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

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, 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

Logistics Support Coordinator

We are seeking a reliable and hands-on Temporary Logistics Support Coordinator t...

Location

United States , Quincy

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

Previous experience in logistics, facilities support, mailroom operations, or office coordination
Strong organizational and multitasking abilities
Comfortable using basic hand tools and performing hands-on setup activities
Ability to lift and move 35–50 pounds regularly
Strong communication and teamwork skills
Ability to travel between multiple work sites as needed
Basic computer skills and experience entering data into ticketing systems.

Job Responsibility

Process and distribute incoming and outgoing daily mail throughout assigned buildings
Deliver incoming packages from UPS, FedEx, and other courier services to agency departments
Set up and break down conference rooms for meetings and agency events
Assist with office modular setup and breakdown activities as needed
Travel to multiple locations including 1 Ashburton Place Boston, 40 Broad Street Boston, and 100 Hancock Street Quincy to support mailroom and logistics operations
Coordinate and communicate effectively with agency staff, vendors, landlords, and EHS IT staff
Support multiple EHS agencies with logistical and facilities-related requests
Enter and maintain service requests within the CA facilities ticketing system
Utilize hand tools including cordless drills, tape measures, and levels for office setup activities
Maintain organized workspaces and assist with general facilities support duties.

Fulltime

New

Cscs Cleaner

We are looking for a reliable and hardworking CSCS Site Cleaner to maintain the ...

Location

United Kingdom , New Malden

Salary:

14.24 - 16.70 GBP / Hour

Randstad

Expiration Date

Until further notice

Requirements

Valid CSCS Card (Essential)
Previous experience in site cleaning or industrial cleaning is preferred
Strong reliability and a proactive 'can-do' attitude
Ability to provide professional references
Valid Right to Work in the UK

Job Responsibility

Welfare Maintenance: Thorough cleaning of site offices, meeting rooms, and communal canteen areas
Hygiene Services: Cleaning and disinfecting site toilets and drying rooms
Stock Management: Monitoring and replenishing essentials like soap, hand sanitizer, and blue roll
General Housekeeping: Vacuuming, mopping floors, dusting surfaces, and emptying waste bins
Safety Compliance: Ensuring all cleaning chemicals are stored correctly according to COSHH guidelines

What we offer

Competitive hourly rate (£14.24 - £16.70)
Weekly pay via Randstad
Potential for long-term work on this or future local projects

Fulltime

New

Field Service Engineer II

Builds and maintains relationships with customers to retain North American custo...

Location

United States , Nashville

Salary:

40.00 - 48.00 USD / Hour

werfen

Expiration Date

Until further notice

Requirements

Associates degree in Electronics, Medical Technology, Biomedical Engineering or related industry training required
Equivalent experience in lieu of a degree will be considered
Minimum of 3 years of experience in a technical/support role (industry, military and/or customer facing)
Working knowledge of personal computers and Windows Operating systems
Working knowledge of Microsoft Office 365 preferred
Ability to participate in rotational on-call coverage to provide support as required
Ability to work extended and flexible workdays to ensure customer interactions are resolved
Ability to lift up to 50 lbs
Valid driver's license required

Job Responsibility

Provides customer support with on-site visits to perform and complete installations, cost effective repairs, preventative maintenance, and product enhancement service activities on Werfen instruments and systems
Diagnoses, analyzes, troubleshoots, and fault isolates instrument symptoms and issues to determine failure and implement thorough corrective action
Delivers a high level of customer service to build and maintain customer relationships to ensure customer retention
Acts as company liaison with customers by demonstrating the highest level of professionalism, commitment, communication, and follow-up
Escalates and communicates unresolved technical issues
Advises customers regarding the proper orientation, maintenance and troubleshooting of Werfen instruments and systems
Collaborate and communicate with all Commercial Operations colleagues such as the Sales and Applications roles, sharing customer situations, product information and lead generations
Promotes service contracts and follows-up on service contract renewal through customer relationships
Ensures compliance with all Quality, Regulatory, Service & Support policies, procedures, work instructions and records, ensuring all records are compliant, complete and accurate
Responsible for accurately documenting service activities performed in a customer service report in a timely manner

What we offer

Medical insurance
Dental insurance
Vision insurance
401k plan retirement benefits with an employer match
Paid vacation
Paid sick leave

Fulltime

New

Snowflake Python Developer

We are seeking an experienced Snowflake Python Developer to design, develop, and...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Python development
Experience developing automated data exchange and integration solutions
Knowledge of Snowflake database architecture and development
Experience working with Snowpipe and Snowflake data ingestion processes
Experience building and supporting Snowflake User Defined Functions (UDFs)
Strong analytical and problem-solving skills
Excellent communication and collaboration abilities

Job Responsibility

Develop and maintain automated solutions for exchanging data with external partners
Design, build, and optimize solutions within Snowflake database environments
Implement and support Snowpipe for automated data ingestion and processing
Develop and maintain User Defined Functions (UDFs) in Snowflake
Create scalable and efficient Python-based data processing solutions
Support custom user interface integrations and front-end connectivity within Snowflake solutions
Collaborate with business users, analysts, and technical teams to gather requirements and deliver solutions
Troubleshoot performance issues and optimize Snowflake workloads
Develop and maintain technical documentation and support production deployments
Participate in testing, debugging, and ongoing support activities

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:
January 11, 2026

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