographic showing various Mit Phd job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $78,242 per year, or $37.6 per hour.

Software Engineer Intern

Haize Labs

New York, NY

$100K - $125K/yr

Other

Posted 9 days ago

Job description

Haize Labs gets LLM apps out of POCs and into production. We eliminate the risk and improve the reliability of LLM apps by haizing them -- i.e. rigorously, proactively, and continuously fuzz-testing them.

We are looking for Software Engineering Interns to help develop our reliability platform, with a focus on:

  1. Data-efficient alignment of evaluation models
  2. Dynamic testing of AI applications
  3. Observability and anomaly detection 
  4. Discrete optimization (with applications in architecture search and automated prompting)

Our work is both intellectually stimulating and practically useful. Your work will result in net-new primitives, frameworks, and algorithms for developing robust LLM applications. You work will directly influence how LLM apps are tested, verified, and deployed everywhere. 

Annual Salary

$100,000 - $125,000 USD

Responsibilities
  • Work directly with customers to adapt our core R&D for different domains.
  • Build out core infra, cloud tooling, and UX around our algorithms.
  • Ship delightful tools that are used by AI application developers all across the world. 
Qualifications
  • High-agency, customer-centric full-stack experience, e.g. ex-founder or ex-founding engineer.
  • Strong open source presence or strong track record of software engineering projects and employment.
  • Experience with ML in an applied setting.
  • Can ramp up quickly to understand our research.
Logistics
  • Location policy: In NYC.
  • US visa sponsorship: If you are exceptional, we will sponsor.
  • Compensation and Benefits: We provide generous salary, equity, and benefits
We're Not Here to Play Games.

We're not here to write GPT wrappers or get rich quick off the AI bubble. We're here to solve the hardest problem in AI: making it safe, reliable, and production-ready. 

Since our company's inception in 2024, we've amassed amazing customers like OpenAI, Anthropic, AI21, and several others. We've developed best-in-class tooling for evaluation, dynamic testing, red-teaming, observability, and continuous robustification. And we're backed + advised by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit and C-suite execs from Google, Stripe, Databricks, Robinhood, and more.

Our core team is exceptionally fit for this mission. We turned down Stanford PhDs, got into & rejected Y Combinator, wrote ML-guided matchmaking for 50,000+ students, built an educational nonprofit supporting 60 countries, and did some other cool things along the way. Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering manager who led their GenAI observability team, a Citadel quant with a huge open-source presence, and more.

We can only serve our mission with an incredibly high talent-density team. Come here to push yourself, learn fast, experience excellence, grow with each other, and pursue your life's work.

Apply