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

Home Furnishing Consultant

Location

India , New Delhi

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Strong understanding of home furnishing trends, interior design, and the IKEA way of presenting products
Broad knowledge of IKEA's product range, store communication, and mechanical sales system
Experience in identifying opportunities for cross-selling, upselling, and add-ons
Ability to communicate effectively with customers, understand their needs, and create tailored furnishing solutions
Proficiency in design-related software such as AutoCAD
Hands-on approach to tasks with strong attention to detail and ability to meet deadlines
Collaborative mindset with willingness to work as part of a team

Job Responsibility

Stay up to date with home furnishing trends and customer needs to create inspiring and functional home furnishing solutions
Engage with customers to provide professional whole-room design consultations, ensuring a seamless and enjoyable buying experience
Collaborate with internal teams, including Customer Relations and your designated trinity team, to effectively implement daily work plans
Use global tools and best practices to ensure high-quality, efficient, and simple design solutions
Contribute innovative ideas in workshops by leveraging knowledge of retail, competitors, and customer insights
Guide customers through the purchasing, design, and after-sales processes for a smooth and convenient experience
Maintain IKEA's brand identity, values, and vision while delivering outstanding service

New

Swim Instructor

We have a mission to teach kids how to swim and be safer, in and around the wate...

Location

United States , Warson Woods

Salary:

14.00 - 16.00 USD / Hour

Goldfish Swim School

Expiration Date

Until further notice

Requirements

Ability to work with children, no formal swim experience required, full training provided
Must be willing to work in the water for 3-4 hours on some shifts
Must be able to work 1 weekend day (Saturday or Sunday- 4 hour shift) and some evenings (until 7:30)
Excellent interpersonal communication and organizational skills
MUST WANT TO HAVE FUN!
Ellis Lifeguard Certification required within the first 90 days of hire. (We provide In-House certification)
Age 15+

Job Responsibility

Instructs students on water safety and proper swim techniques based on thorough knowledge of the Goldfish Swim School curriculum

What we offer

Set work schedule, with changes quarterly to accommodate for class schedules if needed
Leadership opportunities
BCBS PPO & HSA Health Insurance with options for Dental & Vision (Full Time)
Accrued PTO from the Start
Valuable work experience
Increased social opportunities
Future references/referrals
Regular increases and bonuses
Paid training
Weekly pay day- start this week, get paid next week!

New

Clinical Receptionist

Hey Baby 4D is a leading private 4D ultrasound clinic franchise, and we are deli...

Location

United Kingdom , Sunderland

Salary:

12.71 GBP / Hour

HB4D Limited

Expiration Date

Until further notice

Requirements

Experience in reception or administrative roles is essential, with a proven ability to deliver exceptional customer service
Experience in a clinical environment is preferred
Proficiency in IT systems, with strong verbal and written communication skills
A satisfactory Enhanced DBS (adult workforce) check will be required before employment begins and must be maintained throughout your employment

Job Responsibility

Booking appointments for customers via phone and in person
Welcoming customers and assisting with queries
Promoting sales of extras, offering heartbeat bears, cannons, keyrings etc
Processing payments promptly (cash and card)
Acting as a Chaperone during scans (training provided)
Maintaining accurate records and completing necessary paperwork
Noting and effectively relaying customer feedback to management
Managing customer messages through the online chat system
Following procedures of Opening and Closing clinic
The clinic must be kept clean at all times and daily, weekly and monthly cleaning must me done and documented

Parttime

New

Swim Instructor

We have a mission to teach kids how to swim and be safer, in and around the wate...

Location

Anderson

Salary:

12.00 - 15.00 USD / Hour

Goldfish Swim School

Expiration Date

Until further notice

Requirements

Ability to work with children, no formal swim experience required, full training provided
Must be willing to work in the water for 3-4 hours on some shifts
Must be able to work 1 weekend day (Saturday or Sunday- 4 hour shift) and some evenings (until 7:30)
Excellent interpersonal communication and organizational skills
MUST WANT TO HAVE FUN!
Age 15+

Job Responsibility

Instructs students on water safety and proper swim techniques based on thorough knowledge of the Goldfish Swim School curriculum

What we offer

BCBS PPO & HSA Health Insurance with options for Dental & Vision
Accrued PTO from the Start
Valuable work experience
Increased social opportunities
Future references/referrals
Regular increases and bonuses
Paid training
Weekly pay day
Free lessons for siblings or children
Leadership opportunities

Parttime

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Senior/Staff Machine Learning Engineer, Planning

Job Description

Job Responsibility

Requirements

What we offer

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