Machine Learning Engineer
frontcareers
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's list of Top Companies in 2023, #4 on Fortune’s Best Workplaces in the Bay Area™, Inc. Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List. AI is transforming customer support and, with over 12 years of experience building customer operations solutions, Front is in a unique position to shape this transformation. The Core AI team at Front leverages AI to build functionality across the entire breadth of the product. Our workflow automations, agent assistance and operational insights have only scratched the surface, and user engagement is already extremely promising. This role would have the opportunity to get in at the ground floor and significantly influence the direction of the product as we scale. What will you be doing? Design, develop, and deploy generative AI applications using NodeJS & TS that enhance product features and user experiences, focusing on agentic applications to automate resolving user inquiries. Collaborate with product teams to identify opportunities for applying generative AI to solve user needs and improve the platform's capabilities. Lead the exploration and implementation of state-of-the-art generative AI techniques, ensuring Front stays ahead of technological trends. Inform on AI model training and deployment infrastructure, ensuring scalability and efficiency. Dive deep into real-world data, ensuring high-quality model training and iteration Monitor and evaluate the performance of AI applications, making adjustments and improvements to ensure they meet our high standards. Keep abreast of the latest developments in machine learning and AI, advocating for best practices and integrating new technologies where appropriate. What skills and experience do you need? Must Have: 5+ years of experience in software development, with a strong focus on AI and machine learning projects. Demonstrable expertise in developing production applications using LLMs and Generative AI models, and familiarity with their underlying technologies. Strong experience with agentic methodologies, prompting techniques, RAG pipelines, evaluation mechanisms and fine-tuning LLMs preferred. High learning agility - you’re excited when you encounter a problem you haven’t seen before. Strong communication skills that illustrate a clear, structured thought process. Should Have: Excellent problem-solving abilities and the capacity to work both independently and as part of a team. Proficiency building production-grade web applications and demonstrated expertise in languages and concepts necessary to deliver these. Eg: Python, JS, TS, Database systems, etc. Strong communication skills, capable of explaining complex technical concepts to non-experts. Deep knowledge of algorithms, data structures, and principles of software engineering. Nice to Have: Knowledge in specialized machine learning areas (deep learning, reinforcement learning). Experience in SaaS or multiplayer application machine learning implementations. Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice #J-18808-Ljbffr
$140k - $200k
...GV, and Accel and enjoy multi-year runway.About the RoleWe’re looking for an ML Engineer to build the production systems that train, deploy, monitor, retrain, and serve our machine-learning models reliably. You sit between software engineering, data engineering, and modeling...SuggestedTemporary workWork at officeMonday to FridayMonday to Thursday$173k - $259k
...express themselves, live in the moment, learn about the world, and have fun together.The... ...Saturn, and other digital services.Snap Engineering teams build fun and technically... ...privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What...SuggestedFull timeLive inWork at officeLocal area$209k - $313k
...express themselves, live in the moment, learn about the world, and have fun together.The... ...Saturn, and other digital services.Snap Engineering teams build fun and technically... ...privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What...SuggestedFull timeLive inWork at officeLocal area- ...and phone orders—using DoorDash's logistics network. The Drive Machine Learning team builds the prediction and intelligence systems that... ...consumer, and dasher outcomes.About the RoleAs a Machine Learning Engineer on the Drive team, you'll own machine learning systems end-to...SuggestedHourly payWork at officeLocal areaRemote workRelocationFlexible hours
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$160k - $240k
...organization, tackles challenging problems at the intersection of machine learning, agentic reasoning, and enterprise-scale systems. Our work... ...value agent applications.About the RoleAs a Machine Learning Engineer on the AI Core team, you will develop tailored user...Full timeWork at officeRemote workHome officeFlexible hours- ...We leverage artificial intelligence and advanced ML, deep learning techniques to power decision-making in real time — from optimizing... ...loop marketplace. About the RoleWe’re looking for a Machine Learning Engineer to help design, build, optimize and scale large-scale ML...Hourly payWork at officeLocal areaRemote workFlexible hours
$200k - $300k
San Francisco, CaliforniaHybridFull Time$200k - $300k A health technology company at the top of their industry is seeking a Machine Learning Engineer to join its research and development team. This full-time opportunity offers the chance to build advanced machine learning...Full timeWorldwide- ...Acceler8 Talent in San Francisco seeks an experienced ML engineer to build models that allocate advertising budgets across Meta, Google and TikTok. You will develop and backtest models, deploy decisions to production, and monitor performance as markets and customer behaviour...Shift work
- ...a well-funded early-stage AI startup building cutting-edge machine learning systems at the intersection of large language models, distributed... ...is an opportunity to join a highly technical team where engineers work across the full machine learning lifecycle, from large-...
$210k - $240k
...If you ship models into production — whether your title says ML engineer or data scientist — this is for you. Salary Range: $210,000–$24... ...to model training to production Build and tune models for learning-to-rank, query understanding, and LLM-driven retrieval Extend ML...Full timeTemporary workFor contractorsRemote workVisa sponsorshipFlexible hours- Parallel is seeking a professional who will own the training pipeline behind models that support both the search stack and agents. Responsibilities include building pathways from product usage to high-quality training data, rigorously fine-tuning models, and shipping them...
$200k - $230k
...love to have you on our team! Why Join Us? We’re looking for a Machine Learning Research Manager to lead a dedicated, high‑impact team of... ...organization scales while partnering deeply with clinicians, engineers, and product leaders to bring high‑value ideas into...Full timeWork at officeFlexible hours- ...companies to build high‑performing teams at scale. As an Applied AI Engineer, you'll join an extremely talented and hard‑working engineering... ...with ambition, a bias towards action, and who thrives on rapid learning and growth. We'll be most excited if you have: Experience...Work at office
$190k - $240k
...Are you an experienced Machine Learning Engineer with a passion for creating impactful solutions using cutting‑edge technologies? We are seeking a highly experienced Sr Applied Machine Learning Engineer to join our applications team. In this role, you will leverage your...$210k - $250k
...ll Be Doing Designing and implementing efficient and scalable machine learning pipelines, across multiple insurance use cases. Collaborating... ...We Hope You Bring Proven experience as a Machine Learning Engineer or similar role (at least 8 years), with a strong focus on leveraging...- ...leading AI creative tooling company in California is seeking an ML Engineer to create and manage their personalization and recommendation... ...feeds, proficiency in Python, and a solid foundation in machine learning. Responsibilities include shaping user experience through...
- ...Clay is seeking a Machine Learning Engineer to join the Learning Team and build a self-learning revenue engine powered by data, ML, and AI. You’ll ship intelligence features that learn from customer data and behavior, ranking and recommendation experiences, and the ML...
$260k - $300k
...a change actually made things better, before a customer finds out for us. You’ll work closely with the founders and the rest of engineering, and you'll have real input into what we build next, not just how we build it. The Team We’re assembling a cracked team of builders...Work at officeDay shift- ...Harrison Clarke is seeking a technically talented engineer to join a well-funded AI startup in San Francisco, building cutting-edge ML systems at the intersection of data pipelines, model training, and production inference. You will own the full ML lifecycle—from data...
- ...technical staff to build superhuman AI agents. Responsibilities include scaling infrastructure for reinforcement learning and collaborating with product engineers on product design. Ideal candidates will have experience in RL, distributed systems, and a passion for...Visa sponsorshipRelocation package
$350k
...Machine Learning Infrastructure Engineer, Safeguards ResearchSan Francisco, CA | New York City, NYAbout AnthropicAnthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a...Work at officeVisa sponsorshipFlexible hoursShift work- Apple Inc. is seeking a developer to join the Siri Natural Language team in San Francisco. The role involves designing and implementing advanced natural language understanding capabilities for Siri, requiring expertise in C++ and Python. The ideal candidate should hold...
- An innovative social AI company in San Francisco is seeking a Senior Machine Learning Engineer to design and enhance image AI models. This role involves developing scalable ML infrastructure and optimizing models for character consistency and responsiveness. Candidates...
$200k
...All roles Machine Learning Engineer Scale the core ML platform behind our product, owning pipelines that ingest data, train models, and generate recommendations that every customer relies on. In-office Location San Francisco, CA Experience 4–6 years Compensation ~$200K...Work at office- ...We are looking for an AI Engineer to join our growing AI team and help build intelligent, production-grade AI systems that solve complex... ...is wrong. What You Need MS or PhD in Computer Science, Machine Learning, or a related quantitative field. Exceptional BS candidates with...Temporary workInternshipImmediate start
$225k - $275k
...ML Engineer – AI-Powered Automation & Workflow Intelligence High‑velocity tech startup at the intersection of AI & intelligent automation... ...closely with product and engineering leaders to align machine learning solutions with high‑value business challenges. Establish reproducibility...Full time- ...Founding Machine Learning Engineer About the job Who we are Voyage is a Maison for Mind Computing – the first deep tech couture house, engineering non-invasive neural interfaces as objects of desire. With a founding team from Apple, MIT Media Lab, Harvard, the Royal College...Shift work
- ...We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combine the power of LLM-powered agents with time-series foundation models....Visa sponsorship
$62k - $100k
...future of our industry. Job Description: About the Role As an AI Engineering team member, you will be instrumental in advancing new features... ...and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you! How You Can...Local areaWorldwide
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