Engineering Manager - Machine Learning Job at Plaid (San Francisco)

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

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