Python Jobs

Scale AI

Scale is seeking an entrepreneurial and experienced Product Manager to join its Global Public Sector team. This role focuses on developing and deploying transformative AI solutions for governments and government-backed entities outside the United States. You will leverage Scale's GenAI Platform to build cutting-edge AI applications powered by customer data, working closely with clients to understand their needs and deliver bespoke solutions. This is an opportunity to own large AI projects, lead cross-functional teams, and drive significant business impact.

Scale AI

Scale is seeking an entrepreneurial and experienced Product Manager to join its Global Public Sector team. This role focuses on developing and deploying transformative AI solutions for governments and government-backed entities outside the United States. You will leverage Scale's GenAI Platform to build cutting-edge AI applications powered by customer data, working closely with clients to understand their needs and deliver bespoke solutions. This is an opportunity to own large AI projects, lead cross-functional teams, and drive significant business impact.

Harvey

Harvey is seeking its first Support Operations Data Analyst to own the analytics function for the User Operations organization. This role is crucial for transforming how support data is managed, analyzed, and utilized to improve critical metrics. You will be responsible for building and maintaining dashboards, reports, and feedback loops that track key performance indicators such as cSAT, TTR, QA scores, and escalation rates. The ideal candidate will be adept at translating complex data into clear narratives, identifying data gaps, and ensuring the organization is equipped with the necessary instrumentation as it scales. This is a solo role requiring independence, confidence in metric framing, and the ability to operate at a fast pace.

$112k - $168k

Harvey

Harvey is seeking its first Support Operations Data Analyst to own the analytics function for the User Operations organization. This role is crucial for transforming how support data is managed, analyzed, and utilized to improve critical metrics. You will be responsible for building and maintaining dashboards, reports, and feedback loops that track key performance indicators such as cSAT, TTR, QA scores, and escalation rates. The ideal candidate will be adept at translating complex data into clear narratives, identifying data gaps, and ensuring the organization is equipped with the necessary instrumentation as it scales. This is a solo role requiring independence, confidence in metric framing, and the ability to operate at a fast pace.

$112k - $168k

Harvey

Harvey is seeking its first Support Operations Data Analyst to own the analytics function for the User Operations organization. This role is crucial for transforming how support data is managed, analyzed, and utilized to improve critical metrics. You will be responsible for building and maintaining dashboards, reports, and feedback loops that track key performance indicators such as cSAT, TTR, QA scores, and escalation rates. The ideal candidate will be adept at translating complex data into clear narratives, identifying data gaps, and ensuring the organization is equipped with the necessary instrumentation as it scales. This is a solo role requiring independence, confidence in metric framing, and the ability to operate at a fast pace.

$112k - $168k

Together AI

Together.ai is building state-of-the-art infrastructure for efficient and scalable inference of large language models (LLMs). The company's mission is to optimize inference frameworks, algorithms, and infrastructure to push the boundaries of performance, scalability, and cost-efficiency. They are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines for multimodal and language models at scale. This role will focus on low-latency, high-throughput inference, GPU/accelerator optimizations, and software-hardware co-design, ensuring efficient large-scale deployment of LLMs and vision models. This position offers a unique opportunity to shape the future of LLM inference infrastructure and ensure scalable, high-performance AI deployment across diverse applications.

$160k - $230k

Together AI

Together AI is building the best inference infrastructure for voice applications, powering production-grade, real-time voice agents and applications. We are seeking a Staff ML Engineer to lead the model serving layer for voice workloads. This role involves hands-on optimization of inference engines and models like Whisper, Parakeet, Orpheus, and Kokoro, focusing on pushing latency and throughput boundaries. You will address unique challenges in voice inference, such as streaming audio and real-time latency, and shape the future of how voice models are served as the industry shifts towards end-to-end speech-to-speech systems. This is a foundational hire on a small, high-impact team.

$220k - $280k

Together AI

Together AI is seeking a Staff Engineer to design and deliver multi-petabyte storage systems optimized for large-scale AI training and inference workloads. You will architect high-performance parallel filesystems and object stores, integrate cutting-edge technologies, and drive significant cost optimization. The role involves building Kubernetes-native storage operators and self-service platforms for automated provisioning and multi-tenancy. You will focus on optimizing data paths, designing multi-tier caching architectures, and tuning parallel filesystems for AI applications. This is a research-driven role within a company focused on lowering the cost of modern AI systems through co-design of software, hardware, algorithms, and models.

$250k - $300k

Together AI

Together AI is building the best inference infrastructure for voice applications, powering production-grade, real-time voice agents and applications. We are seeking a Senior ML Engineer to lead the model serving layer for voice workloads. This role involves hands-on optimization of inference engines and models like Whisper, Parakeet, Orpheus, and Kokoro to achieve frontier-level latency and throughput. You will focus on unique voice inference challenges such as streaming audio, tokenization, and real-time latency budgets, shaping how voice models are served as the industry shifts towards end-to-end speech-to-speech systems. This is a foundational hire on a small, high-impact team.

$200k - $260k

Together AI

Together AI is building the Inference Platform that powers the world's most advanced generative AI models. This role will serve as a critical bridge between cutting-edge research and real-world applications, focusing on translating internal model training research into production-ready deployments for customers. The work involves a deep commitment to data-centric development, meticulous hyperparameter tuning, and rigorous checkpoint evaluation. You will transform general-purpose models into highly performant, specialized tools by fine-tuning them on customer-specific data and internal datasets, working with dedicated GPU clusters rather than training foundation models from scratch.

$190k - $270k

Together AI

This research engineering role focuses on translating new Reinforcement Learning (RL) algorithms, scheduling methods, and inference optimizations into production-grade systems that power Together's API. The Core ML team operates at the intersection of efficient inference (algorithms, architectures, engines) and post-training/RL systems, building and maintaining high-performance inference and RL engines at production scale. The goal is to significantly improve model speed, cost-efficiency, and capabilities through RL-based post-training. This position requires a blend of algorithmic understanding and systems engineering, with opportunities to work across the entire stack from RL algorithms and training engines to kernels and serving systems, ultimately driving measurable improvements in latency, throughput, cost, and model quality at scale.

$200k - $280k

Together AI

Together AI is a research-driven artificial intelligence company focused on lowering the cost of modern AI systems. This role is part of a team dedicated to enabling custom models and dedicated inference on Together's platform. The team is responsible for building a container platform, optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer experience with great tooling. The work often involves video or audio generation across the stack, including CUDA kernels, PyTorch optimization, inference engines, container orchestration, and queueing theory.

$160k - $250k

Together AI

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 and ensuring they run efficiently and effectively at scale. You will collaborate closely with AI researchers and engineers to create cutting-edge AI solutions and shape the future of AI inference.

$160k - $230k

Together AI

Together AI is seeking an ML Engineer to develop systems and APIs for customer inference and fine-tuning of LLMs. The ideal candidate will have experience implementing runtime systems for large-scale AI/ML model inference, including the largest LLMs. This role involves designing and building production systems for reliability and performance at scale, partnering with cross-functional teams, and improving system efficiency and stability.

$160k - $220k

Together AI

As an AI Infrastructure Engineer at Together, you will be responsible for ensuring the smooth operation of all user-facing services and production systems. This role blends pragmatic operations with software engineering, applying sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You will specialize in systems (operating systems, storage subsystems, networking), implementing best practices for availability, reliability, and scalability, with varied interests in algorithms and distributed systems. Together AI is a research-driven artificial intelligence company focused on lowering the cost of modern AI systems through co-designing software, hardware, algorithms, and models, and we invite you to join our passionate group of researchers and engineers in building the next generation of AI infrastructure.

$190k - $270k

Together AI

As a Customer Support Engineer at a pioneering AI company, you will be the first line of defense supporting customers building training, fine-tuning, and inference solutions. You will dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. Collaborating closely with product and sales, you will drive continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.

Together AI

As a Customer Support Engineer at a pioneering AI company, you will be the primary point of contact for customers building training, fine-tuning, and inference solutions with Together AI. You will tackle complex technical challenges, provide effective solutions, and act as a product expert. Collaborating with product and sales teams, you will contribute to the continuous improvement of our offerings. This role is ideal for a technically proficient individual passionate about AI and customer success, seeking to make a significant impact in a fast-paced, innovative environment.

$160k - $230k

Together AI

You will join the Data Platform team, responsible for building the backend services and data products that power how data moves through the company. This involves creating core platform primitives like high-quality event streams, reliable access layers, and developer-friendly APIs and tools. The goal is to enable teams across the organization to self-serve their data needs and ship faster. You will contribute to backend services that derive value from company data and enhance the self-serve capabilities of the data platform, allowing product and engineering teams to easily create and operate event-driven architectures, publish/consume streams, define access models, and manage data products end-to-end. Additionally, you will work on LLM-adjacent services, including prompt categorization, enrichment, and metadata systems, transforming raw telemetry into trusted, usable products with guidance from experienced engineers.

$120k - $170k

Together AI

The Turbo team operates at the intersection of efficient inference (algorithms, architectures, engines) and post-training/RL systems. We are responsible for building and managing the systems that power Together's API, focusing on high-performance inference and RL/post-training engines capable of operating at production scale. Our core mission is to advance the frontiers of efficient inference and RL-driven training, aiming to make models significantly faster and more cost-effective to run, while simultaneously enhancing their capabilities through RL-based post-training methods. This role involves working across the entire stack, from RL algorithms and training engines to kernels and serving systems, to develop and refine state-of-the-art models using RL pipelines. We value individuals with deep expertise in one area and a strong willingness to collaborate and grow across others.

$200k - $280k

Together AI

The Agents team investigates how to build, align, and scale frontier AI systems capable of complex, multi-step tasks and workflows across text and speech, with a focus on agentic and scientific domains. This role sits at the intersection of agent capabilities, human-computer interaction, and infrastructure, exploring areas like post-training methods for agentic behavior and developing evaluation frameworks for open-ended tasks. As a research intern, you will tackle challenges in alignment, reliability, and scalability, potentially working on new training recipes for self-learning and long-horizon reasoning, curating datasets, studying failure modes, or building scalable agent infrastructure.