Machine Learning Engineer Jobs at Startups

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 have the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions and shape the future of AI inference.

$200k - $300k

Perplexity AI

Perplexity is looking for an experienced Machine Learning Research Engineer to contribute to the development of next-generation advanced search technologies, with a particular emphasis on retrieval and ranking. This role involves architecting and building core components of the search platform and model stack, and deploying models from boosting algorithms to LLMs in a scalable and performant manner. The engineer will also be responsible for building and optimizing RAG pipelines for grounding and answer generation, and collaborating with cross-functional teams to ensure high-quality delivery.

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Handshake is seeking a Member of Technical Staff, Post-Training to help define and build a new organization focused on advancing the AI economy by organizing expert human knowledge. This role involves working directly with frontier labs on data, evaluation, and post-training challenges, building systems that transform expert knowledge into data and evaluations to improve frontier models. You will partner with researchers, domain experts, and customers to translate ambiguous post-training questions into experiments, evaluation frameworks, data pipelines, and products. As an early member, you will have significant influence over the technical direction, operating culture, and reusable systems built.

$200k - $350k

Netomi is seeking a highly analytical and detail-oriented Data Engineer II to join the Analytics team. This role involves working closely with data science, product, engineering, and customer success teams to drive complex data and trend analyses, propose improvements, and contribute to enhancing customer experience. The engineer will be responsible for benchmarking and measuring the performance of product operations projects, building scorecards and reports, and identifying new opportunities based on customer and business data. The ideal candidate has a passion for using data to discover and solve real-world problems, enjoys working with rich datasets and modern business intelligence technology, and can see their insights drive product features. This role also offers the opportunity to contribute to the development of policies, processes, and tools to address product quality challenges.

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Netomi is seeking a highly analytical and detail-oriented candidate to join the Analytics team. As part of the team, you will work with data science, product, engineering, and customer success teams to drive complex data and trend analyses to propose ways to improve and thereby contribute to improving the experience. You will also be responsible for benchmarking and measuring the performance of various product operations projects, building and publishing detailed scorecards and reports, identifying and driving new opportunities based on customer and business data. We are looking for an Engineer with a passion for using data to discover and solve real-world problems. You will enjoy working with rich data sets, modern business intelligence technology, and the ability to see your insights drive the features for our customers. You will also have the opportunity to contribute to the development of policies, processes, and tools to address product quality challenges in collaboration with teams.

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Gecko Robotics is seeking an AI/ML Engineering Intern to join their Engineering team for Summer 2027. This is a full-time, onsite internship where you will work on a defined project that turns inspection data into decisions, building models and the systems around them that run reliably on real customer data. This role focuses on building the systems that analyze data, rather than just the analysis itself. Candidates must be authorized to work in the United States due to government program requirements.

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Cursor

SpaceXAI is building Super Intelligence to help humanity understand the universe, from supercomputers to Grok models and their suite of applications. The RL Environments team is seeking a Software Engineer to build systems that transform real-world data into high-quality environments and tasks for reinforcement learning. This role involves creating more realistic training environments and owning the platforms and quality layers for trustworthy data production at scale. You will collaborate closely with ML Platform and research teams to convert various data sources into training-ready environments, making high-quality RL data more accessible for model training efforts.

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We are seeking a Data Engineer to construct the ingestion and search systems that power our AI products. Our data sources are diverse, including global patent literature, case law, technical standards, scientific databases, academic papers, and web content, spanning structured records, documents, images, audio, and video. You will be responsible for both bulk ingestion and on-demand retrieval, ensuring this information is searchable and integrated into our products. You will own systems from initial source acquisition through to serving queries, working closely with AI researchers and product engineers with significant autonomy in system design and implementation.

Salary not listed

Code Metal

Code Metal is seeking a Staff Python Engineer to join their Modeling & Simulation team. This role will focus on building the Python services, pipelines, and tooling that drive a next-generation wargaming and decision-support platform. You will design backend services and APIs, integrate with simulators, manage data, and expose results to analysts and government stakeholders. The position involves developing backend infrastructure that interfaces with AI and machine learning pipelines, designing scenario-generation and analysis workflows, and building distributed, cloud-scale infrastructure to support simulations across various environments while ensuring reproducibility and model provenance. Strong command of cloud services and distributed architectures is essential.

$200k - $250k

We are seeking a Staff Engineer to build and maintain the production systems that power our AI-enabled product capabilities. This role bridges ML systems, platform engineering, and site reliability engineering, focusing on moving machine-learning models and agentic workflows from prototypes to secure, observable, and continuously deployable production systems. You will partner with various teams to create a streamlined path from experimentation to production and ensure the ongoing performance and evolution of these systems.

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Prodigal is seeking a passionate and driven Data Engineer to join their team in Bengaluru. This role is instrumental in building scalable data pipelines, generating powerful insights, and supporting AI/ML initiatives. The ideal candidate will enjoy working across data engineering and analytics to help shape the future of Agentic AI. Prodigal is a connected AI platform used by financial institutions to run their operations, analyzing billions of interactions to power AI agents that guide human agents, conduct customer conversations, and orchestrate outreach. They are backed by prominent investors and work with over 100 financial institutions.

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This role involves collaborating with researchers to conduct research operations using existing infrastructure. You will apply standard techniques to a variety of technical problems, using your judgment in complex scenarios. The position requires managing numerous concurrent experiments, accurately estimating timelines, and reviewing experimental results to suggest improvements. You will also write technical reports detailing both qualitative and quantitative findings for external parties. The ideal candidate possesses a practical optimism, proficiency in Python, and the ability to communicate complex technical concepts effectively to diverse audiences.

$150k - $250k

Parallel Wireless is seeking experienced wireless algorithm experts to research and design advanced cellular communication algorithms for 5G and beyond products. This role will leverage neural networks and machine learning techniques to reimagine mobile networks with innovative, energy-efficient Open RAN solutions. The ideal candidate will contribute to the future of telecommunications by driving innovation through green and sustainable networks.

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Nunchux AI is building infrastructure to make multimodal generative AI faster, cheaper, and easier to build on. Founded by MIT PhDs and CMU Professor, the company leverages deep research expertise and production systems experience. The Role focuses on bringing new image and video models to the Modelverse platform, prioritizing speed to launch. You will own the initial integration, coordinate deployment with the cloud team, and work with product engineers on API and Modelverse integration. After launch, you will hand off optimization tasks and maintain the shared code for model integration and serving.

$170k - $240k

Nunchux AI is building infrastructure to make multimodal generative AI faster, cheaper, and easier to build upon. We are seeking a Machine Learning Engineer focused on post-training and evaluation to enhance the efficiency and quality of visual generative models. In this role, you will develop and validate post-training techniques, curate and manage data pipelines for training and evaluation, and build robust evaluation systems to measure model performance. You will also benchmark models against industry standards, ensure quality, and integrate cutting-edge research into production workflows.

$180k - $250k

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 tolling industry, a market projected to double in the next decade. Our lean team operates across the entire system, from roadside cameras to final billing, ensuring every vehicle processed results in an accurate toll transaction. We are seeking an engineer who is passionate about shipping models into production and owning the full lifecycle from raw sensor data to deployment monitoring, cloud to edge. This role is ideal for someone who thrives on taking models from a notebook to real-world application.

$145k - $195k

We are seeking an ML Data & Platform Engineer to manage the infrastructure supporting our speech AI models. This includes the pipelines for data sourcing and preparation, as well as the platform for training, evaluating, and serving models in production. This broad, cross-functional role is ideal for someone who thrives on end-to-end problem ownership across data infrastructure, distributed systems, and production ML, aiming to accelerate the delivery of better models.

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Moveworks is seeking a Machine Learning Engineer to develop cutting-edge ML infrastructure for building and serving LLMs. This role is pivotal in constructing, optimizing, and scaling end-to-end machine learning systems, encompassing distributed training and inference pipelines for large language models, model evaluation and monitoring frameworks, and LLM latency optimization. The frameworks developed will serve as a robust foundation for hundreds of ML and NLP models in production, impacting millions of enterprise employees. You will address challenges in service scalability and core algorithm optimization, working closely with machine learning, data infrastructure, and core skill teams. Your contributions will significantly influence customer AI experiences and the long-term scalability of our core AI product.

Salary not listed

Perplexity AI

This internship program offers a full-time, in-person opportunity in Berlin for 12 to 24 weeks. Interns will focus on advancing search quality through innovative models, data, and tools. The role involves training and optimizing large-scale deep learning models, with a particular emphasis on retrieval and ranking models. Additionally, interns will conduct research in representation learning, covering areas like contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval. A key aspect of the role includes building and optimizing RAG pipelines for enhanced grounding and answer generation.

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Prodigal is seeking a Machine Learning Engineer to join their Data Science and Machine Learning (DSML) team. This role involves owning the full lifecycle of ML systems, from data curation and model selection to fine-tuning, deployment, evaluation, and monitoring. You will work closely with product, engineering, and customer-facing teams to translate real-world problems into well-scoped ML challenges, curate necessary datasets, and train a variety of models including neural networks, transformers, and LLMs. The position requires taking models from development to production, optimizing for performance and scalability, and designing evaluation frameworks to ensure meaningful results.

Salary not listed