Machine Learning Engineer Jobs at Startups

Metriport is revolutionizing US healthcare by solving the critical problem of medical data exchange. We transform unusable raw data from legacy systems into a clean, unified format that care teams and their agents can use to improve patient outcomes. Our technology enables rapid data retrieval, providing clinicians with complete patient histories instantly, which can lead to earlier diagnosis and treatment. We are a technology company building every layer of our platform, from data connection and transformation to generating insights, aiming to become the essential infrastructure for US healthcare. Having secured significant funding and achieved product-market fit with millions in ARR and over 100 customers, we are poised for substantial growth.

$200k - $260k

Knowtex is seeking an ML Engineer / Researcher focused on Large Language Models to contribute to the next generation of their AI stack. This role involves developing and optimizing models for clinical documentation and structured clinical reasoning, aiming to enhance quality, cost, latency, and control. The position is research-heavy with a direct path to production, requiring the design of experiments, building datasets and evaluation systems, and fine-tuning and post-training models. The successful candidate will collaborate closely with engineering and clinical teams to deploy solutions at scale and will play a key role in shaping Knowtex's long-term LLM strategy.

Salary not listed

Blissway

Blissway is a startup focused on simplifying toll collection and improving highway safety through deep tech, AI/ML, hardware, SaaS, and IoT. We have established a significant technological lead in the global tolling industry and operate with a lean, growing team. This role is for an engineer who is passionate about taking machine learning models from development to reliable production environments. You will be responsible for the infrastructure, deployment, and monitoring that ensures models are accurate and performant in real-world applications, processing millions of images daily.

$150k - $195k

Speechmatics is seeking a Senior Machine Learning Engineer to join their Research & Development team, focusing on cutting-edge speech technology. The company is a global leader in Voice AI, aiming to understand every voice through innovation and inclusivity. The Modelling Team trains diverse models, including large self-supervised ones, to enhance speech recognition accuracy and ensure their deployment into production using the latest ML developments and robust engineering practices.

Salary not listed

At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system, extracting 3D object and line features from dense LiDAR point clouds and imagery. This product-focused role involves working closely with customers to develop Computer Vision/Machine Learning pipelines and workflows that solve their problems. You will be responsible for shipping new features and product lines end-to-end, from data strategy and model training to evaluation. This position is ideal for early-career engineers who learn quickly, are curious, and find satisfaction in shipping impactful products.

$180k - $300k

Runpod

Runpod is seeking a Senior ML Systems Engineer focused on Inference to lead efforts in making LLM inference the fastest and most cost-efficient on their platform. This role involves owning LLM serving performance end-to-end, measuring, understanding, and improving it across various models, hardware, and workloads. The work directly impacts customer latency and cost, requiring a hands-on approach to identify and fix bottlenecks, and ensure reliable production deployment. The ideal candidate will be passionate about AI infrastructure and contribute to building the platform for the next generation of AI developers.

$150k - $220k

Gray Swan AI is seeking a Machine Learning Engineer to play a pivotal role in shaping the future of AI safety solutions. This role blends applied research with system building, focusing on developing new approaches to adversarial testing, model evaluation, and robust inference. You will work at the boundary between research and production, translating novel ideas into scalable AI systems that withstand adversarial pressure. Your expertise in deep learning architectures, distributed systems, and parallel computing will be crucial for tackling complex challenges associated with resource-intensive models and advancing methodologies for controlling, monitoring, and analyzing these models in production environments.

$160k - $257k

Latent is seeking a Machine Learning Engineer, Research, to lead the design and development of innovative modeling approaches that push the boundaries of clinical intelligence. This role involves driving research from initial problem definition to validated outcomes, influencing how models learn from longitudinal patient data. We are looking for senior and staff-level engineers adept at managing critical research challenges from inception to completion, with a focus on problems that directly impact patient well-being.

$225k - $300k

Latent is seeking a Machine Learning Engineer to join their team and build systems that run in real clinical workflows. This role involves owning the design, development, and operation of production-grade ML systems from ambiguous problem definition through to reliable production deployment. The ideal candidate will drive systems end-to-end, setting technical direction and taking ownership of critical systems that directly impact real patient outcomes. This is an opportunity to work on mission-critical problems at the intersection of AI and healthcare within a fast-growing, early-stage company backed by top-tier investors.

$225k - $300k

Mirage is seeking an ML Engineer to build and scale the systems powering their video generation models. This role sits at the intersection of research and systems engineering, focusing on making advanced models faster, more efficient, and capable of ultra-low latency, real-time generation. You will work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production.

$175k - $300k

PostEra

PostEra is seeking a Machine Learning Researcher to spearhead the development of an agentic research vertical. This role involves leveraging agentic systems to automate the creation of mechanistic models for biochemical and physiological processes, and to analyze biological data for target validation. You will collaborate closely with chemists and biologists to guide drug discovery decisions using these models. A key focus will be on developing machine learning methods capable of rapid adaptation to new drug discovery challenges with limited labeled data, particularly in molecular and tabular in-context learning and building foundation models from proprietary multimodal data. You will be responsible for the entire research loop, from defining tasks and constructing datasets to training and scaling models, performing rigorous ablations, and translating successful methods into practical capabilities for PostEra's scientists. While prior drug discovery experience is not mandatory, a strong motivation to learn the domain and collaborate with interdisciplinary scientists is essential.

Salary not listed

Chai Discovery

Chai Discovery is building the computer-aided design suite for molecules, with major pharmaceutical companies already using their platform to accelerate drug discovery. They are at the forefront of reinventing life sciences through AI, developing frontier models that understand biochemical structure and interaction. This role is an opportunity to push the boundaries of AI drug design alongside a skilled and dedicated team.

Salary not listed

Typeface

We help the world's biggest brands move from brief to fully personalized campaigns in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing.

$188k - $200k

Tenstorrent is at the forefront of AI technology, aiming to revolutionize performance, usability, and cost-efficiency. As AI reshapes computing, our solutions must integrate software models, compilers, platforms, networking, and semiconductors. We have developed a high-performance RISC-V CPU and are seeking passionate individuals to build the ultimate AI platform. Our Tensix Team is architecting the future of AI compute with scalable RISC-V processors, focusing on reimagining RISC-V core frontends for enhanced programmability, efficiency, and developer experience. This is a unique opportunity to influence the CPU architecture at the core of our AI platform and lead a critical technical initiative.

Salary not listed

Tenstorrent is seeking a Physical Design Methodology Engineer to develop, deploy, and own the RTL-to-GDSII methodology for their AI hardware IP team. This role is crucial for ensuring that new blocks, nodes, or customer variants can start from a working flow, rather than a cold start. The ideal candidate will be automation-minded, focused on removing manual steps and making PPA exploration repeatable, and will leverage AI, including LLMs and ML-driven optimization, in their flow development. This is a hybrid role based in Toronto, Austin, or Belgrade, and the company welcomes candidates at various experience levels.

$100k - $500k

Tenstorrent is a leader in AI technology, developing next-generation AI compute solutions. The Kernel Development and Optimization team is crucial in unlocking the full potential of their hardware for ML and HPC workloads by creating performance-critical kernels. This role involves designing, implementing, and optimizing GPU-style kernels, contributing to host-side orchestration, and ensuring kernel correctness and performance through rigorous testing and collaboration with various engineering teams. You will gain deep insights into AI hardware, learn to optimize kernels outside traditional CUDA ecosystems, and explore AI-assisted workflows for kernel development.

Salary not listed

Tenstorrent is seeking a C++ Machine Learning Engineer to join their AI Models team. In this role, you will work on the training framework for advanced AI models, focusing on writing high-performance C++ code, implementing new layers and operators, and scaling models across custom silicon. This is an opportunity to build the core components of ML systems and optimize their performance. The company values collaboration, curiosity, and a passion for solving complex AI challenges.

Salary not listed

Join Tenstorrent’s AI Models team and work at the layer most ML engineers never see: bringing advanced models to life on custom AI hardware. You’ll own real workloads end‑to‑end including porting, tuning, and validating LLMs and vision models on our accelerator, and chasing down every last millisecond and percentage point of accuracy. This role is for people who love the craft of ML engineering and want their work to matter at silicon scale, not just behind another API. This role is hybrid, based in Cyprus. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Salary not listed

Together AI

As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. You will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems, and contribute to the co-design of efficient GPU architectures and programming models. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. This internship is based on-site at our San Francisco HQ, running through the Winter term from January to April.

Salary not listed

Together AI

As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. You will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems, and contribute to the co-design of efficient GPU architectures and programming models. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.

$121k - $146k

Together AI

The Model Shaping team at Together AI focuses on tailoring open foundation models for downstream applications, building services that help machine learning developers select and improve models with domain-specific data. We also develop novel methods for efficient model training and evaluation, drawing from machine learning, natural language processing, and ML systems. As a Research Engineer on the Scaling Team, you will translate cutting-edge research in efficient foundation model training into robust, high-performance systems. You will optimize Together's training infrastructure, identify performance bottlenecks, and implement state-of-the-art techniques in production environments. Your work will directly influence the fine-tuning experience for Together's customers. You will integrate newly released open-source models onto the platform, ensuring efficient and reliable training across diverse workloads. Collaborating with Research Scientists, you will build experimental infrastructure to accelerate research and deploy validated ideas at scale.

$200k - $290k

Together AI

The Model Shaping team at Together AI focuses on products and research for tailoring open foundation models to downstream applications. We build services that enable machine learning developers to select optimal models for their tasks and enhance them with domain-specific data. Additionally, we develop novel methods for efficient model training and evaluation, drawing from diverse ideas in machine learning, natural language processing, and ML systems. As a Platform Engineer in this team, you will operate at the intersection of backend engineering and infrastructure, developing the core layers of Together’s platform for model customization and evaluation. Your role will involve designing, developing, and maintaining the backend services and underlying systems necessary for sustainably and reliably scaling production workflows for users and internal research experiments. You will collaborate cross-functionally with other engineers and researchers to enhance infrastructure based on project needs and integrate services with other engineering teams at Together.

$200k - $290k

Together AI

Together AI is building the best inference infrastructure for voice applications, powering production-grade, real-time voice agents and applications with best-in-class latency and reliability for speech-to-text and text-to-speech models. 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, profiling GPU utilization, designing batching strategies for streaming audio, and ensuring rapid deployment of new model architectures from research to production. This is a foundational hire on a small, high-impact team, addressing the unique challenges of voice inference such as streaming audio, tokenization, and real-time latency budgets, and shaping the future of voice model serving.

$220k - $280k

Together AI

Together AI is building the best inference infrastructure for voice applications, powering real-time voice agents and applications with best-in-class latency and reliability for speech-to-text and text-to-speech models. We are seeking a Senior ML Engineer to lead the model serving layer for voice workloads. You will optimize inference engines like TRT-LLM and SGLang to serve models such as Whisper, Parakeet, Orpheus, and Kokoro, focusing on pushing latency and throughput boundaries. This role involves profiling GPU utilization, designing batching strategies for streaming audio, and accelerating the transition of new model architectures from research to production. As a foundational hire on a small, high-impact team, you will address the unique challenges of voice inference, including streaming audio, real-time latency, and tokenization, shaping how Together serves voice models as the industry moves towards end-to-end speech-to-speech systems.

$200k - $260k