Engineering Manager, Machine Learning Job at Roku (Bengaluru)

Engineering Manager, Machine Learning

Dandy is transforming the massive and antiquated dental industry—an industry wor...

Location

United States

Salary:

216750.00 - 255000.00 USD / Year

Dandy

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong focus on computer vision or machine learning
Extensive experience in SOTA 2D deep learning and/or experience with 3D deep learning
6+ years (or 5 years + PhD) of industry experience in applied machine learning
At least 1 year in a leadership or management role
Strong people management skills with a track record of team development, mentorship, and retention
Demonstrated ability to lead cross-functional efforts across product, engineering, research, and operations
Strong coding skills in Python
Experience with ML frameworks like PyTorch

Job Responsibility

Lead execution of the ML roadmap, managing a team focused on 3D deep learning and computer vision
Partner with product, engineering, and research stakeholders to align and execute technical strategy with business goals
Lead and grow a high-performing team of ML scientists, engineers, and researchers
Drive the development of computer vision models to extract structure from unstructured, information-dense 3D scans
Research and implement state-of-the-art methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks
Collaborate with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
Manage large-scale datasets to develop both generic models as well as fine-tune models for specific applications
Develop evaluation methods to establish confidence in our datasets and models
Implement best practices for our MLOps pipelines, ensuring robust and scalable deployment of models

What we offer

Offers Equity
Healthcare
Dental
Mental health support
Parental planning resources
Retirement savings options
Generous paid time off

Fulltime

Senior Manager, Machine Learning Engineering

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile tea...

Location

United States , McLean; New York

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions
At least 4 years of people management experience
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience developing performant, resilient, and maintainable code
3+ years of experience with data gathering and preparation for ML models

Job Responsibility

Design, build, and/or deliver ML models and components that solve real-world business problems
Inform ML infrastructure decisions using understanding of ML modeling techniques and issues
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed
Use programming languages like Python, Scala, or Java

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior Machine Learning Engineering Manager, Gen AI

We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional...

Location

United States

Salary:

193500.00 - 303150.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years in ML, search, or backend engineering roles, with 3+ years leading teams
Strong track record of shipping ML-powered or LLM-integrated user-facing products
Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration)
Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack), with the ability to lead end-to-end
Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.)
Strong product intuition and ability to translate complex tech into valuable user features
Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops
Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent practical experience

Job Responsibility

Lead the vision, design, and execution of LLM-powered AI products, leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system
Define system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback mechanisms
Work closely with product and design teams to ensure delightful, fast, and grounded user experiences
Build and manage a cross-disciplinary team including ML engineers, backend/frontend engineers, and applied scientists
Foster a culture of E2E ownership — empowering the team to move from prototype to production quickly and iteratively
Mentor individuals to grow in both technical depth and product acumen
Shape the technical roadmap and long-term strategy for GenAI search across Atlassian’s product suite
Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement
Champion data quality, grounding, and responsible AI practices in all deployed features

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Senior Machine Learning Engineering Manager, Gen AI

The Dropbox team is growing, and we're looking for an engineering manager to sup...

Location

Canada

Salary:

219300.00 - 296700.00 CAD / Year

Dropbox

Expiration Date

Until further notice

Requirements

MS degree or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
10+ years of software engineering experience, with at least 5+ years in direct management roles.
Proficient in the latest advancements in ML, NLP, LLM, and GenAI.
Drive and ability to move forward in spite of ambiguity with a bias for action.
Proven expertise in the application of ML techniques to address practical challenges in real-world scenarios, spanning AI Agents, Chatbots, Search, or Information Retrieval domains.
Strong emphasis on using data-driven insights to guide decision-making processes, including A/B testing and experimentation.
Proven track record of setting visionary goals and delivering iterative progress.
Exceptional analytical capabilities to optimize solutions in complex and dynamic environments.
Ability to mentor and guide team members to maximize their impact.

Job Responsibility

Lead and develop a high-performing team of engineers, fostering individual ownership, and driving impactful outcomes.
Shape and advance the future of Dash, driving product monetization and revenue generation for Dropbox.
Utilize data and insights to make informed decisions that significantly impact the company.
Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility.
Cultivate a collaborative culture within the team that embodies Dropbox's values.
Provide strategic direction and proactively anticipate scaling challenges through long-term planning.
Define team’s OKRs and manage the executions.
Work closely with business partners and peer teams for project priorities and requirements
Manages system’s operational health, including on-call duties and connections with external gateway partners.
Define the growth paths and opportunities for team members.

What we offer

Competitive medical, dental and vision coverage
Retirement savings through a defined contribution pension or savings plan
Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
Income Protection Plans: Life and disability insurance
Business Travel Protection: Travel medical and accident insurance
Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more
Parental benefits including: Parental Leave, Fertility Benefits, Adoptions and Surrogacy support, and Lactation support
Mental health and wellness benefits

Fulltime

Senior Machine Learning Engineering Manager, Gen AI

The Dropbox team is growing, and we're looking for an engineering manager to sup...

Location

United States

Salary:

216200.00 - 365700.00 USD / Year

Dropbox

Expiration Date

Until further notice

Requirements

MS degree or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
10+ years of software engineering experience, with at least 5+ years in direct management roles.
Proficient in the latest advancements in ML, NLP, LLM, and GenAI.
Drive and ability to move forward in spite of ambiguity with a bias for action.
Proven expertise in the application of ML techniques to address practical challenges in real-world scenarios, spanning AI Agents, Chatbots, Search, or Information Retrieval domains.
Strong emphasis on using data-driven insights to guide decision-making processes, including A/B testing and experimentation.
Proven track record of setting visionary goals and delivering iterative progress.
Exceptional analytical capabilities to optimize solutions in complex and dynamic environments.
Ability to mentor and guide team members to maximize their impact.

Job Responsibility

Lead and develop a high-performing team of engineers, fostering individual ownership, and driving impactful outcomes.
Shape and advance the future of Dash, driving product monetization and revenue generation for Dropbox.
Utilize data and insights to make informed decisions that significantly impact the company.
Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility.
Cultivate a collaborative culture within the team that embodies Dropbox's values.
Provide strategic direction and proactively anticipate scaling challenges through long-term planning.
Define team’s OKRs and manage the executions.
Work closely with business partners and peer teams for project priorities and requirements
Manages system’s operational health, including on-call duties and connections with external gateway partners.
Define the growth paths and opportunities for team members.

What we offer

Competitive medical, dental, and vision coverage
401(k) plan with a generous company match and immediate vesting
Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
Income Protection Plans: Life and disability insurance
Business Travel Protection: Travel medical and accident insurance
Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more
Parental benefits including: Parental Leave, Child and Adult Care, Day Care FSA, Fertility Benefits, Adoption and Surrogacy Support, and Lactation Support
Access to over 10,000 global co-working spaces through Gable.to, making it easy to book flexible workspaces for collaboration or individual work
Quarterly Cell phone and internet allowance
Mental health and wellness benefits

Fulltime

Machine Learning Engineering Manager, Recommendations

We're looking for someone to lead recommendations at Suno. You'll be instrumenta...

Location

United States , San Francisco

Salary:

280000.00 - 350000.00 USD / Year

Suno

Expiration Date

Until further notice

Requirements

5+ years building recommendation systems at scale
at least 2+ years leading teams and owning the development of recommendation systems in production
deep technical expertise of what's cutting edge and the ability to get there through practical, iterative steps
strong collaboration skills and the ability to work with leaders across the company to influence direction
passion for what Suno is building and excitement about defining the future of music discovery
applicants must be eligible to work in the US

Job Responsibility

Shape Suno's recommendation vision, strategy, and technical direction
partner with leaders across product, engineering, and research to decide how recommendations evolve with our platform
lead the building of a full recommendations system from the ground up, from prototyping and evaluating approaches to experimentation to deploying at scale
build and grow a recommendations team

What we offer

Generous Company Equity Package
401(k) with 3% Employer Match & Roth 401(k)
Unlimited PTO & Sick Time
Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
Continued / Creative Education Stipend
Generous Commuter Allowance
In-Office Lunch (5 days per week)

Fulltime

Engineering Manager - Machine Learning Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , New York

Salary:

216000.00 - 367200.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8–10 years of experience in ML infrastructure, including direct hands-on expertise as an engineer, IC/TL
2+ years of experience managing infrastructure or ML platform engineers
Proven experience delivering and operating ML or AI infrastructure at scale
Solid technical depth across ML/AI infrastructure domains (e.g., feature stores, pipelines, deployment, inference, observability)
Demonstrated ability to drive execution on complex technical projects with cross-team stakeholders
Strong communication and stakeholder management skills

Job Responsibility

Lead and support the ML Infra team, driving project execution and ensuring delivery on key commitments
Build and launch Plaid’s next-generation feature store to improve reliability and velocity of model development
Define and drive adoption of an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines, deployment tooling, and inference systems
Partner with ML product teams to understand requirements and deliver solutions that accelerate model development and iteration
Recruit, mentor, and develop engineers, fostering a collaborative and high-performing team culture

Fulltime

Senior Engineering Manager - Machine Learning

As Sr Engineering Manager for the Shopping ML team, you will join a team dedicat...

Location

United States , Sunnyvale; San Francisco; New York

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

MS or equivalent experience in Computer Science, Engineering, Mathematics, or related field
10+ years of industry experience in software engineering and AI/ML
5+ years of experience directly managing engineering or ML teams, with a track record of hiring, mentoring, and growing high-performance teams
Deep understanding of machine learning fundamentals, with practical experience applying them to real-world problems.
Experience working with cross-functional teams (product, science, product ops, etc.)

Job Responsibility

Define and execute the Shopping ML product and engineering roadmap and strategy, focusing on personalization and discovery experiences that enhance multiple surfaces on the Uber Eats app including the store, checkout, and s experiences.
Collaborate with product managers, data scientists, designers, and operations to identify opportunities, prioritize initiatives, and deliver ML-powered features that feel intuitive and assistive.
Develop scalable systems that help consumers easily discover and order food and groceries, while also surfacing personalized recommendations for future meals or unmet needs.
Partner with other product & engineering teams to ensure ML frameworks and capabilities are leveraged to create cohesive, delightful user experiences.
Stay on top of industry trends and emerging best practices in machine learning and personalization to ensure Uber Eats continues to lead in innovation.

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

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Engineering Manager, Machine Learning

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