Together AI Internship 2027–2028: Programs, Pay & How to Apply

Last updated: July 2026

Together AI is valued at $8.3 billion after its Series C and hit $1 billion in annualized revenue in under four years. The company's Chief Scientist, Tri Dao, invented FlashAttention, now used by OpenAI, Anthropic, Meta, and Mistral for faster model training. Together AI expanded from roughly 3 intern roles in 2025 to 10+ across engineering, research, marketing, and operations in the 2026 cycle, and Summer 2027 postings are expected to appear October through December 2026. At a ~350-person company, the intern class is small, competition is intense, and positions close once filled.

Quick Facts

The two numbers that matter: engineering interns earn $58–63/hr and positions close once filled, so early applications to the Greenhouse portal are essential. Research intern roles require publications; engineering roles are the more accessible entry point.

Externships are short, remote professional experience programs where you finish a real project with a real company. The Wayfair AI Agent Engineering for Business Intelligence Externship builds Python-based ML engineering and AI agent development skills that map directly to Together AI's SWE and research intern job descriptions. Explore all Externships.

What Is a Together AI Internship?

A Together AI internship is a paid, 12-week placement at one of the fastest-growing AI infrastructure companies in the world. Interns work on-site at the San Francisco HQ alongside the team behind FlashAttention and RedPajama, contributing to real products across the Together Inference platform, GPU cloud infrastructure, open-source model development, and go-to-market operations. The program spans four functional areas: engineering (SWE, security), research (model shaping, inference optimization, frontier agents, RL and post-training), marketing (product-led growth), and operations (revenue systems, CRM). Together AI serves 200+ open-source models to 450,000+ developers, so interns ship work that reaches production at scale. Engineering interns earn $58–63/hr with a housing stipend, meals, and transit benefits.

When Do Together AI Internship Applications Open for 2027–2028?

Together AI is a startup, so the recruiting calendar is less rigid than big tech's. Summer 2026 intern postings appeared on the Greenhouse job board in late 2025 and early 2026, with positions closing once filled by mid-2026. Fall 2026 postings went live by mid-2026 with at least one fixed deadline (September 10 for Frontier Agents). For Summer 2027, expect postings to appear October through December 2026, roughly 5 to 8 months before the May or June start. There's no published recruiting calendar, so checking the Greenhouse board regularly is the only reliable strategy.

Why You Must Apply the Week Applications Open

Together AI says nothing about rolling admissions, but the pattern is clear: positions close once filled, and at a ~350-person company the intern class is small. The Fall 2026 Frontier Agents Intern had a stated deadline of September 10, but Summer 2026 roles simply closed sometime before July with no public notice. So the "deadline" is whenever the team finds their hire. If you apply in week one, you compete against the smallest possible pool. If you apply in month two, you may be competing against a closed posting.

Which Together AI Internship Programs Should You Target?

Together AI offered 10+ distinct intern roles across four functional areas in the 2026 cycle. The split matters: engineering roles require a Bachelor's and strong Python, while research roles scale up to requiring a Ph.D. with publications at top ML conferences.

Check all open roles on the Greenhouse board. The program expanded significantly from 2025 to 2026, adding fall research internships and business roles. Expect further expansion for 2027.

What Are the Eligibility Requirements?

Together AI has a tiered eligibility structure that varies sharply by role:

• Engineering (SWE, Security): Bachelor's degree earned or expected by Summer 2027 in Computer Science or a related field. No prior ML experience or publications required. Strong programming fundamentals in Python and Git are the baseline.

• Research (Summer, Model Shaping/Inference): Bachelor's (final year), Master's, or Ph.D. in CS, Engineering, or related field. ML/DL knowledge and PyTorch or JAX proficiency required. Publications preferred but not required for summer roles.

• Research (Fall, Frontier Agents/RL): Master's or Ph.D. required. Publications at leading ML, NLP, or speech conferences (NeurIPS, ICML, ICLR) required. This is the most selective track.

• Business (Marketing, RevOps): Relevant degree required: MBA or technical degree for marketing, Business or Information Systems for operations. Technical interest valued but deep CS knowledge not mandatory.

How Research-Heavy Is the Bar?

It depends entirely on the track. Engineering intern roles at Together AI are accessible to strong undergrads with solid Python and systems experience, no publications needed, and no stated GPA minimum. These are the most open entry point. Summer research roles sit in the middle: a final-year undergrad with PyTorch experience and an interest in Transformers can compete, but you're up against Master's and Ph.D. candidates. Fall research roles are the most selective: Frontier Agents and RL & Post-Training both require Master's or Ph.D. enrollment with published work at top-tier conferences, on par with frontier lab research internships at Anthropic or DeepMind. The honest advice: if you don't have publications, target the SWE or Security tracks and show what you've built.

What Skills Does Together AI Look For, and How Do You Build Them?

Across the 10 intern role postings from Together AI's 2026 cycle, two patterns emerge. First, Python is universal: every technical role requires it, and even marketing and operations roles benefit from scripting ability. Second, the research roles stack deep ML prerequisites (PyTorch/JAX, Transformer architectures, CUDA) on top of the engineering baseline, while business roles emphasize communication and CRM tooling. What does this tell you? Together AI hires engineers who can code production-quality Python, then evaluates whether you also bring ML depth. Start with the code.

How Is Demand for AI Engineering Interns Moving Right Now?

Build These Skills Before You Apply

And the skills Together AI's JDs prioritize map to remote Externships where you finish a real AI project before the posting window opens.

How close is the overlap? The Wayfair Externship delivers a working AI agent built in Python, which is the same deliverable Together AI's SWE intern JD describes: "design and develop high-quality software" and "contribute to influential open-source projects." A finished AI project answers "show me what you've built" with an artifact, not an anecdote.

What Is the Together AI Application and Interview Process Like?

Together AI's interview process is technical and ML-focused, rated 8 out of 10 difficulty by techinterview.org, comparable to Nvidia's core GPU teams:

1. Apply via Greenhouse with a resume. For research roles, include relevant publications, code samples, or links to open-source contributions. No cover letter requirement is published.

2. Recruiter screen. A phone or video call confirming the role, your background, and team interest. Together AI is a startup, so this step moves quickly.

3. Technical interview(s). For research interns: a PyTorch-based coding screen focused on ML-systems problems (attention mechanisms, inference optimization), not traditional LeetCode. For engineering interns: coding interviews on distributed systems, cloud infrastructure, or full-stack development. Problems are ML-systems applied.

4. Offer decision. The timeline is approximately 3 weeks for full-time roles and likely shorter for interns. Some candidates report post-interview delays with limited status updates.

This isn't a LeetCode shop. Together AI's problems are ML-systems applied: think implementing attention primitives, optimizing inference pipelines, or designing batching strategies. Study FlashAttention, PagedAttention, vLLM, and speculative decoding before your screen. For engineering roles, practice systems problems in Python with a focus on distributed computing.

What Students on Reddit Say

Three threads from r/csMajors show what the process looks like from the inside. Together AI is still building its employer brand, so reports are sparse compared to FAANG.

How Do You Stand Out at a 350-Person AI Startup?

Three moves. First, know the company's work, not just the company. Together AI's team built FlashAttention, RedPajama, and Mixture of Agents. Citing these in your application or interview shows you've engaged with the research, not just the brand. Second, show shipped code. Together AI's SWE JD says "contribute to influential open-source projects" and the culture is deeply open-source-oriented. A GitHub profile with real ML projects, or an Externship where you built a working AI system, carries more weight than coursework alone. Third, apply early and to the right track. If you're an undergrad without publications, target the Software Engineer or Security Engineer roles, not the research tracks that require a Ph.D. and published work. Matching your qualifications to the right role is itself a signal of judgment.

What Other Companies Should You Consider?

Together AI's peer set splits by what draws you: open-source AI infrastructure, frontier research, or high-paying AI startup internships.

Our AI internships guide maps the full landscape of AI and tech internship opportunities across the sector.

FAQ

What does Together AI do?

Together AI is an AI infrastructure company that builds a full-stack platform for developing, fine-tuning, and deploying open-source AI models. They provide serverless inference endpoints for 200+ models, GPU cloud clusters with 10,000+ GPUs, and fine-tuning tools. Their Chief Scientist, Tri Dao, invented FlashAttention, now used by virtually every major AI lab. The company is valued at $8.3 billion as of July 2026.

How much do Together AI interns get paid?

Engineering and research interns earn $58 to $63 per hour, roughly $27,840 to $30,240 for a 12-week program. Product Marketing interns earn $43 per hour, and Revenue Operations and Revenue Systems interns earn $35 per hour. All interns receive housing stipends for relocating, plus meals, parking, and transit benefits.

When do Together AI internship applications open for summer 2027?

Expected October through December 2026, based on the 2026-cycle pattern where summer postings appeared in late 2025 and early 2026. Together AI doesn't publish a fixed recruiting calendar, so check the Greenhouse board regularly starting October 2026. Positions close once filled.

Does Together AI offer internships for undergrads?

Yes, for specific tracks. Software Engineer and Security Engineer intern roles require a Bachelor's degree earned or expected by Summer 2027, with no publication requirement. Summer research roles accept final-year undergrads with ML experience. However, Fall research roles (Frontier Agents, RL and Post-Training) require Master's or Ph.D. enrollment with publications at top conferences.

What is the Together AI intern interview process like?

For research interns, expect a PyTorch-based coding screen focused on ML-systems problems rather than traditional LeetCode. For engineering interns, expect coding interviews on distributed systems and full-stack development. The overall difficulty is rated 8 out of 10, comparable to Nvidia core GPU teams. Problems emphasize practical ML engineering: attention mechanisms, inference optimization, and batching strategies.

Is the Together AI internship remote?

No. All documented Together AI internships are on-site at the San Francisco HQ. Fall research internships require 4-day weekly office attendance. The company provides housing stipends for interns who need to relocate within 10 miles of the office, plus parking and transit stipends.

What programming languages should I know for a Together AI internship?

Python is essential for all technical roles. PyTorch or JAX is required for research roles. CUDA experience is preferred for inference-focused positions. For engineering roles, experience with distributed systems, cloud platforms, and Git is valued. For operations roles, familiarity with Salesforce, APIs, and automation tools like Zapier or Make is relevant.

How competitive are Together AI internships?

Very. Together AI is a ~350-person company with limited intern spots compared to big tech. Research roles requiring publications at NeurIPS, ICML, or ICLR are the most competitive, given the caliber of researchers on the team. Engineering roles are more accessible for strong undergrad candidates with Python and systems experience but no publications. The company's prestige in the ML research community attracts top candidates from programs worldwide.

Positions close once filled at a company this size, and the posting window is short. Spend the months before it opens building proof: a remote Externship turns "interested in AI" into a finished project with shipped code that an October application can point at.