10,983 Machine Learning Engineering jobs in the United States
Machine Learning Engineering Lead
Posted 10 days ago
Job Viewed
Job Description
Location: San Francisco, CA
Time Type: Full Time
The Opportunity
Ohalo is looking for a hands-on Machine Learning Engineering Lead to convert cutting-edge quantitative-genetics research into production systems that accelerate crop improvement. You will steer a small squad of ML/Data/Software Engineers, partnering with quantitative geneticists and statisticians to deliver Bayesian genomic-prediction pipelines, breeding-system simulations, and AI-powered hybrid-optimization services. Your work will directly shape how breeders make thousands of crossing decisions and drive the next leap in agricultural productivity.
Responsibilities
- Lead technical strategy & architecture for statistical-genomic services-from MCMC breeding simulations to real-time breeding-value prediction APIs.
- Design, build, and maintain scalable ML pipelines on GCP (or the best-fit cloud) using Python, BigQuery/Spark, Kubernetes, and CI/CD best practices.
- Advance statistical rigor by championing Bayesian & mixed-model methods (Stan, PyMC, BGLR, TensorFlow Probability) and ensuring reproducible research-to-production transitions.
- Integrate genomic technologies : GWAS workflows, marker-assisted selection analytics, heterotic-group analysis, and large-scale phenotype/genotype feature stores.
- Mentor & grow a small team -provide technical guidance, establish code-review norms, and cultivate a culture of rapid, well-engineered experimentation.
- Own model-ops lifecycle : automated testing, containerized deployment, continuous monitoring, and A/B evaluation against breeding KPIs.
- Collaborate cross-functionally with plant scientists, data engineers, and the automation group to ingest high-throughput phenotyping data and close feedback loops.
- Report progress & roadmap trade-offs directly to the executive team, translating scientific ambition into clear engineering milestones and OKRs.
- Education - M.S. in Computer Science, Statistics, Quantitative Genetics, or related field (or equivalent industry record).
- Experience - 3-5 years building production ML/AI systems, with at least 1-2 years in a technical-lead or mentoring role.
- Genomic & statistical depth - Practical experience with genomic-prediction, GWAS, or related quantitative-genetics models; proficiency in Bayesian/MCMC methods.
- Engineering excellence - Expert Python plus one ML framework (JAX/NumPyro, TensorFlow, or PyTorch); strong grasp of microservices, Docker/Kubernetes, and cloud data platforms (BigQuery, Vertex AI, etc.).
- Data-engineering acumen - Comfortable designing batch, streaming, and event-driven pipelines; Pub/Sub, Kafka, or equivalent.
- Leadership & communication - Able to set direction, give candid feedback, and bridge domain-scientist ↔ engineer conversations with clarity.
- Bonus points for : Heterotic-group analysis, trait-mapping for fertility, Nextflow pipelines, or high-throughput phenotype imaging.
Ohalo™ aims to accelerate evolution to unlock nature's potential. Founded in 2019, Ohalo develops novel breeding systems and improved plant varieties that help farmers grow more food with fewer natural resources, increasing the yield, resiliency, and genetic diversity of crops to sustainably feed our population. Ohalo's breakthrough technology, Boosted Breeding™, will usher in a new era of improved productivity to radically transform global agriculture. For more information, visit
The anticipated pay range for this role is $140,000 - $180,000 per year for our San Francisco, CA location, though salary will be based on a variety of factors including, but not limited to, experience, skills, education, and location.
Notes:
- If you previously applied for a job at Ohalo, we encourage you to restate your interest in the position by submitting your application.
- No visa sponsorship is available for this position at this time.
- No recruiters please.
Machine Learning Engineering Manager
Posted 28 days ago
Job Viewed
Job Description
Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.
About Us
We've created an AI-based hiring platform designed to improve the recruitment process for both job seekers and companies.
We're training models that predict job performance better than a human can. Our technology is so powerful that it's trusted by customers ranging from startups making their first hires to the largest AI labs hiring thousands of experts to train LLMs.
Why Join Us?
The team:
- Working with incredibly smart and ambitious people. The team is comprised of serial founders who are already launched and sold start ups.
- We are working with Silicon Valley's top AI labs.
- We hit unicorn status!
- We are already profitable! We have an 8-figure revenue run rate, growing 50% MoM, forecasted to hit 9 figures in 2025.
- Top investors.
We are an early-stage start up with lots of work to do all over the stack. We're looking for individuals who are experts and passionate about what they do. We want you to work on what you want to work on. So you let us know where your expertise lies :)
If these things describe you we'd love to chat further!
- You have an education that has prepared you for a high caliber career.
- You're ready to catapult your career with serial successful founders to continue to propel this unicorn start up.
- You're a strong communicator with charisma and high energy.
- You're comfortable with product ownership and guiding yourself through complex challenges undirected.
- You pay attention to detail particularly in terms of producing high-quality, stable code that can support rapid scaling.
- You have a strong belief in regularly testing and using the things you build, and a strong sense of ownership for everything you've developed
$200-300k base + 20-40% performance bonus + 1-10mil in options
Benefits:
- Equinox membership
- $10k housing stipend if you live near the office.
- Free food in the office- you can order whatever you want.
- Healthcare.
- Unlimited PTO.
Machine Learning Engineering Manager, Safeguards
Posted 16 days ago
Job Viewed
Job Description
Anthropic'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 whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking an ML Engineering Manager to lead an Applied ML team in our Safeguards organization. This role bridges safeguards expertise with applied machine learning to protect and enhance our AI services. You'll lead a team that develops AI-driven detection models for identifying misuse while implementing practical safety measurements. Working closely with policy and enforcement teams, you'll translate complex ML capabilities into effective protective measures that ensure our products remain both safe and accessible. This position combines strategic oversight of safeguards operations with hands-on guidance of ML applications, making it crucial for maintaining the integrity and responsible deployment of Anthropic's AI services.
Responsibilities:
- Set team vision and roadmap to detect and prevent harmful usage of Anthropic's AI services through applied machine learning solutions
- Lead a team of ML and software engineers to translate complex AI capabilities into practical safety mechanisms, with qualitative and quantitative harm measurement
- Partner with Safeguards Product, Policy, and Enforcement teams to identify risk vectors and implement ML-driven detection and enforcement actions
- Maintain a deep understanding of both AI safety research and safeguards best practices
- Drive major collaborations between research and policy teams across Anthropic
- Hire, support, and develop team members through continuous feedback, career coaching, and people management practices
- Have 5+ years of management experience in a technical ML-focused environment
- Have experience with large language models
- Have 5+ years of experience in AI safety, with a focus on applied Machine Learning.
- Have deep experience with techniques for detecting harmful content and platform misuse
- Demonstrated ability to lead and manage high-performing technical teams
- Show excellent communication skills in translating complex technical concepts for various audiences
- Possess strong project management skills with the ability to balance multiple priorities
- Have experience managing teams through periods of rapid growth and change
- Have experience working with or managing teams focused on applied machine learning
- Possess knowledge of common internet threats and evolving adversarial techniques
- Excel at building strong relationships with stakeholders at all levels
- Have experience implementing AI-driven safety measures in production environments
- Demonstrate passion for ensuring the responsible development and deployment of AI systems and products
At Anthropic, we value diversity and are committed to creating an inclusive environment for all employees. We encourage applications from candidates of all backgrounds.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Annual Salary:
$425,000-$560,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Machine Learning Engineering Manager, Enterprise
Posted 28 days ago
Job Viewed
Job Description
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP).
The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an ML Engineering Manager, you'll manage a team of high-calibre MLEs who train ML models to satisfy enterprise business needs. Your team's work will range from creating the connective tissue/platform to build next-generation AI cybersecurity firewall LLMs to training foundation agentic action models making predictions about business-saving outcomes. You will guide your team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!
You will:
- Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
- Manage a team of 5+ ML Engineers
- Work with product and research teams to identify opportunities for ongoing and upcoming services.
- Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
- Create state of the art techniques to integrate tool-calling into production-serving LLMs.
- Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.
- At least 3 years of model training, deployment and maintenance experience in a production environment
- At least 1-2 years of management or tech leadership experience
- Strong skills in NLP, LLMs and deep learning
- Solid background in algorithms, data structures, and object-oriented programming
- Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
- Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models
- PhD or Masters in Computer Science or a related field
- Experience in dealing with large scale AI problems, ideally in the generative-AI field
- Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals
- Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.
- Strong written and verbal communication skills to operate in a cross functional team environment
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$212,000-$254,400 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Machine Learning Engineering Manager - Marketplace
Posted 28 days ago
Job Viewed
Job Description
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
Machine Learning Engineering Manager – Marketplace
At Roblox, our Marketplace Search & Recommendation team powers the discovery of avatar content across the platform—from bodies, clothing, and accessories to fully styled outfits—spanning the Roblox app and immersive in-experience surfaces. We’re reimagining how discovery and personalization can unlock creativity and economic opportunity for millions of users and creators .
We’re looking for a Machine Learning Engineering Manager to lead a team of exceptional ML engineers tackling core challenges across ranking, retrieval, and multimodal content understanding . This includes everything from advancing deep learning models for search and recommendation, to developing systems that understand the textual and visual semantics of avatar content and drive long-term value for the Roblox economy.
You Will::
Define and drive the technical roadmap for ML across Search, Recommendation, and Content Understanding.
Lead the development of scalable, production-ready ML systems—from raw data to model deployment.
Collaborate cross-functionally with product, design, and data science to build intelligent discovery experiences.
Recruit, mentor, and grow a high-performing team of ML engineers.
Establish engineering best practices to ensure system reliability, extensibility, and performance.
You Have:
Leadership Experience: 3+ years managing ML engineers or scientists; 5+ years building ML systems at scale in search, recommender systems, or ads.
Strong Technical Foundation: Degree in Computer Science, Engineering, Math, Physics, or a related field—or equivalent hands-on experience.
Depth in ML: Proven track record shipping deep learning models across ranking, retrieval, NLP, computer vision, or multimodal pipelines. Experience using transformer architectures and LLMs in production systems is a strong plus.
End-to-End Execution: You’ve built ML systems from data ingestion to serving in production.
Strategic Thinking: You’re comfortable balancing near-term impact with long-term innovation.
Team-first Mindset: A collaborative leader who thrives on mentoring and enabling others to succeed.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits.
Annual Salary Range
$289,460—$338,270 USD
Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.
Senior Manager, Machine Learning Engineering
Posted 2 days ago
Job Viewed
Job Description
**What you get to do in this role:**
The Virtual Agent Science team is at the forefront of conversational AI, specializing in delivering intelligent, human-like interactions through virtual agents. Our mission is to enhance customer experiences by advancing the state of the art in search and conversational science. We tackle the entire lifecycle of conversational AI-from understanding user intent and retrieving relevant documents to crafting natural and context-aware personalized responses.
We collaborate closely with product teams to translate business requirements into robust, measurable solutions. Our work includes developing and refining benchmarks for conversational systems, leveraging user feedback to continuously improve performance, and innovating in areas like semantic search, language modeling, and dialogue management.
By combining cutting-edge research with practical applications, we ensure our virtual agents are capable of retrieving the most relevant information, responding effectively to user queries, and gracefully handling scenarios where clarification or "no answer found" responses are required.
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.
**What you'll do in the role:**
+ Build the best cloud-based AI/ML solutions to power intelligent enterprise services.
+ Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
+ Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users.
+ Creating and maintaining large-scale data processing pipelines that ensure that data is processed accurately, efficiently, and securely
**To be successful in this role you have:**
+ Proficient in prompt engineering and developing LLM based features
+ Experience with Search quality improvements
+ Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
+ Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
+ 10+ years of related experience with a bachelor's degree; or 8 years and a master's degree; or a PhD with 5 years' experience; or equivalent work experience
+ 4+ years of management and/or technical lead experience, proficiency in providing feedback to work group strategies, policies and plans
+ Experience building new products that use challenging algorithms in hands of customers.
+ Proficient with methods of prompt tuning LLMs. Good to have some awareness of fine-tuning large language models, such as distillation, supervised fine-tuning and policy optimization.
+ Knowledge of core AI/ML techniques and algorithms
+ Expertise in coding efficient, object-oriented, modularized and quality software. Knowledge of unit testing, profiling, and code tuning.
WJAISNJOBS
For positions in this location, we offer a base pay of $197,800 - $346,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
Senior AI/ML Engineer, Machine Learning Engineering
Posted 1 day ago
Job Viewed
Job Description
Description
At Audible, we believe stories have the power to transform lives. It's why we work with some of the world's leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.
ABOUT THIS ROLE
As a Senior AI/ML Engineer, it's up to you to design, architect, and implement machine learning solutions that drive transformative technological advancements. The ideal candidate will combine deep technical expertise with strategic thinking, capable of translating complex business challenges into scalable, intelligent systems.
ABOUT THE TEAM
Our AI/ML Engineering team is at the forefront of transformative technological innovation, dedicated to solving complex challenges through intelligent system design. We are a dynamic, collaborative group of technologists who push the boundaries of machine learning, artificial intelligence, and large-scale distributed systems. Our mission is to develop AI solutions that drive technological breakthroughs, deliver measurable business impact, create intelligent systems that learn, adapt, and evolve.
ABOUT YOU
As a Senior AI/ML Engineer, you will.
-
Design and develop advanced machine learning architectures and intelligent systems
-
Create robust, scalable ML infrastructure and pipelines
-
Develop end-to-end AI solutions addressing complex technical and business challenges
-
Architect machine learning models with a focus on performance, scalability, and efficiency
-
Conduct advanced research and prototype innovative AI/ML approaches
-
Collaborate cross-functionally to align technical solutions with strategic objectives
-
Mentor junior engineers and contribute to technical knowledge sharing
-
Lead technical design reviews and provide architectural guidance
ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners' imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
Basic Qualifications
-
5+ years of non-internship professional software development experience
-
5+ years of programming with at least one software programming language experience
-
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
-
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
-
Experience as a mentor, tech lead or leading an engineering team
-
Advanced knowledge of MLOps and ML system design
-
Experience with large-scale machine learning systems
-
Demonstrated ability to architect complex AI solutions
Preferred Qualifications
-
Bachelor's degree in computer science or equivalent
-
Publication or significant contributions in machine learning research
-
Strong communication and cross-functional collaboration skills
-
Experience building and maintaining large-scale distributed systems
-
Track record of improving engineering processes and practices
-
Experience influencing technical decisions across teams
-
Strong technical writing and documentation skills
-
Experience with cloud technologies and microservices architecture
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Be The First To Know
About the latest Machine learning engineering Jobs in United States !
Senior AI/ML Engineer, Machine Learning Engineering
Posted 2 days ago
Job Viewed
Job Description
At Audible, we believe stories have the power to transform lives. It's why we work with some of the world's leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.
ABOUT THIS ROLE
As a Senior AI/ML Engineer, it's up to you to design, architect, and implement machine learning solutions that drive transformative technological advancements. The ideal candidate will combine deep technical expertise with strategic thinking, capable of translating complex business challenges into scalable, intelligent systems.
ABOUT THE TEAM
Our AI/ML Engineering team is at the forefront of transformative technological innovation, dedicated to solving complex challenges through intelligent system design. We are a dynamic, collaborative group of technologists who push the boundaries of machine learning, artificial intelligence, and large-scale distributed systems. Our mission is to develop AI solutions that drive technological breakthroughs, deliver measurable business impact, create intelligent systems that learn, adapt, and evolve.
ABOUT YOU
As a Senior AI/ML Engineer, you will.
- Design and develop advanced machine learning architectures and intelligent systems
- Create robust, scalable ML infrastructure and pipelines
- Develop end-to-end AI solutions addressing complex technical and business challenges
- Architect machine learning models with a focus on performance, scalability, and efficiency
- Conduct advanced research and prototype innovative AI/ML approaches
- Collaborate cross-functionally to align technical solutions with strategic objectives
- Mentor junior engineers and contribute to technical knowledge sharing
- Lead technical design reviews and provide architectural guidance
ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners' imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
Basic Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
- Advanced knowledge of MLOps and ML system design
- Experience with large-scale machine learning systems
- Demonstrated ability to architect complex AI solutions
Preferred Qualifications
- Bachelor's degree in computer science or equivalent
- Publication or significant contributions in machine learning research
- Strong communication and cross-functional collaboration skills
- Experience building and maintaining large-scale distributed systems
- Track record of improving engineering processes and practices
- Experience influencing technical decisions across teams
- Strong technical writing and documentation skills
- Experience with cloud technologies and microservices architecture
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Director, Machine Learning Engineering - Video AI
Posted 28 days ago
Job Viewed
Job Description
Welcome to Warner Bros. Discovery… the stuff dreams are made of.
Who We Are…
When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
What We Do
At WBD, the video AI team comprises of computer vision engineers, ML engineers, and software engineers. We have an extraordinary catalog of content that spans 100 years of movies and tv shows. In this role, you will lead the video AI team and drive key initiatives that connect our unparalleled content with global audiences through novel (product and marketing) experiences powered by video understanding.
What You’ll Do
Develop and communicate a robust technical vision and strategy for applications based on video and image understanding
Define and track key performance indicators and evaluation protocols to measure product and technical success for video understanding tasks and applications
Work cross-functionally with product management, engineering, and business stakeholders
Guide the development of high-impact end-to-end machine learning systems for media processing
Promote and role-model best practices in data science and engineering throughout the organization
Hire and mentor engineers and researchers on the team and raise the bar for ML excellence across the org
Stay up to date with state-of-the-art developments in the research community and contribute back by writing/publishing blogs, articles or papers in conferences
What You’ll Need
M.S or PhD in a Computer Science or related field with specialization in machine learning and/or computer vision
10+ years of building CV/ML products with for consumer and/or enterprise applications
4+ years of managing high-performance teams
Proven leadership skills, such as aligning complex technical decisions across teams, mentoring, coordinating cross-functional relationships with non-technical stakeholders, managing expectations, and navigating competing priorities
Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to business audiences
Self-motivated, growth-oriented, and driven to pursue excellence across teams
Deep knowledge of computer vision and audio processing techniques
Experience with multi modal learning for video understanding, Vision language models, diffusion models and agentic workflows
Familiarity with statistics and general machine learning techniques strongly preferred
Production experience implementing, maintaining, and improving machine learning pipelines for media processing and models at scale in Python, Java, Scala, or similar languages using frameworks such as tensorflow and pytorch.
How We Get Things Done…
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $234,500.00 - $435,500.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation. If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.Director, Machine Learning Engineering - Video AI
Posted 5 days ago
Job Viewed
Job Description
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
**What We Do**
At WBD , the video AI team comprises of computer vision engineers , M L engineers , and software engineers . W e have an extraordinary catalog of content that spans 100 years of movies and tv shows. In this role, y ou will lead th e video AI team and drive key initiatives that connect our unparalleled content with global audiences through novel (product and marketing) experiences powered by video understanding.
**What You'll Do**
+ Develop and communicate a robust technical vision and strategy for applications based on video and image understanding
+ Define and track key performance indicators and evaluation protocols to measure product and technical success for video understanding tasks and applications
+ Work cross-functionally with product management, engineering, and business stakeholders
+ G uide the development of high-impact end-to-end machine learning systems for media processing
+ Promote and role-model best practices in data science and engineering throughout the organization
+ Hire and m entor engineers and researchers on the team and raise the bar for ML excellence across the org
+ Stay up to date with state-of-the-art developments in the research community and c ontribute back by writing/publishing blogs, articles or papers in conferences
**What You'll Need**
+ M.S or PhD in a Computer Science or related field with specialization in machine learning and/or computer vision
+ 10+ years of building CV/ ML products with for consumer and /or enterprise applications
+ 4+ years of managing high-perf ormance teams
+ Proven leadership skills, such as aligning complex technical decisions across teams, mentoring, coordinating cross-functional relationships with non-technical stakeholders, managing expectations, and navigating competing priorities
+ Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to business audiences
+ Self-motivated, growth-oriented, and driven to pursue excellence across teams
+ Deep knowledge of computer vision and audio processing techniques
+ Experience with multi modal learning for video understanding , Vision language models, diffusion models and agentic workflows
+ Familiarity with statistics and general machine learning techniques strongly preferred
+ Production experience implementing, maintaining , and improving machine learning pipelines for media processing and models at scale in Python, Java, Scala, or similar languages using frameworks such as tensorflow and pytorch .
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $234,500.00 - $435,500.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.