採用
Required Skills
Python
Rust
PyTorch
Machine Learning
About the Role
Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and effectively at scale. If you are passionate about AI inference, Py Torch, and developing high-performance systems, we want to hear from you. This position offers the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions. Join us in shaping the future at Together AI!
Responsibilities
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Design and build the production systems that power the Together AI inference engine, enabling reliability and performance at scale.
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Develop and optimize runtime inference services for large-scale AI applications.
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Collaborate with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.
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Conduct design and code reviews to ensure high standards of quality.
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Create services, tools, and developer documentation to support the inference engine.
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Implement robust and fault-tolerant systems for data ingestion and processing.
Requirements
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3+ years of experience writing high-performance, well-tested, production-quality code.
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Proficiency with Python and Py Torch.
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Demonstrated experience in building high performance libraries and tooling.
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Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale.
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Preferred: Knowledge of existing AI inference systems such as TGI, vLLM, TensorRT-LLM, Optimum
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Preferred: Knowledge of AI inference techniques such as speculative decoding.
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Preferred: Knowledge of CUDA/Triton programming.
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Nice to have: Knowledge of Rust, Cython and compilers.
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. 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. Our team has been behind technological advancements 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 to build 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 - $230,000 + 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 opportunities 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
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About Together AI

Together AI
Series BData annotation company.
51-200
Employees
San Francisco
Headquarters
$1.25B
Valuation
Reviews
4.0
19 reviews
Work Life Balance
3.5
Compensation
4.5
Culture
4.0
Career
4.3
Management
3.5
79%
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Pros
Cutting-edge technology stack and interesting technical challenges
Competitive compensation packages with equity
Strong engineering culture with focus on code quality
Cons
Organizational changes and restructuring can be disruptive
Internal politics in some teams
Work-life balance can be challenging during product launches
Salary Ranges
0 data points
Mid/L4
Mid/L4 · Product Designer
0 reports
$156,800
total / year
Base
$156,800
Stock
-
Bonus
-
$133,280
$180,320
Interview Experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
System Design Round
6
Onsite/Virtual Interviews
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Infrastructure/SRE
MLOps/Machine Learning
News & Buzz
Together AI – Weekly Recap - TipRanks
Source: TipRanks
News
·
6w ago
Tech firms move toward significant office leases in S.F.’s Showplace Square - San Francisco Chronicle
Source: San Francisco Chronicle
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7w ago
Together AI Emphasizes Practical Framework for Selecting Open-Source Models in Production - TipRanks
Source: TipRanks
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·
7w ago
Baseten nabs $300M from IVP, CapitalG to challenge Together AI in inference - Tech Funding News
Source: Tech Funding News
News
·
8w ago


