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

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

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

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

New

Primary Teaching Assistant

Are you passionate about shaping young minds? As a Teaching Assistant in primary...

Location

United Kingdom , Caterham

Salary:

Not provided

Randstad

Expiration Date

May 22, 2026

Requirements

communication
teaching assistant experience
passionate
positive
flexible
hold two work references
UK work eligibility

Job Responsibility

providing crucial support to the class teacher
working with a child one-on-one or in small groups
preparing the classroom and aiding in the learning process

What we offer

Convenient Mobility: Ideal for drivers due to diverse school locations
Versatile Exposure: Work across various schools for diverse experiences
Weekly Pay: Enjoy hassle-free weekly payments with fantastic daily rates
Effortless Hours: Submit your hours seamlessly through our time sheet app
Rewards Await: Earn £300 through our Refer a Friend scheme
Dedicated Support: Benefit from a consultant deeply connected with supported schools
Personalised On boarding: Receive tailored assistance for compliance
Compliance Assistance: Support for DBS on the update service or help to obtain one
career
work-life

Fulltime

New

Primary Teaching Assistant

Are you passionate about shaping young minds? As a Teaching Assistant in primary...

Location

United Kingdom , Caterham

Salary:

Not provided

Randstad

Expiration Date

May 21, 2026

Requirements

Non Teaching
communication
teaching assistant experience

Job Responsibility

Providing crucial support to the class teacher
Working with a child one-on-one or in small groups
Preparing the classroom
Aiding in the learning process

What we offer

Convenient Mobility: Ideal for drivers due to diverse school locations
Versatile Exposure: Work across various schools for diverse experiences
Weekly Pay: Enjoy hassle-free weekly payments with fantastic daily rates
Effortless Hours: Submit your hours seamlessly through our time sheet app
Rewards Await: Earn £300 through our Refer a Friend scheme
Dedicated Support: Benefit from a consultant deeply connected with supported schools
Personalised On boarding: Receive tailored assistance for compliance
Essential Traits: Be passionate, positive, flexible, and hold two work references
Compliance Assistance: Support for DBS on the update service or help to obtain one, and UK work eligibility

Fulltime

New

Long term supply teacher

Transform lives through education as a caring and dedicated teacher, making a la...

Location

United Kingdom , Caterham

Salary:

Not provided

Randstad

Expiration Date

Until further notice

Requirements

QTS/PGCE qualification required
comprehensive working history and two recent working references
DBS on the update service or readiness to obtain one
eligibility to work in the UK
passion and positivity for teaching
good communication skills
key stage 1 experience

Job Responsibility

Full teaching responsibilities within your placement
marking, planning, and teaching throughout extended periods
payment to scale for placements surpassing 6 weeks
full-time availability dedicated to teaching

What we offer

Refer a friend bonus scheme
weekly pay with competitive daily rates
simple hour submissions through user-friendly app
£300 Refer a Friend bonus
dedicated consultant
personalised assistance for compliance and seamless onboarding
career
work-life

Fulltime

New

Supply Sen Teaching Assistant

Are you passionate about shaping young minds? As a Teaching Assistant in primary...

Location

United Kingdom , Caterham

Salary:

Not provided

Randstad

Expiration Date

May 21, 2026

Requirements

Non Teaching
121 teaching experience
communication
SEN experience
teaching assistant experience

What we offer

Career
Work-Life balance
Refer a friend bonus scheme
Dedicated support
Personalised onboarding
Compliance assistance

Fulltime

Senior/Staff Machine Learning Engineer, Planning

PlusAI

Location:
United States , Santa Clara

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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