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Vultr
New York, NY, United States
Join Vultr The Engineering team is a central pillar of our growth strategy, and we are looking for a Principal Engineer, GPU Infrastructure to help build and support our GPU-based product offerings.You and your team will have ownership over the setup and provisioning of our GPU-based systems and help drive engineering and operational excellence ar
Job Source: VultrDeep Abacus
united states
Overview Funded startup transforming the healthcare landscape. Seamlessly connect AI and healthcare professionals. Seeking a Lead ML Infrastructure Engineer to drive development of core ML training, inference, and evaluation platforms. What you will do Lead the development of ML infrastructure for proprietary LLM. Ensure reliability, performance
Job Source: Deep AbacusLightning AI
New York, NY, United States
Who we are Lightning AI is the company reimagining the way AI is built. After creating and releasing PyTorch Lightning in 2019, Lightning AI was launched to reshape the development of artificial intelligence products for commercial and academic use. Focusing on simplicity, sustainability, modularity, and extensibility, Lightning AI streamlines the
Job Source: Lightning AICookUnity
New York
Job Description Job Description CookUnity is a chef-to-you marketplace connecting talented chefs with consumers, revolutionizing meal delivery. We bring small-batch, restaurant-quality meals to eaters nationwide, crafted by a diverse collective of all-star chefs. With over 100 inspired chefs from cities like NYC, LA, Austin, and more, our weekly
Job Source: CookUnityCookUnity
New York, NY, United States
CookUnity is a chef-to-you marketplace connecting talented chefs with consumers, revolutionizing meal delivery. We bring small-batch, restaurant-quality meals to eaters nationwide, crafted by a diverse collective of all-star chefs. With over 100 inspired chefs from cities like NYC, LA, Austin, and more, our weekly subscription offers a wide range o
Job Source: CookUnityAnthropic
New York, NY, United States
As a ML Engineer on our Solutions Architect team, you will drive the adoption of frontier AI by developing bespoke and finetuned LLM solutions for top enterprises. You’ll leverage your customer-facing engineering experience and technical skills to architect innovative solutions that address our customers' business needs, meet their technical requir
Job Source: AnthropicTechnoGen Inc
New York
Job Description Job Description Candidates must me local to the New York or New Jersey area and commute into the city three times a week in Midtown, NYC. ** PLEASE Only send me candidates in the NY/NJ area. **We need A senior (8+ years) AI/ML engineer with experience as a hands-on data scientist or AI/ML engineer in AI/ML/DS fields. Candidates m
Job Source: TechnoGen IncPrime
New York
Job Description Job Description About Prime Prime Financial Technologies is a software company with a mission to accelerate small businesses. At Prime, we harness advanced data science in credit decisioning to simplify and accelerate credit distribution to small and medium-sized businesses. Operating at the cutting edge of Embedded Finance and Ec
Job Source: PrimeNew York, NY, United States
About VantAI:
VantAI pairs bleeding-edge machine learning techniques with deep systems biology expertise to build computational models that uncover hidden relationships between molecules, targets, and diseases. These models power a best-in-class solution that identifies and generates new molecular entities for targets of interest, repurposes existing molecules at any stage of development, uncovers accurate ADME and toxicological insights, and predicts adverse events likely to influence trial success from deep analysis of systems-based pharmacogenomics. VantAI's in silico platform specializes in modeling complex protein-protein interactions, powering the discovery of biologics and protein degraders in addition to small-molecule drugs. It has helped leading biopharma partners launch new development programs--or revitalize old ones--at a fraction of the time and cost of traditional methods.
About You:
We are looking for talented engineers with an insatiable hunger for solving bleeding-edge scientific problems spanning biology, chemistry, physics, data science and computational science domains to join our core application team.
Successful candidates will develop large-scale scientific workflows, provide support to our scientists on existing workflows and proactively identify areas for increasing automation to reduce inefficiencies. Projects may include developing cheminformatics tools and algorithms; large-scale virtual screening and protein-protein docking; creating scalable on-demand ML inference infrastructure; developing scalable chemical databases; automation of modeling, analysis, and visualization of simulations; and a range of similar tasks integral to achieving our mission of becoming the leading AI-enabled drug discovery in the field of induced proximity.
Our tech stack spans several languages and frameworks, including but not limited to: Python, Go, Rust, React, running in Docker/Kubernetes on GCP. Relevant areas of expertise might include workflow engineering, tool integration, high performance cloud computing, systems engineering, and machine learning, but specific knowledge of any of these areas is less critical than versatility and a willingness to learn and work anywhere in the tech stack. We value individuals who want to make an impact, have a deep intellectual curiosity, enjoy solving challenging problems and have a track record of achievement.
Outcomes for this Role:
Shaping our product by spearheading new features and services
Developing software tools to automate or improve processes ranging from data ingestion pipelines to bespoke cheminformatics workflows
Contributing to the culture of a rapidly growing company
Being challenged by your colleagues and learning something new every day
Specific Skills and Qualifications:
Experience working in complex codebases and cloud-native architectures
Container orchestration and Kubernetes cluster development
Demonstrated experience creating and managing infrastructure for ML model registry, training, inference and deployment infrastructure
Strong familiarity with best practices and current state of the art for ML infrastructure
Experience supporting large-scale model architectures with complex environment requirements
Data architecture and engineering
Demonstrated experience with parallel computing and distributed model architectures
Ability to break apart existing code; solve ad hoc problems with little help
Willingness to work with existing codebases
No task too big or small; strong sense of independence and ownership
Provide guidance and opinions on implementation/considerations, while having a willingness to compromise
Developing/supporting ML models in the cheminformatics, bioinformatics, large language, and/or diffusion model domains (desired)
Experience working on drug discovery projects (desired)
Salary: $120,000 - $190,000
This band is a reflection of the job description as written. Looking for a higher salary? Apply anyway! We are happy to speak to more experienced candidates who may require a higher salary and discuss that experience in our first touchpoint.
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ML Infrastructure Engineer jobs in New York, NY, United States
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