8,586 Machine Learning Engineering jobs in the United States

About us:

VideaHealth is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our vision is to be the first company to diagnose a billion people globally. Our product is already used by thousands of dental clinicians to improve the quality of care through faster diagnoses, increased operating efficiencies, and improved patient understanding.

About the position:

We are looking for a Machine Learning Engineering Manager to join our team and execute on ambitious milestones and influence our product direction. In this role, you will own the day-to-day execution of the ML team, focusing on the design and implementation of infrastructure for reliable and highly performant machine learning and analytics pipelines. The team has a diverse set of ML problems, including detection and classification of dental conditions from medical images and the application of other state-of-the-art ML to our problem domain. You will play a critical role in defining and executing processes for managing large amounts of data and for performing effective evaluations of the clinical efficacy of our algorithms.

In your role as ML Engineering Manager, you will be part of exciting collaborations with researchers, physicians, and regulatory bodies. You will collaborate with company advisors from MIT and Harvard whose expertise spans machine learning, medical imaging, and getting products successfully through the FDA. We are looking for an individual with an exceptional Machine Learning background and a track record of proven delivery who is not shy to take on extensive responsibilities and lead the team through complex technical problems. You will be able to contribute and grow your technical and leadership skills by building end-to-end highly impactful software medical devices that impact the lives of millions of people. Your contributions will play a key role in building a great company from an early stage.

We are looking for someone based in Boston or New York City.

Requirements

• M.S. or PhD in Computer Science, Machine Learning, or related field.

• 7+ years of hands-on development building deep learning and/or data pipelines.

• 2+ years of people/team management experience with a demonstrated ability to lead by example and make your team stronger.

• Excellent strategic communication and collaboration skills.

• Broad ML experience across natural language understanding and computer vision.

• Exceptional Python development skills, including experience in CI/CD and on GitHub.

• Experience applying business context to drive effective decision-making in data science problems.

Preferred

• Experience managing or leading a team through complex projects.

• Publications or blog posts displaying excellent writing on data science or machine learning topics.

• Experience in reading & implementing technical research papers.

• Familiarity with the healthtech industry.

What We Offer

• Fast-paced and collaborative work culture in which you can gain experience, grow your technical skills, and work on a wide variety of challenges over your time with us.

• Competitive pay, equity, and benefits.

• Agile organization where being senior translates to being a mentor and role model for others.

• Technical challenges on the leading edge of innovation where software and machine learning intersect.

Dont meet all the listed requirements? We still encourage you to apply! We are looking for the right teammate who is excited to contribute to our mission and are flexible on the level of experience.

VideaHealth is committed to cultivating an equitable, inclusive, and supportive environment for all employees. We believe this environment creates a safe space for employees to share their experiences, brainstorm ideas, and grow their careers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

If you want to join a breakthrough healthtech company and help accelerate its impact and growth, we encourage you to apply for this exciting opportunity!

Job DescriptionJob DescriptionDescription: Who we are: The EDAG Group is a globally leading, independent engineering services provider that combines excellent engineering with the latest technology trends. With a global network of some 60 branches, the EDAG Group realizes projects in the Vehicle Engineering, Electrics/Electronics and Production Solutions segments. Drawing on more than 50 years of engineering experience, EDAG's proprietary 360-degree development approach has become a hallmark of quality in the holistic development of vehicles and smart factories. The company's interdisciplinary expertise in the areas of software and digitization provides it with crucial skills to actively shape dynamic transformation processes as an innovative partner. With an interdisciplinary team of around 8,600 experts, the EDAG Group develops unique mobility and industrial solutions for customers that include the world's leading automotive and non-automotive companies. The company is listed on the stock exchange since 2015 and generated revenues of € 796 million in 2022. This is how you will grow: Develop and optimize perception algorithms for Level 2/3 autonomous driving systems using camera and LiDAR data. Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning. Research and integrate BEV-based transformer models for perception tasks. Collaborate with cross-functional teams to ensure seamless integration and robust implementation. Test, release, and deploy perception algorithms into Lucid production programs. Support the validation and verification of perception algorithms using prototype and pre-production vehicles. Propose innovative software algorithms to enhance future autonomous driving capabilities. Requirements: This is how you will take us forward: Strong theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation. Proficient in Python with a focus on clean, efficient, and scalable software development. Comfortable working with large codebases and debugging complex machine learning models. Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet). Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments. Excellent communication skills and a strong team player. Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field. Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a senior position. Advanced degrees are . #J-18808-Ljbffr

Manager, Machine Learning Engineering - NIKE USA Inc. - Beaverton , OR. Lead and grow teams of machine learning engineers, data scientists, and software architects to deliver scalable machine learning and artificial intelligence solutions to customers across our business; advocate the implementation of engineering best practices, such as code reviews, unit testing, and the adoption of new technologies in the engineering squads; collaborate as part of a cross-functional leadership team to grow highly skilled, diverse engineering teams that deliver solutions which unlock machine learning for Nike; engage employees, assist the teams by removing roadblocks, and align efforts across Nike’s matrix to drive progress forward and always win as a team; leverage experience, knowledge of industry trends, and personal creativity to develop and drive new and innovative solutions which delight our customers in their mission to serve Athletes; stay current with industry trends and recommend relevant technologies & products in the areas of analytics, machine learning, artificial intelligence, and data science; embrace and embody Nike’s core values (maxims) in work and interactions with peers, stakeholders, and direct reports; model clarity and accountability as a leader, and communicate effectively, build trust and strong relationships across the company, do the right thing; mentor teams, individuals, and technical leaders to foster motivated contributors, collaborative stakeholders, and high performing teams; and set high standards for engineering excellence, MLOPs, operational excellence, and drive innovation. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV. Employer will accept a Master’s degree in Computer Science or Computer and Information Science and two (2) years of experience in the job offered or in an engineering-related occupation. Experience must include: • Python • AWS • Docker • Jenkins • Git • ETL • API Server development • Kubernetes • Agile development • Postgres. Apply at www. Nike.com/Careers (Job# R-62354 ) #LI-DNI We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form . #J-18808-Ljbffr

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 Software Frontend Engineer, Safety Foundation Senior Software Engineer, Continuous Deployment Senior Frontend Software Engineer, Marketplace Senior Frontend Software Engineer - Productivity Platforms and Ecosystems #J-18808-Ljbffr

Machine Learning Engineering Manager, Safeguards About Anthropic 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 Trust & Safety organization. This role bridges trust & safety 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 trust & safety 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 T&S 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 trust & safety 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 You may be a good fit if you: Have 5+ years of management experience in a technical ML-focused environment Have 5+ years of experience in trust & safety or anti-fraud/risk engineering, 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 Strong candidates may also: 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: $340,000 - $425,000 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. Apply for this job * indicates a required field First Name * Last Name * Email * Phone Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf (Optional) Personal Preferences How do you pronounce your name? Website Are you open to working in-person in one of our offices 25% of the time? * Select. When is the earliest you would want to start working with us? Do you have any deadlines or timeline considerations we should be aware of? AI Policy for Application * Select. While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process. We want to understand your personal interest in Anthropic without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills. Please indicate 'Yes' if you have read and agree. Why Anthropic? * Why do you want to work at Anthropic? (We value this response highly - great answers are often 200-400 words.) Additional Information Add a cover letter or anything else you want to share. LinkedIn Profile Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two. Are you open to relocation for this role? * Select. What is the address from which you plan on working? If you would need to relocate, please type "relocating". Have you ever interviewed at Anthropic before? * Select. Do you require visa sponsorship? * Select. Will you now or will you in the future require employment visa sponsorship to work in the country in which the job you're applying for is located? * Select. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Anthropic’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. 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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, were 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. Were 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 youll 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 platformfrom bodies, clothing, and accessories to fully styled outfitsspanning the Roblox app and immersive in-experience surfaces. Were reimagining how discovery and personalization can unlock creativity and economic opportunity for millions of users and creators .

Were 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.

1. Define and drive the technical roadmap for ML across Search, Recommendation, and Content Understanding.
2. Lead the development of scalable, production-ready ML systemsfrom raw data to model deployment.
3. Collaborate cross-functionally with product, design, and data science to build intelligent discovery experiences.
4. Recruit, mentor, and grow a high-performing team of ML engineers.
5. Establish engineering best practices to ensure system reliability, extensibility, and performance.

• 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 fieldor 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: Youve built ML systems from data ingestion to serving in production.
• Strategic Thinking: Youre 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.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Adobe Firefly's GenAI Enterprise Services team is looking for a senior ML engineering manager to spearhead our growing efforts in building world-class GenAI solutions for enterprise customers. In this role, you will lead a high-performing team of ML and service engineers focused on designing, deploying, optimizing and scaling generative models and APIs that power next-generation digital experiences. As a senior leader, you'll define long-term strategy, shape the technical roadmap, and collaborate across Adobe to accelerate our momentum in the enterprise GenAI space. This is a high-impact role at the intersection of ground breaking technology and real-world enterprise value. Job Responsibilities Tech lead projects that delivers critical ML services and APIs to integrate first- and third-party models and pipelines for Enterprise customers Collaborate cross-functionally with PMs, PMMs, TPMs, and other engineering teams to shape the roadmap of Adobe's Enteprise Gen AI space Provide technical leadership, coaching and mentorship for team members Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe's GenAI engineering effectiveness and efficiency Review and provide feedback on features, technology, architecture, designs and test strategies. Lead the development and delivery of critical ML services and APIs that integrate first- and third-party models into scalable enterprise pipelines. Act as a technical leader and coach, guiding a team of ML and platform engineers through complex, high-stakes projects. Drive cross-functional collaboration with PMs, TPMs, PMMs, and other engineering groups to align on roadmap and execution. Champion innovation by exploring emerging ML and MLOps technologies to boost Adobe's GenAI effectiveness. Oversee technical design reviews, architecture decisions, and system reliability standards. What you'll need to succeed MS/PhD in Computer Science, AI/ML, or related fields, or equivalent industry experience. 8+ years of experience in machine learning, including production-scale deployments. 5+ years of engineering leadership experience, with a track record of growing and mentoring high-performing teams. Strong background in generative AI technologies (e.g., GANs, diffusion models, transformers). Proven ability to lead large, cross-functional teams through complex, time-sensitive projects. Excellent communication skills, with a knack for influence and driving alignment in matrixed organizations. Preferred experience: Hands-on experience with training, fine-tuning, inference, and optimization of generative models. Hands-on familiarity with optimizing and converting models across formats #FireflyGenAI Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $168,200 -- $340,100 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call ( . #J-18808-Ljbffr

• Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring.
• Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models.
• Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation.
• Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence.
• Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders.

• Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)

• 5+ years of experience managing machine learning engineering teams running core services at scale

• Experience building and scaling machine learning models in business applications using large amounts of data

• Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story

• Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"

• Agile development mindset, appreciating the benefit of constant iteration and improvement