Machine Learning Engineer Jobs

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

As a Slack Proactive Monitoring (ProM) Engineer, you will operate at the intersection of platform engineering, site reliability, and strategic customer success. You are a highly technical, customer-centric specialist dedicated to safeguarding the health and performance of Slack’s largest and most complex global enterprise deployments. Rather than waiting for customers to report problems, you will continuously monitor Slack workspace metrics, performance thresholds, API integrations, enterprise security events, and custom app behavior. You will proactively detect anomalies, triage system exceptions, and orchestrate rapid mitigation steps—frequently initiating preemptive customer outreach before their internal users even experience a slowdown.

$75k - $114k

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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Cargo

As a Senior Machine Learning Engineer on the Embedded Insights team, you will play a crucial role in shaping Plaid's future by developing innovative machine learning-powered products and features. Initially, you will focus on supporting the Plaid App, contributing to a new consumer-facing product from its inception and helping to establish its product-market fit. This role involves close collaboration with product managers, data scientists, engineers, and customers to transform ambiguous opportunities into effective ML systems that deliver measurable customer value. You will also contribute to the broader Embedded Insights team by analyzing unique datasets to identify high-impact ML opportunities, productionizing models, and optimizing the performance of existing ML systems.

$229k - $315k

Mercor is a leading AI data company building the layer between human expertise and frontier models. Millions of domain experts are paid daily to train frontier AI models, and Mercor Enterprise brings this infrastructure to Fortune 500 companies to capture and translate their best people's expertise directly into agents. This role is a foundational hire on a new Data Platform team, responsible for the infrastructure that every data-driven team at Mercor runs on, including Snowflake, Fivetran, Airflow, and Hex. You will own how data is organized, access controls, operational costs, and reliability, setting standards for other engineers.

$160k - $500k

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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HackerRank is seeking a Lead Data Engineer to join their data organization. This role is a senior individual contributor position focused on evolving the company's data platform, which has recently undergone a significant modernization. The primary goal is to build an AI-native data layer that will power new revenue-generating features, including natural language querying for customers. This is a greenfield opportunity to shape the future of data at HackerRank, collaborating with AI, product, and go-to-market teams to deliver data-driven features.

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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

Anthropic

The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML-based safety systems. This role involves collaborating closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production, owning the research-to-production transfer of new safety technologies critical for every Claude model launch. The team builds for scale, serving thousands of ML classifiers for all requests on the token generation path and for every platform Claude runs on. Engineers will work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing platforms and tools that enable safeguards to operate reliably at scale, with tooling and infrastructure used for every model launch.

$320k - $485k

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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Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We are building the layer between human expertise and frontier models, enabling millions of domain experts to train AI models. Our mission involves creating a new category of work where expertise drives AI advancement, requiring an ambitious and committed team working at the forefront of AI systems. The Frontier Data Products team is responsible for transforming complex multimodal inputs (images, video, audio, documents) into reliable, customer-ready data products at scale. This role is a player-coach position, balancing technical contributions with people leadership, including writing production code, owning architectural decisions, and resolving complex production issues. It also involves hiring, coaching, and organizing a team to operate with clear ownership and independent judgment, focusing on product quality, reliability, and usefulness.

$300k - $420k

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.

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This role focuses on designing and developing data-driven and machine-learned approaches for vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods. You will develop learned models of vehicle behavior and dynamics, integrate them into closed-loop simulation, and apply machine learning to improve controller adaptation across vehicles and operating conditions. You will own problems end-to-end, from conceptualization and offline experimentation through simulation and on-vehicle validation, and build necessary data pipelines, evaluation metrics, and tooling to measure performance against classical baselines. This is an opportunity to be part of a multidisciplinary team using an AI-first approach to enable safe self-driving at scale and define how learning and classical control coexist in a safety-critical stack.

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We are seeking a Computer Vision Algorithm Engineer focused on ADAS perception to transform camera video feeds into a clear understanding of the vehicle's surroundings. This role spans concept through serial production, involving algorithm design, simulation, data analysis, and the development and optimization of classical and deep learning models for real-time execution on production ECUs. Key tasks include object detection, segmentation, and tracking, all while meeting stringent accuracy, latency, memory, and power targets. A strong foundation in image processing, machine learning, and mathematics is essential, with familiarity in vehicle dynamics being a plus.

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Latitude AI, a subsidiary of Ford Motor Company, is developing the future of autonomous driving technology with its in-house ADAS platform, set to debut in 2027. The Intelligent Systems team focuses on converting sensor data into understanding through computer vision and machine learning, managing both onboard vehicle sensors and offboard cloud infrastructure. This role is within the Scalable ML team, which is crucial for improving the efficiency of model training and enabling ML developers to work effectively with large datasets to achieve optimal performance and advance transportation safety.

$179k - $269k

Anthropic

Anthropic's Safeguards organization is responsible for developing the policies, evaluations, and enforcement systems that prevent AI models from causing catastrophic harm. We are seeking a manager to lead our biological safety research engineering team. This team focuses on creating the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will guide a team of research scientists and engineers in designing and executing capability evaluations on frontier models, curating safety classifier training data, and training/iterating on these classifiers. Your role involves setting technical direction, making investment decisions, and owning team outcomes, while maintaining technical depth to review designs and analyze failure modes. The team's core challenge is balancing robust safeguards against sophisticated actors with enabling legitimate researchers in the life sciences.

$405k - $485k

Fireworks is seeking an Applied Machine Learning Engineer for the EMEA region. In this role, you will be the technical owner of customer engagements, embedding within client teams to understand their specific needs and challenges. You will be responsible for the entire lifecycle of a customer's deployment on the Fireworks platform, from initial scoping and model selection to ensuring production readiness, performance, and cost-efficiency. This position emphasizes first principles thinking and requires a deep understanding of software engineering, machine learning techniques, and infrastructure optimization.

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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.

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Hugging Face is seeking a Senior Machine Learning Engineer to lead a significant portion of their open voice-agent stack. This role focuses on two key areas: the open-source library 'speech-to-speech' for real-time voice agents, and 'hf-voice,' a new product enabling developers to build and deploy voice agents. You will take architectural ownership, integrate new models, manage community contributions, design developer APIs, build the serving infrastructure for real-time inference, and guide the product from demo to production. The position also involves creating documentation, supporting existing deployments, and potentially sharing work publicly through blog posts or conference talks.

Salary not listed