Research Engineer Job at eGain (Sunnyvale)

Research Engineer

As a Research Engineer at Mercor, you’ll work at the intersection of engineering...

Location

United States , San Francisco

Salary:

130000.00 USD / Year

Mercor

Expiration Date

Until further notice

Requirements

Strong applied research background, with a focus on post-training and/or model evaluation
Strong coding proficiency and hands-on experience working with machine learning models
Strong understanding of data structures, algorithms, backend systems, and core engineering fundamentals
Familiarity with APIs, SQL/NoSQL databases, and cloud platforms
Ability to reason deeply about model behavior, experimental results, and data quality
Excitement to work in person in San Francisco, five days a week (with optional remote Saturdays), and thrive in a high-intensity, high-ownership environment

Job Responsibility

Work on post-training and RLVR pipelines to understand how datasets, rewards, and training strategies impact model performance
Design and run reward-shaping experiments and algorithmic improvements (e.g., GRPO, DAPO) to improve LLM tool-use, agentic behavior, and real-world reasoning
Quantify data usability, quality, and performance uplift on key benchmarks
Build and maintain data generation and augmentation pipelines that scale with training needs
Create and refine rubrics, evaluators, and scoring frameworks that guide training and evaluation decisions
Build and operate LLM evaluation systems, benchmarks, and metrics at scale
Collaborate closely with AI researchers, applied AI teams, and experts producing training data
Operate in a fast-paced, experimental research environment with rapid iteration cycles and high ownership

What we offer

Generous equity grant vested over 4 years
A $20K relocation bonus (if moving to the Bay Area)
A $10K housing bonus (if you live within 0.5 miles of our office)
A $1K monthly stipend for meals
Free Equinox membership
Health insurance

Fulltime

Research Engineer

As R&D Engineer, you will be responsible for projects of varying size and comple...

Location

United States , Houston

Salary:

90000.00 - 105000.00 USD / Year

Celeros Flow Technology

Expiration Date

Until further notice

Requirements

Strong background in Valve design, in theory, and practical application, required, Gate valves, Axial valves. Plus, Control valves, Desuperheaters, Bypass valves
Knowledge of ASME B16.34, API 6D, and industry standards for the valve industry
Proven ability to interact with all levels of employees from senior managers down
Outstanding relationship building skills with the ability to effectively communicate, verbally and in writing, at every level, strong listening skills
Ability to be resourceful, think creatively and analytically, problem-solve, experiment, and adapt, and make bold decisions and recommendations
Determine, suggest, and implement technically feasible and economically viable alternatives for current product offering and/or new product
Analyze and evaluate how to improve a system and/or equipment's sustainability under continued operation, maintenance, and unexpected change
Develop design changes to resolve operational issues, introduce new materials and revise product, process and test specifications to enhance product quality, design integrity, reliability and manufacturability
Ability to work in a fast-paced environment and thrive under pressure
Ability to manage and prioritize competing tasks and projects

Job Responsibility

Coordinate work with an international team of designers, mechanical and simulation engineers in our Bangalore Design Center
Collaborate with internal manufacturing partners, contract manufacturers, designers, and product specialists to optimize designs for manufacturability
Design and develop new products utilizing advanced modeling tools and engineering principles
Support VAVE activities for existing product lines and use information as the basis for NPD
Utilize CAD (Computer-Aided Design) or CAE (Computer-Aided Engineering) systems to model new designs and produce detailed engineering drawings
Use simulation methods (e.g., FEA, CFD) for accurate performance predictions and reduced development cycles
Interface with Product Managers, Applications Engineers, Manufacturing Engineers, Purchasing, and other functions during all phases of product development
Apply engineering analysis to make data-driven design decisions
Generate design manuals for new products and support the creation of technical documentation
Develop and review design prototypes, perform tests, and finalize product design to facilitate production

What we offer

Health Insurance (effective on start date)
Dental/Vision (effective on start date)
Flexible Spending Accounts/Health Savings Accounts
Life Insurance/Disability/Accident/Critical Illness
401(k) Savings Plan with generous company match
Tuition Reimbursement
Paid time off/Generous Holiday Schedule

Fulltime

Research Engineer

Be Part of the Future of Manufacturing. The Research Engineer will play a key ro...

Location

United Kingdom , Peterborough

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Degree in Engineering, Physics, Mathematics, Materials Science, or a related technical discipline
Hands-on experience in experimental testing, product development, or technical projects (industry, research, or advanced academic work)
Experience designing and executing structured tests and prototypes, with the ability to interpret results critically
Strong analytical skills, including the ability to manage, manipulate, and analyse data effectively
Familiarity with verification, validation, and structured problem-solving methodologies
Strong written communication skills, including technical documentation and reporting
A curious, first-principles mindset with enthusiasm for engineering innovation and 3D printing technology

Job Responsibility

Test and evaluate new products (3D resins, printers, hardware, and software) to assess performance, robustness, and application suitability
Assist with the design and execute structured experimental programmes to optimise material–process interactions and develop new applications
Prototype, test, and validate novel technologies and product concepts
Investigate and understand the scientific and engineering fundamentals underpinning Photocentric’s technologies, translating theory into practical improvements
Contribute to scaling research concepts into manufacturable solutions
Analyse data using a statistical mindset to drive insight, root cause understanding, and process optimisation
Collaborate cross-functionally with chemistry, manufacturing, quality, commercial, and software teams to deliver integrated solutions
Maintain detailed technical documentation, produce reports, and contribute to intellectual property generation, including technical disclosures and patent drafting
Stay informed on relevant advancements in materials science and additive manufacturing

What we offer

Access to state-of-the-art 3D printing and prototyping tools
Enhanced pension contributions
A minimum of 24 days holiday + bank holidays
Free EV charging
Free on-site gym
A collaborative, supportive, and sociable working culture
The chance to grow your career in a world-leading, award-winning tech company

Fulltime

Research Engineer

We are seeking an AI Research Engineer to help design, train, evaluate, and opti...

Location

United States , San Francisco

Salary:

Not provided

Chai Discovery

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
Strong proficiency in programming languages such as Python and deep learning frameworks like PyTorch
Deep understanding of operating system internals
Experience with HPC infrastructure such as Slurm and Kubernetes
Experience with performance engineering and profiling for CPU and CPU workloads
Experience writing, building, and maintaining large-scale ETL pipelines

Job Responsibility

Develop and optimize all the infrastructure & tooling upon which our AI research depends
Collaborate with AI researchers to understand, implement and optimize new research directions
Integrate AI models into production systems, ensuring scalability and reliability

What we offer

Frontier technology: work on the technologies that promises to fundamentally change how new therapeutics are created
World-class people: work with world-renowned leaders in the AI x Biology ecosystem
Velocity and ownership: we move incredibly fast and liberally distribute ownership, which means continuous learning and career growth opportunities are guaranteed
Strong culture and mission: we foster a supportive culture that is mission-driven and high-energy
Highly competitive compensation: we attract the best talent and compensate them accordingly

Fulltime

Research Engineer

As a Research Engineer here, you will be responsible for building AI systems tha...

Location

United States , San Francisco

Salary:

250000.00 - 445000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Strong programming skills
Experience working in large distributed systems
Excited about OpenAI’s approach to research

Job Responsibility

Building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance
Designing, implementing, and improving a massive-scale distributed machine learning system
Writing bug-free machine learning code
Building the science behind the algorithms employed

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Research Engineer

Liquid Labs gives that work a formal home; an internal research accelerator driv...

Location

United States , San Francisco; Boston

Salary:

Not provided

Liquid AI

Expiration Date

Until further notice

Requirements

Work fluently in Python and frameworks such as PyTorch, JAX, or TensorFlow
Have experience in machine learning research or production-grade ML systems
Move fast from paper to prototype — curiosity backed by precision
Care about efficiency, scalability, and elegant system design as scientific principles
Value small, deep-technical teams where impact is immediate and measurable
Have a track record of publication in tier-1 venues (NeurIPS, ICML, ICLR, CVPR, ACL, or equivalent), demonstrating original contribution and research rigor

Job Responsibility

Design and implement novel architectures, training methods, and inference strategies to redefine what efficient AI can do
Operate at the intersection of research and engineering — translating scientific ideas into working systems, publishing where it drives the field forward, and deploying where it changes what’s possible

Fulltime

Research Engineer

We’re looking for a Research Engineer to build the intelligent systems that powe...

Location

United States , New York

Salary:

200000.00 - 300000.00 USD / Year

Antimetal

Expiration Date

Until further notice

Requirements

4+ years of experience in applied ML, research engineering, preferably at a company shipping production AI systems
Production experience contributing to agentic/LLM systems, including multi-step reasoning, reinforcement learning, fine-tuning, and orchestration
Proven experience bringing work from prototype to production, using data and experimentation to drive product and architectural decisions
Strong on ML fundamentals: statistical modeling, probabilistic methods, time-series analysis, evaluation methodology
Real world expertise in one area of applied ML: search, statistical modeling, NLP, etc
Experience constructing and running end-to-end evaluation pipelines with real world data
Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools
Strong problem-solving skills, with a focus on creating highly maintainable, scalable code
Comfortable with ambiguity and iterative development, prototyping, and adapting quickly to feedback

Job Responsibility

Experiment, Evaluate, Iterate, Ship: Run experiments across our research areas, analyze results, validate what works, and take successful approaches to production
Build Evaluation Infrastructure: Partner with platform on live and offline evaluation pipelines, benchmarks, and synthetic data generation
Explore Research Directions: Apply and develop techniques from best-in-class AI Agents, ML, and SRE research to our problem domain
Collaborate Across Teams: Work with platform and product to integrate capabilities and productionize prototypes into scalable and reliable services

What we offer

Pay & ownership — Competitive salary with generous equity grants
Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits
Unlimited PTO — Take the time you need to recharge
Dinner on late nights — Working late? Dinner is on us
Fitness stipend — Monthly support for your health and wellness
Tools of the trade — Any equipment you need to do your best work
Commute perks — Citi Bike + train benefits

Fulltime

Research Engineer

We’re looking for Research Engineers who enjoy getting their hands dirty: buildi...

Location

Canada , Toronto

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Have a strong engineering background in machine learning, NLP, or related areas (through a Master’s degree, industry experience, or equivalent hands-on work)
Enjoy writing clean, reliable code and building systems that others can use and extend
Are comfortable experimenting, running ablations, analyzing results, and iterating quickly
Have experience with deep learning frameworks and model optimization techniques (PyTorch, distributed training, RLHF, finetuning, evaluation frameworks)
Like collaborating closely with researchers and translating ideas into practical implementations
Are excited to grow your research instincts while staying grounded in engineering excellence

Job Responsibility

Building experiments
Debugging models
Scaling training pipelines
Turning research ideas into working systems
Work closely with scientists and other engineers to implement new methods, run large-scale experiments, and help shape the infrastructure that supports our research programs

What we offer

An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Fulltime

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