Full-Time
Machine Learning Operations
Mlops, Engineer
Confirmed live in the last 24 hours
Together AI
51-200 employees
Decentralized cloud services for AI development
Compensation Overview
$160k - $240kAnnually
Senior
San Francisco, CA, USA
- 5+ years experience working on a production level ML training or inference system.
- Bachelor’s degree in computer science or equivalent industry experience.
- Strong understanding of the state of the art in machine learning especially LLMs.
- Experience with DevOps practices like CI/CD, automation, containerization (Docker), and orchestration (Kubernetes).
- Proficiency in cloud platforms like AWS, Google Cloud, or Azure.
- Expertise in programming (Python, go, etc.) and frameworks for ML (TensorFlow, PyTorch, Scikit-learn).
- Work closely with engineering, research, and sales on deploying, evaluating, and operating inference systems for both customers and internal use.
- Build and maintain tools, services, and documentation for automation and testing.
- Analyze and improve efficiency, scalability, and stability of various system resources.
- Conduct design and code reviews.
- Participate in an on-call rotation to respond to critical incidents as needed.
Together AI focuses on enhancing artificial intelligence through open-source contributions. The company offers decentralized cloud services that allow developers and researchers to train, fine-tune, and deploy generative AI models. Their platform supports a wide range of clients, from small startups to large enterprises and academic institutions, by providing cloud-based solutions that simplify the development and deployment of AI models. Unlike many competitors, Together AI emphasizes open and transparent AI systems, which fosters innovation and aims to achieve beneficial outcomes for society. The company's goal is to empower users with the tools they need to advance AI technology while maintaining a commitment to openness.
Company Size
51-200
Company Stage
Series B
Total Funding
$519M
Headquarters
Menlo Park, California
Founded
2022
Simplify's Take
What believers are saying
- Together AI secured $305M funding, boosting its AI Acceleration Cloud expansion.
- The deployment of NVIDIA Blackwell GPUs enhances AI model performance on Together AI's platform.
- Growing interest in open-source AI models aligns with Together AI's business strategy.
What critics are saying
- Snowflake's new AI hub may divert developers from Together AI's platform.
- Lambda's $480M funding for hyperscaler cloud services poses competitive threats to Together AI.
- Increased competition from venture funds like Perplexity's may impact Together AI's market share.
What makes Together AI unique
- Together AI focuses on open-source contributions, setting it apart in the AI industry.
- The company offers decentralized cloud services, enhancing flexibility for AI model deployment.
- Together AI's platform supports over 200 open-source AI models, attracting diverse developers.
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Benefits
Health Insurance
Company Equity
Growth & Insights and Company News
6 month growth
↓ -6%1 year growth
↓ -1%2 year growth
↓ -4%Together AI secured a $305 million Series B funding round, led by General Catalyst and Prosperity7, valuing the company at $3.3 billion. The investment will support the expansion of its AI Acceleration Cloud, including large-scale deployment of NVIDIA Blackwell GPUs. Together AI aims to enhance its platform for open source AI models, offering faster and more efficient solutions for AI developers and enterprises. The company has grown rapidly, now serving over 450,000 AI developers.
Data cloud company Snowflake says it is opening a new Silicon Valley “AI hub.”The new Menlo Park location, announced Thursday (Feb. 27), is designed to give developers, startups and business leaders a place to work on artificial intelligence (AI) efforts.“Our technology is already at the heart of customers’ data and AI strategies, and now, we are taking it a step further by creating a physical space for people shaping the future of AI to connect, learn, and work,” Snowflake CEO Sridhar Ramaswamy said in a news release.“Whether you’re a developer looking for hands-on experience, a startup founder looking for a place to collaborate, or an executive looking to explore the art of the possible, the Silicon Valley AI Hub will serve as the epicenter of AI development and collaboration.”Set to open this summer, the hub will feature spaces designed for people “across the AI ecosystem,” per the release. Executives can collaborate and create partnerships, AI engineers can experiment with new technology, and early-stage startups gain a homebase for their work.Meanwhile, the company, its startup accelerator and its venture capital partner are planning to invest up to $200 million in early stage startups, offering funding as well as technical assistance.Amazon Web Services (AWS), the company said, “has also committed to provide up to $1 million in free Snowflake credits on AWS over four years to support startups building and offering applications on Snowflake’s platform.”Snowflake’s announcement comes on the heels of a report earlier this week that Perplexity AI was creating a $50 million venture fund focused on U.S.-based pre-seed and seed AI startups.The company, itself an AI startup, will invest in the fund, but outside limited partners will provide most of the capital, CNBC reported, citing unnamed sources. Perplexity last year closed a $500 million funding round that tripled its valuation to $9 billion.AI startups have been raising significant amounts of funding lately, with three companies taking in — or preparing to take in — a combined $2.3 billion in the last week.Together.ai, which is building an AI cloud for AI applications using open source models, recently raised $305 million in a Series B round. Cloud AI startup Lambda announced last week that it has raised $480 million to build a hyperscaler cloud for AI developers and end users.And robotics company Figure, backed by OpenAI, Nvidia and Microsoft, is in reportedly talks to raise $1.5 billion in a Series C round.For all PYMNTS AI coverage, subscribe to the daily AI Newsletter
Perplexity AI is reportedly creating a $50 million venture fund focused on U.S.-based pre-seed and seed artificial intelligence (AI) startups. The company, which is an AI startup itself, will be an anchor investor in the fund, but outside limited partners will provide most of the capital, CNBC reported Tuesday (Feb. 25), citing unnamed sources. Reached by PYMNTS, Perplexity declined to comment on the report
What happens when three AI startups walk into a room? They walk out with a fortune. Startups in robotics and cloud artificial intelligence (AI) have collectively raised $2.3 billion, dominated by Figure, which makes humanoid robots for home and business. Figure, backed by OpenAI, Nvidia and Microsoft, reportedly is in talks to raise $1.5 billion in a Series C funding round. Last week, the robotics AI startup unveiled Helix AI, a vision, language and movement model that powers its humanoid robots. Its robots were shown putting away groceries despite not being specifically trained on these food items
Together AI, a U.S. AI cloud service provider, announced a $305 million Series B funding round, valuing the company at $3.3 billion. The investment, led by General Catalyst and Prosperity7 Ventures, will accelerate the development of AI applications based on open-source models like DeepSeek-R1. Together AI offers over 200 model API services and GPU rentals, with annual revenue exceeding $100 million. The company is expanding its infrastructure, deploying NVIDIA GPU clusters across North America.