57,140 Algorithm Developer jobs in the United States

• Algorithm Implementation: Leverage proprietary software platform to implement reconstruction algorithms on GPUs using C++, OpenCL, CUDA, and OneAPI.
• Platform Conversion: Convert existing OpenCL/CUDA algorithms between different platforms to ensure compatibility and performance.
• Quality Assurance: Develop and execute quality assurance testing for ported algorithms, benchmark results, and ensure high performance.
• Performance Troubleshooting: Troubleshoot algorithm performance issues, perform GPU profiling to identify and resolve performance bottlenecks.
• Problem Investigation: Investigate any problems or bugs encountered during development or testing, document findings, and facilitate effective troubleshooting and resolution.
• Support and Maintenance: Provide support to address and resolve bugs and issues reported during testing, ensuring smooth and efficient software operation.
• Process Improvement: Incorporate industry trends to streamline and improve development processes, ensuring process excellence.

Iron Systems is an innovative, customer-focused provider of custom-built computing infrastructure platforms such as network servers, storage, OEM/ODM appliances & embedded systems. For more than 15 years, customer have trusted us for our innovative problem solving combined with holistic design, engineering, manufacturing, logistic and global support services.

Job Title: Algorithm Developer IV
Location: US - CA - Menlo Park

Job Description: Machine Learning Engineer (Algorithm Developer)

• we are embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution.
• By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.
• The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems.
• You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams.
• You will work alongside the world's leading engineers and researchers to solve some of the most exciting and challenging problems in the industry.

• Adapt standard machine learning methods leveraging modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
• Suggest, collect and synthesize requirements from XFN teams Code deliverables in tandem with the engineering team

• 6+ years of experience in software engineering or a relevant field. 3+
• 6+ years of experience if you have a PhD
• 2+ years of experience in one or more of the following areas: machine
• 2+ learning, recommendation systems, pattern recognition, data mining,
• 2+ artificial intelligence, or a related technical field
• Experience with scripting languages such as Python, Javascript or Hack
• Experience with developing machine learning models at scale from inception to business impact
• Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
• Experience building and shipping high quality work and achieving high reliability
• Track record of successful cross-functional partnerships
• Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

• Masters degree or PhD in Computer Science or another ML-related field
• Exposure to architectural patterns of large scale software applications
• Experience with scripting languages such as Pytorch and TF

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

The Role:

The Quantitative Execution Services team is seeking an Execution Algorithm Developer to further improve the architecture of WorldQuant's execution platform across a variety of cash and derivative products. You will be responsible for leading, building and maintaining the algorithm and SOR frameworks, including the short-term predictive models that drive our investment process on our innovative infrastructure with the goal of optimizing trading efficiency.
What You'll Bring:

• Excellent C++ skills on a Linux platform, preferably with experience in low-latency programming
• Experience in designing, implementing electronic algorithmic trading system, for purpose such as execution, market making, or high-frequency trading
• Knowledge of market-microstructure and experience in market data (L1/2/3), for cash equity or other markets
• Experience with predictive signal research and/or implementation
• Strong skills in Python and databases
• Experience with Smart Order Routing (SOR) and comprehensive knowledge of liquidity pools preferred

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
  • twenty vacation days that are pro-rated based on the employee's start date, at an accrual of 1.67 days per month,
  • three personal days, and
  • ten sick days.
• Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

• Initiate and drive innovation of various algorithm development initiatives ranging from event detection, ML/AI and signal processing supporting medical hardware technologies in companies core indications (epilepsy/sleep apnea/depression).
• Collaborating with cross-functional teams, internal and external stakeholders, gather information, needs and wants to meet algorithm development objectives.
• Act as a source of knowledge and subject matter expertise in algorithms, signal processing, and therapeutic and/or diagnostic technologies.
• Defining and decomposing design inputs and outputs of algorithmic functions and tasks, to enable each applicable function to assess, verify and validate algorithm performance.
• Analyzing and comparing technological tradeoffs to enable cross-functional decisions including, for example, algorithm sensitivity, specificity and false detections, algorithm power consumption, algorithm processing speed, and if applicable design and sensor/hardware evaluations.
• Research various subjects ranging from published clinical studies, sensor technologies, hardware, medical scholar articles and therapies.
• Developing algorithm design verification and validation strategies in collaboration with functional owners to demonstrate that design outputs meet algorithm performance requirements.
• Investigating, researching, planning, implementing and/or leading the developments of algorithms, while tracking and documenting the algorithm full development cycle.

• Meet LivaNova Innovation milestones including developing algorithms that improve current product functionality, develop features and products that enhance and improve therapies and research new therapies and technologies that can better patient and/or caregiver quality of life.
• Comply with LivaNova Quality Management procedures and applicable regulations and standards resulting in quality records.
• Develop and document full cycle algorithm design from conception to execution and validation.
• Collaborate with various disciplines such as marketing, Clinical, clinical engineering, hardware and firmware to define algorithms and technologies that support patients and physicians needs that also comply with system limitations such as energy consumption, memory etc.
• Support verification and validation activities both for new and existing algorithms and technologies.
• Contribute to risk management including assessing algorithm performance and methods to improve and/or medicate non optimal performance.
• Lead design verification strategies along side with verification and validation teams to create test bench frame works to challenge algorithms and technologies and make sure performance is up to specified requirements.
• Contribute to the intellectual property position of the company by recording and submitting invention proposals.
• Maintain current knowledge of competitive and state of the art technologies and algorithms.
• Recognize and analyze technical problems and provide possible solutions, such as automation, pattern recognition, statistical analysis and various sensor technologies.
• Remain UpToDate in both clinical research and technologies associated with LivaNova therapies and technology.
• Perform other duties as may be requested by management.
• Work daily with a high level of integrity and promote a diverse and inclusive workplace culture in both people and thought consistent with LivaNova values.

• Master of Science (BS) or higher degree in an engineering discipline or equivalent.
• Preferred degree in Physics, Applied Physics, Biophysics, Biomedical Engineering, Clinical Engineering, Electrical Engineering, Software Engineering or equivalent.
• Preferred academic research background.

• 7+ years of relevant professional experience with a Master's degree or 4+ years of relevant professional experience with a PhD.
• Matlab programing, Python programing.
• Machine learning, pattern recognition, signal processing, statistical analysis, image processing.
• Engineering/scientific research.
• Preferred experience in algorithm execution in hardware products.
• Preferred algorithm implementation in C/C++ and/or embedded firmware.
• Preferred prototyping development and design of proof of concept/ feasibility

• Mild travel may be required (up to 5%)

• A reasonable estimate of the annual base salary for this position is $130,000 - $150,000 plus discretionary annual bonus. Pay ranges may vary by location.

• Health benefits - Medical, Dental, Vision
• Personal and Vacation Time
• Retirement & Savings Plan (401K)
• Employee Stock Purchase Plan
• Training & Education Assistance
• Bonus Referral Program
• Service Awards
• Employee Recognition Program
• Flexible Work Schedules

Good things are happening at Berkshire Hathaway GUARD Insurance Companies. We provide Property & Casualty insurance products and services through a nationwide network of independent agents and brokers. Our companies are all rated A+ “Superior” by AM Best (the leading independent insurance rating organization) and ultimately owned by Warren Buffett’s Berkshire Hathaway group – one of the financially strongest organizations in the world! Headquartered in Wilkes-Barre, PA, we employ over 1,000 individuals (and growing) and have offices across the country. Our vision is to be a leading small business insurance provider nationwide.

Founded upon an exceptional culture and led by a collaborative and inclusive management team, our company’s success is grounded in our core values:  accountability, service, integrity, empowerment, and diversity. We are always in search of talented individuals to join our team and embark on an exciting career path!

Benefits:

We are an equal opportunity employer that strives to maintain a work environment that is welcoming and enriching for all. You’ll be surprised by all we have to offer!

• Competitive compensation
• Healthcare benefits package that begins on first day of employment
• 401K retirement plan with company match
• Enjoy generous paid time off to support your work-life balance plus 9 ½ paid holidays
• Up to 6 weeks of parental and bonding leave
• Hybrid work schedule (3 days in the office, 2 days from home)
• Longevity awards (every 5 years of employment, receive a generous monetary award to be used toward a vacation)
• Tuition reimbursement after 6 months of employment
• Numerous opportunities for continued training and career advancement
• And much more!

We’re looking for a collaborative and detail-oriented Insurance Rating Algorithm Developer  to join our team. In this role, you’ll design, implement, and refine rating algorithms that help determine insurance premiums and rates. Your work will directly support our mission to deliver fair, efficient, and scalable insurance solutions.

You’ll be working closely with our priority rating system , contributing to its ongoing development and optimization. This system is central to our pricing strategy and product offerings, and your expertise will help ensure it remains accurate, adaptable, and aligned with regulatory standards.

Key Responsibilities:

• Develop, test, and optimize insurance rating algorithms.
• Ensure rating algorithms are accurate, efficient, and scalable.
• Collaborate with business analysts and cross-functional teams to align rating algorithmic solutions with project goals.
• Document methodologies and technical decisions clearly and accessibly.
• Continuously improve rating algorithm performance based on feedback and data insights.

• Proficiency in at least one programming language (e.g., SQL, C#).
• Experience with ISO rating algorithms
• Strong understanding of data structures and logical reasoning.
• Experience with systems like Duck Creek, Guidewire, and ERC
• Ability to manage multiple priorities in a dynamic environment.
• Comfortable working both independently and as part of a team.
• Strong attention to detail and commitment to quality.
• Experience in Property and Casualty insurance is a plus.
• Associate degree or equivalent experience welcomed.
• Familiarity with Agile methodologies (e.g., Scrum, Kanban) is beneficial.

We are exclusively engaged with an outdoor robotics client to help find a Senior Algorithm Developer to design and implement advanced algorithms for path planning, obstacle avoidance, and autonomous navigation. This role focuses on ensuring their robots can navigate complex and dynamic construction environments safely and efficiently. This person will work closely with a multidisciplinary team to bring robust and intelligent navigation capabilities to their systems.

Key Responsibilities

• Develop and optimize path planning algorithms for dynamic construction environments.
• Design and implement real-time obstacle avoidance techniques using sensor data from LiDARs, cameras, and IMUs.
• Implement motion planning algorithms that consider constraints such as terrain, robot kinematics, and dynamic obstacles.
• Integrate and test planning and navigation modules on robotic hardware.
• Develop safety mechanisms and fallback strategies for navigation in unpredictable environments.
• Optimize algorithms for performance on embedded systems and real-time constraints.
• Document algorithms, test plans, and system designs.

• 5+ years developing path planning, motion planning, or navigation algorithms for autonomous systems.
• Proficiency in C++ and Python.Strong background in path planning algorithms.
• Experience with obstacle avoidance techniques.Familiarity with ROS (Robot Operating System) and real-time navigation stacks.
• Experience with sensor data integration (LiDAR, cameras, GPS, IMU) for navigation tasks.
• Strong understanding of optimization techniques and algorithm performance tuning.
• Proficiency with development tools (Git, JIRA) and simulation tools.
• Strong problem-solving abilities, attention to detail, and the ability to work collaboratively in a dynamic environment.

• Experience with multi-robot path planning and coordination.
• Experience deploying navigation systems in real-world environments (construction, industrial, or field robotics).

Join us today and make a difference in people's lives!

LivaNova is a global medical technology company built on nearly five decades of experience and a relentless commitment to improving the lives of patients around the world. Our advanced technologies and breakthrough treatments provide meaningful solutions for the benefit of patients, healthcare professionals, and healthcare systems. The company is listed on the NASDAQ stock exchange under the ticker symbol " LIVN ." LivaNova is headquartered in London (UK) with a presence in over 100 countries and a team of more than 3,000 employees worldwide.

The Senior Algorithm Developer contributes to the research and development of medical device products in support of LivaNova Innovation objectives. The purpose of this position is to develop algorithms for commercial products that meet customers' needs and expectations of performance, safety and quality by applying thorough research and algorithm development principles. Additionally, the position leverages algorithm development principles for data analysis, feature extraction and event detection and develops prototype algorithm designs for potential features concluding in creation and execution of feasibility test plans.

Primary Activites

• Initiate and drive innovation of various algorithm development initiatives ranging from event detection, ML/AI and signal processing supporting medical hardware technologies in companies core indications (epilepsy/sleep apnea/depression).

• Collaborating with cross-functional teams, internal and external stakeholders, gather information, needs and wants to meet algorithm development objectives.

• Act as a source of knowledge and subject matter expertise in algorithms, signal processing, and therapeutic and/or diagnostic technologies.

• Defining and decomposing design inputs and outputs of algorithmic functions and tasks, to enable each applicable function to assess, verify and validate algorithm performance.

• Analyzing and comparing technological tradeoffs to enable cross-functional decisions including, for example, algorithm sensitivity, specificity and false detections, algorithm power consumption, algorithm processing speed, and if applicable design and sensor/hardware evaluations.

• Research various subjects ranging from published clinical studies, sensor technologies, hardware, medical scholar articles and therapies.

• Developing algorithm design verification and validation strategies in collaboration with functional owners to demonstrate that design outputs meet algorithm performance requirements.

• Investigating, researching, planning, implementing and/or leading the developments of algorithms, while tracking and documenting the algorithm full development cycle.

General Responsibilities

• Meet LivaNova Innovation milestones including developing algorithms that improve current product functionality, develop features and products that enhance and improve therapies and research new therapies and technologies that can better patient and/or caregiver quality of life.

• Comply with LivaNova Quality Management procedures and applicable regulations and standards resulting in quality records.

• Develop and document full cycle algorithm design from conception to execution and validation.

• Collaborate with various disciplines such as marketing, Clinical, clinical engineering, hardware and firmware to define algorithms and technologies that support patients and physicians needs that also comply with system limitations such as energy consumption, memory etc.

• Support verification and validation activities both for new and existing algorithms and technologies.

• Contribute to risk management including assessing algorithm performance and methods to improve and/or medicate non optimal performance.

• Lead design verification strategies along side with verification and validation teams to create test bench frame works to challenge algorithms and technologies and make sure performance is up to specified requirements.

• Contribute to the intellectual property position of the company by recording and submitting invention proposals.

• Maintain current knowledge of competitive and state of the art technologies and algorithms.

• Recognize and analyze technical problems and provide possible solutions, such as automation, pattern recognition, statistical analysis and various sensor technologies.

• Remain UpToDate in both clinical research and technologies associated with LivaNova therapies and technology.

• Perform other duties as may be requested by management.

• Work daily with a high level of integrity and promote a diverse and inclusive workplace culture in both people and thought consistent with LivaNova values.

Education

• Master of Science (BS) or higher degree in an engineering discipline or equivalent.

• Preferred degree in Physics, Applied Physics, Biophysics, Biomedical Engineering, Clinical Engineering, Electrical Engineering, Software Engineering or equivalent.

• Preferred academic research background.

Experience

• 7+ years of relevant professional experience with a Master's degree or 4+ years of relevant professional experience with a PhD.

• Matlab programing, Python programing.

• Machine learning, pattern recognition, signal processing, statistical analysis, image processing.

• Engineering/scientific research.

• Preferred experience in algorithm execution in hardware products.

• Preferred algorithm implementation in C/C++ and/or embedded firmware.

• Preferred prototyping development and design of proof of concept/ feasibility

Travel Requirements

• Mild travel may be required (up to 5%)

Pay Transparency

• A reasonable estimate of the annual base salary for this position is $130,000 - $150,000 plus discretionary annual bonus. Pay ranges may vary by location.

Employee benefits include:

• Health benefits - Medical, Dental, Vision

• Personal and Vacation Time

• Retirement & Savings Plan (401K)

• Employee Stock Purchase Plan

• Training & Education Assistance

• Bonus Referral Program

• Service Awards

• Employee Recognition Program

• Flexible Work Schedules

Valuing different backgrounds:

LivaNova values equality and diversity. We are committed to ensuring that our recruitment process is fair, transparent and free from unlawful discrimination. Our selection process is driven by the key demands/requirements for the role rather than bias or discrimination on the basis of a candidate's sex, gender identity, age, marital status, veteran status, non-job-related disability/handicap or medical condition, family status, sexual orientation, religion, color, ethnicity, race or any other legally protected classification.

Notice to third party agencies:

Please note that we do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Services Agreement, we will not consider, or agree to, payment of any referral compensation or recruiter fee. In the event that a recruiter or agency submits a resume or candidate without a previously signed agreement, we explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

Beware of Job Scams:

Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons posing as LivaNova recruiters or employees. The scammers may attempt to solicit confidential, personal information, such as a social security number, or your financial information. LivaNova will never ask for fees prior/during/after the application process, nor will we ask for banking details or personal financial information in return for the assurance of employment. If you are concerned that an offer of employment might be a scam or that the recruiter is not legitimate, please verify by searching for "See Open Jobs" on and check that all recruitment emails come from an @livanova.com email address.

Responsibility

Adapt standard machine learning methods leveraging modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models Suggest, collect and synthesize requirements from XFN teams Code deliverables in tandem with the engineering team

Minimum Qualifications

6+ years of experience in software engineering or a relevant field. 3+

6+ years of experience if you have a PhD

2+ years of experience in one or more of the following areas: machine

2+ learning, recommendation systems, pattern recognition, data mining,

2+ artificial intelligence, or a related technical field

Experience with scripting languages such as Python, Javascript or Hack Experience with developing machine learning models at scale from inception to business impact Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts Experience building and shipping high quality work and achieving high reliability Track record of successful cross-functional partnerships Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

Masters degree or PhD in Computer Science or another ML-related field Exposure to architectural patterns of large scale software applications Experience with scripting languages such as Pytorch and TF

EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."