Senior/Staff Machine Learning Engineer, Planning Job at PlusAI (Santa Clara)

Senior/Staff Machine Learning Engineer, Planning

We’re looking for a machine learning engineer to train and deploy the latest gen...

Location

United States , Santa Clara

Salary:

130000.00 - 220000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Software, Robotics, or related field
4+ years of machine learning engineering experience for robotics applications
Experience developing high-quality software from design and implementation to testing and deployment.
Expertise with Python, willingness to do some C++ development as needed.
Experience training with modern frameworks (e.g. PyTorch)
A rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics.
Hands-on familiarity with cloud data ingestion pipelines
Strong communication and collaborative skills

Job Responsibility

Use complex map and perception sensor output to develop novel deep learning models for our planning stack.
Design critical safety checks to ensure driving trajectories are feasible and follow rules of road.
Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.
Track and incorporate the latest multidisciplinary research advancements in a fast-moving field.
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.

What we offer

Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.

Fulltime

Senior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI

Scale AI is the data foundation for AI, helping organizations build and deploy r...

Location

United States , San Francisco; New York

Salary:

218000.00 - 273000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases
Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience
Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design
Proven proficiency in Python, including writing production-quality, testable, and maintainable code
Experience building systems that integrate models with external tools, APIs, databases, and services
Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints
Strong communication skills and comfort working in customer-facing or cross-functional environments

Job Responsibility

Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases
Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints
Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings
Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs
Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems
Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage
Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
commuter stipend

Fulltime

Staff Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...

Location

United Kingdom , London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

5-8 years applied ML experience
Previous background in a senior/staff role (data science, software development or academic)
Significant, demonstrated impact that your work has had on the product and/or the teams
Strong programming skills
Experience as the primary technical leader for a team
Strong communication skills, both within engineering teams and across disciplines
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills

Job Responsibility

Play an active role in hiring, mentoring and career development of other engineers
Raise the bar for technical standards, performance, reliability, and operational excellence
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research - Deeply understand the problem area
Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Fulltime

Staff Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

5-8 years applied ML experience
Previous background in a senior/staff role (data science, software development or academic)
Significant, demonstrated impact that your work has had on the product and/or the teams
Strong programming skills
Experience as the primary technical leader for a team
Strong communication skills, both within engineering teams and across disciplines
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills

Job Responsibility

Play an active role in hiring, mentoring and career development of other engineers
Raise the bar for technical standards, performance, reliability, and operational excellence
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research - Deeply understand the problem area
Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
Relocation support for those moving to our offices

Fulltime

New

Mobile Associate - Retail Sales

Mobile Associates (MA) work as a member of a Retail Team of Experts to bring the...

Location

United States , Paris

Salary:

18.00 - 20.00 USD / Hour

T-Mobile

Expiration Date

Until further notice

Requirements

High School Diploma/GED
6 months of customer service and/or sales experience, Retail environment preferred
Passionate customer advocate with the desire to be yourself when connecting and having fun doing it
Competitive drive and proven ability to succeed in a fast-paced sales environment
Willingness to work alongside peers and store leaders, learning and sharing ideas, while serving customers and providing resolutions to issues
Effective at balancing customer needs and performance goals
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Builds proficiency related to serving and selling to our customers, while providing a world-class customer experience and building loyalty
Becomes skilled with and consistently uses digital tools in interactions and onboarding to actively demonstrate how our ever-expanding coverage stacks up in our customer’s neighborhood
Establishes relationships with and partners with T-Mobile employees across channels, including business and customer service to collectively own the customer experience and resolve issues

What we offer

Medical, dental and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off and up to 12 paid holidays
Paid parental and family leave
Family building benefits
Back-up care
Enhanced family support

Parttime

New

Mobile Associate - Retail Sales

This role supports retail operations by engaging customers and facilitating thei...

Location

United States , Highland

Salary:

19.50 - 20.00 USD / Hour

T-Mobile

Expiration Date

Until further notice

Requirements

High School Diploma/GED (Required)
6 months of customer service and/or sales experience, Retail environment (Preferred)
Change Agility (Required)
Communication (Required)
Customer Problem Solving (Required)
Customer Service (Required)
Engaging People (Required)
Multitasking (Required)
Sales (Required)
Teamwork Orientation (Required)

Job Responsibility

Develop proficiency in customer service and sales to deliver personalized technology and service solutions that meet individual needs
Utilize digital tools to demonstrate network coverage, service plans, and product features to enhance customer understanding and engagement
Complete required training to build knowledge of retail processes, systems, and wireless technology innovations
Collaborate with colleagues across channels to support a seamless customer experience and contribute to team initiatives
Also responsible for other duties/projects as assigned by business management as needed

What we offer

Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical insurance
Dental insurance
Vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays

Parttime

New

Marketing Manager

The Marketing Manager is responsible for supporting Aramark’s clients with produ...

Location

United States , Ashland

Salary:

Not provided

Aramark

Expiration Date

Until further notice

Requirements

Requires at least 3 years of product, marketing and / or merchandising experience
Requires people management experience for at least 2-3 direct reports
Requires a bachelor’s degree or equivalent experience in business or marketing
A proven ability to increase sales and measure the impact/return on investment on implementation of programs
A demonstrated ability to be proactive and assertive in identifying and capturing growth opportunities, as well as thinking creatively and strategically
Must have excellent interpersonal skills including presentation, public speaking and client interaction skills
Must be able to efficiently utilize social media and MS Office products to accomplish work tasks
Valid driver’s license and vehicle

Job Responsibility

Conducts Marketing Research and Data collection: Focus groups, surveying, campus mapping, trend development/research, competitive pricing analysis
Strategic Planning, Innovation and Creativity: Develop Marketing Plans
new strategies and tactics for promoting existing or new locations to enhance sales and customer satisfaction
Sales Support: Develop and execute annual campaigns, including oral and written presentations, to various target groups
Support Business Development with Request For Proposal (RFP) responses, sales presentations and Client Business Reviews (CBRs)
Marketing: Coordinate special events, promotions, marketing collateral, media interaction, public relations, website updates, social media marketing
Build Relationships with clients, organization department heads and subgroups/ community groups

New

Quality Technician

The Quality Technician ensures the quality of products and processes by conducti...

Location

United States , Cincinnati

Salary:

Not provided

Hyliion

Expiration Date

Until further notice

Requirements

Minimum of 7 years of experience in quality inspection within a manufacturing environment
Experience in highly technical manufacturing industries (e.g., aerospace, advanced engineered products)
Strong knowledge of quality control methodologies, including inspections, testing, and calibration of measurement tools
Advanced knowledge of Geometric Dimensioning and Tolerancing (GD&T) conformance measuring methods and verification techniques
Exceptional attention to detail with a strong ability to identify defects or deviations from specifications
Excellent problem-solving skills and ability to work independently
Strong communication and interpersonal skills to effectively engage with suppliers and internal teams
Familiarity in using quality management tools and software
Must be willing to travel, approximately 25%
We are not accepting candidates who require sponsorship for this position at this time

Job Responsibility

Perform inspections of incoming materials and components to ensure they meet company specifications and quality standards
Ensure that required documentation from suppliers is provided and accurate
Support First Article Inspections by conducting inspections and documentation checks
Monitor and inspect production processes to ensure adherence to quality standards
Perform product checks on in-house production parts
Identify any deviations and support implementation of corrective actions
Audit the production documentation to ensure that requirements are met
Assist the development of inspection plans and quality control processes to define acceptance and rejection criteria for both vendor supplied and in-house production parts
Maintain and manage test equipment, ensuring it is calibrated, validated, and in proper working order at all times
Work closely with the production and engineering teams to identify opportunities for process improvements and quality enhancements

What we offer

Medical Plans, with PPO or HDHP options
Dental Plans, with buy-up option
Vision Plan
Life Insurance and Accidental Death & Dismemberment Plans, with buy-up options
Short Term Disability, paid for by the company
Long Term Disability, paid for by the company
Flexible Spending Accounts (FSA)
Health Savings Account (HSA)
401k/Roth 401k
Voluntary Accident Plans

Fulltime

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Senior/Staff Machine Learning Engineer, Planning

Job Description

Job Responsibility

Requirements

What we offer

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