
Data annotation company.
Machine Learning Engineer
必須スキル
Python
Go
Rust
About the Role
Together AI is looking for an ML Engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs. Relevant experience includes implementing runtime systems that perform inference at scale using AI/ML models from simple models up to the largest LLMs.
Requirements
-
5+ years experience writing high-performance, well-tested, production quality code
-
Bachelor’s degree in computer science or equivalent industry experience
-
Familiar with LLM inference ecosystem, including frameworks and engines (e.g. vLLM, SGLang, TRT, ...)
-
Demonstrated experience in building large scale, fault tolerant, distributed systems like storage, search, and computation
-
Expert level programmer in one or more of Python, Go, Rust, or C/C++
-
Experience implementing runtime inference services at scale or similar
Responsibilities
-
Design and build the production systems that power the Together Cloud inference and fine-tuning APIs, enabling reliability and performance at scale
-
Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world
-
Analyze and improve efficiency, scalability, and stability of various system resources
-
Conduct design and code reviews
-
Create services, tools & developer documentation
-
Create testing frameworks for robustness and fault-tolerance
-
Participate in an on-call rotation to respond to critical incidents as needed
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as Flash Attention, Hyena, Flex Gen, and Red Pajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $220,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
閲覧数
0
応募クリック
0
Mock Apply
0
スクラップ
0
類似の求人

Scientist II, Rider Personalization
Uber · San Francisco, CA; Seattle, WA; Sunnyvale, CA

Data Scientist - Machine Learning, Pricing & Rider Engagement
Lyft · San Francisco, CA

Machine Learning Engineer, Fraud
Whatnot · San Francisco, CA

Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI
Scale AI · San Francisco, CA; New York, NY

Data Scientist, Financial Engineering
OpenAI · San Francisco
Together AIについて

Together AI
Series BData annotation company.
51-200
従業員数
San Francisco
本社所在地
$1.25B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
3.5
報酬
2.5
企業文化
4.2
キャリア
2.8
経営陣
3.0
65%
知人への推奨率
良い点
Great team spirit and collaboration
Good work-life balance and flexible hours
Supportive work environment
改善点
Below industry standard compensation
High workload and overwhelming workpace
Limited career advancement opportunities
給与レンジ
0件のデータ
Mid/L4
Senior
Mid/L4 · Product Designer
0件のレポート
$156,800
年収総額
基本給
$156,800
ストック
-
ボーナス
-
$133,280
$180,320
面接レビュー
レビュー3件
難易度
3.0
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Rounds
5
System Design Interview
6
Final Interview
よくある質問
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
Infrastructure/SRE
最新情報
IBM Working Together with Google Cloud to Accelerate Enterprise AI and Hybrid Cloud Modernization - IBM Newsroom
IBM Newsroom
News
·
1w ago
Together AI Features Deployment of Kimi K2.6 Multimodal Agentic Model - TipRanks
TipRanks
News
·
1w ago
SpaceX says it can buy Cursor later this year for $60 billion or pay $10 billion for 'our work together' - CNBC
CNBC
News
·
2w ago
Together AI leases 150K sf for new HQ in SF’s Showplace Square - The Real Deal
The Real Deal
News
·
2w ago