16,362 Machine Learning Engineers jobs in the United States
Machine Learning Engineers
Posted 5 days ago
Job Viewed
Job Description
Job Number: 25-04814
Use your skills where innovative technology solutions begin. ECLARO is looking for a Machine Learning Engineers for our client in Los Altos, CA.
ECLARO's client is a leading technology solutions provider, collaborating with customers to manage their needs and achieve success in their business goals. If you're up to the challenge, then take a chance at this rewarding opportunity!
Required Qualifications:
- 4+ years of professional ML engineering experience at an AI/ML-focused organization.
- Familiarity with the state-of-the-art in behavior learning, language, and/or computer vision.
- Experience training large-scale foundation models (VLMs, text-to-video models, etc.) utilizing distributed training and high-performance optimization techniques such as quantization, mixed precision, model parallelism, data parallelism or FSDP.
- Extensive practical experience with PyTorch.
- Strong proficiency in Python and software development best practices such as unit testing, documentation, code review, continuous integration, and dependency management.
- Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management.
- An ability to move fast and switch between modes of rapid prototyping and robust implementation as required.
- Experience deploying models on embodied systems/robots.
- Experience working in mixed teams of research scientists and engineers.
- Experience Amazon EC2, S3, and/or SageMaker.
- Experience with Bazel.
Pay Rate: $70.00-$75.00/Hour
If hired, you will enjoy the following ECLARO Benefits:
- 401k Retirement Savings Plan administered by Merrill Lynch
- Commuter Check Pretax Commuter Benefits
- Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO
If interested, you may contact:
Tim Cusick
Tim Cusick | LinkedIn
Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.
Machine Learning Engineers
Posted 5 days ago
Job Viewed
Job Description
Jobs for Humanity is collaborating with Upwardly Global and with Tiktok to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: Tiktok
Job Description
Senior Research Engineer, Machine Learning
Privacy
San Jose
Regular
R D
Machine learning
Job ID: M1758
Responsibilities
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joya mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impactfor ourselves, our company, and the communities we serve. Join us.
At TikTok, we treat privacy as our first priority in our product design and implementation. Privacy is not just about regulation compliance, but also about a more trusted way to enable technology innovation by respecting users' privacy choices! Privacy Innovation (PI) Lab is established to explore the next frontier of privacy technology and theory in the digitalized world. We provide key insights and technical solutions on privacy-related innovation for all TikTok's products. Furthermore, we also collaborate with worldwide technical and academic communities to build an open ecosystem to promote privacy friendly digital experience. PI Lab is growing fast and seeking highly experienced, bright, and capable researchers and professionals to join our team. As a member of PI Lab, you will have the opportunities to research advanced privacy technology and theory together with worldwide influential researchers, and to tackle the critical industrial challenges on privacy innovation serving billions of TikTok users by applying cutting-edge technology.
Responsibilities
- Participate in the construction of a multi-party joint modeling and data analysis platform
- Work with product teams to understand key privacy requirements from TikTok product family and convert research outcomes into technical solutions and product prototypes
- Work with research teams for complex experiments requiring optimized algorithms running on large datasets or sophisticated data processing
- Build open-source tools and infrastructure for privacy related research and engage with community contributors in external events including meetups, hackathons, summits
Qualifications
Minimum Requirements:
- PhD or Master's degree in Computer Science or a related field, or 3+ years of experience working in related fields
- Familiar with federated learning / distributed machine learning algorithms and experienced in federated learning frameworks and applications development
- Familiar with machine learning and deep learning frameworks, like TensorFlow, Pytorch, JAX
- Interest in privacy-enhanced techniques (PET) and related technical domains, including data and identity anonymization, differential privacy, secure multi-party computation, federated machine learning, on-device machine learning, interpretable AI, privacy-preserving technology for large language models (LLM) or foundation models, privacy-preserving regulation technology, etc.
- Proficiency in at least one of the following programming languages, Go, C++, Python, Rust, Java
- Ability to work globally and collaboratively within a team
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
Job Information
(For Pay Transparency)
Compensation Description (annually) The base salary range for this position in the selected city is $194,000 - $355,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:
- We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match
- Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
- Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care
- 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability
- Mental and emotional health benefits through our EAP and Lyra
- 401K company match, gym and cellphone service reimbursements
The Company reserves the right to modify or change these benefits programs at any time, with or without notice. For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems
3. Exercising sound judgment
GCP Certified Data and Machine Learning Engineers
Posted 5 days ago
Job Viewed
Job Description
Job Title: GCP Certified Data Engineer or Certified Machine Learning Engineer
Location: Remote
Duration: Part-time or Freelance Role
We are seeking Professional Certified GCP engineers in Data or Machine Learning space. This assignment is a part-time effort, and the workload can vary. The idea is to build a team of good GCP professionals in the Data/AI/ML space.
- The ideal candidate should have 10+ years of experience in Data Technologies.
- At least 5+ years of extensive experience in GCP space
- Technical proficiency in BigQuery and other related tools on GCP
- Professional GCP Certifications in Data or Machine Learning Space
Senior GenAI Machine Learning Engineers, LLM Products, Applied AI
Posted today
Job Viewed
Job Description
P-1131
The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we've launched Databricks Assistant and AI/BI Genie working with product teams, and made significant strides in LLM quality for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others.
As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale.
Key Responsibilities
- Shape the direction of our applied AI areas and intelligence features in our productsDrive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie).
- Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains.
- Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration.
- Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction.
- Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance.
- 2-8 years of machine learning engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML research in academia will be considered as an equivalent qualification.
- Strong track record of working with language modeling technologies. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, and evaluation benchmarks.
- Proficiency in Python, TensorFlow/PyTorch, and scalable ML architectures.
- Ability to drive end-to-end model development, from research and prototyping to deployment and monitoring.
- Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences.
- Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.
- Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) is a bonus.
Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You'll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.
If you're excited about pushing the boundaries of AI in real-world applications, we'd love to hear from you!
Please note we are open to employees working from our Mountain View, CA office for this position.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$166,000-$210,250 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
GCP Certified Data and Machine Learning Engineers (Mountain View)
Posted today
Job Viewed
Job Description
Job Title: GCP Certified Data Engineer or Certified Machine Learning Engineer
Location: Remote
Duration: Part-time or Freelance Role
We are seeking professionally certified GCP engineers specialized in Data or Machine Learning. This is a part-time opportunity with flexible workload. The goal is to assemble a team of skilled GCP professionals in Data, AI, and ML domains.
- The ideal candidate should have 10+ years of experience in Data Technologies.
- At least 5+ years of extensive experience in GCP environment.
- Technical proficiency in BigQuery and other related GCP tools.
- Professional GCP Certifications in Data or Machine Learning.
Senior GenAI Machine Learning Engineers, LLM Products, Applied AI (San Francisco)
Posted 3 days ago
Job Viewed
Job Description
Join to apply for the Senior GenAI Machine Learning Engineers, LLM Products, Applied AI role at Databricks
Senior GenAI Machine Learning Engineers, LLM Products, Applied AIJoin to apply for the Senior GenAI Machine Learning Engineers, LLM Products, Applied AI role at Databricks
Get AI-powered advice on this job and more exclusive features.
P-1131
The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, weve launched Databricks Assistant and AI/BI Genie working with product teams, and made significant strides in LLM quality for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others.
As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale.
Key Responsibilities
- Shape the direction of our applied AI areas and intelligence features in our products. Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie).
- Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains.
- Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration.
- Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction.
- Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance.
- 2-8 years of machine learning engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML research in academia will be considered as an equivalent qualification.
- Strong track record of working with language modeling technologies. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, and evaluation benchmarks.
- Proficiency in Python, TensorFlow/PyTorch, and scalable ML architectures.
- Ability to drive end-to-end model development, from research and prototyping to deployment and monitoring.
- Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences.
- Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.
- Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) is a bonus.
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. Youll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.
If you're excited about pushing the boundaries of AI in real-world applications, wed love to hear from you!
Please note we are open to employees working from our Mountain View, CA office for this position.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$166,000$10,250 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
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#J-18808-LjbffrSenior GenAI Machine Learning Engineers, LLM Products, Applied AI (San Francisco)
Posted 3 days ago
Job Viewed
Job Description
The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, weve launchedDatabricks Assistant and AI/BI Genie working with product teams, and made significant strides in LLM quality for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others.
As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale.
Key Responsibilities
- Shape the direction of our applied AI areas and intelligence features in our products. Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie).
- Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains.
- Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration.
- Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction.
- Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance.
What Were Looking For
- 2-8 years of machine learning engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML research in academia will be considered as an equivalent qualification.
- Strong track record of working with language modeling technologies. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, and evaluation benchmarks.
- Proficiency in Python, TensorFlow/PyTorch, and scalable ML architectures.
- Ability to drive end-to-end model development, from research and prototyping to deployment and monitoring.
- Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences.
- Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.
- Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) is a bonus.
Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. Youll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.
If you're excited about pushing the boundaries of AI in real-world applications, wed love to hear from you!
Please note we are open to employees working from our Mountain View, CA office for this position.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .
Local Pay Range
$166,000 $210,250 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook .
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit .
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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About the latest Machine learning engineers Jobs in United States !
Deep Learning Engineer
Posted today
Job Viewed
Job Description
Headquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
Key Responsibilities:
- Design, develop, optimize, and maintain software systems for the entire foundation model development and deployment lifecycle (i.e., data pipeline, pre-training, fine-tuning, serving).
- Build and maintain scalable, efficient, and reusable codebases for large-scale foundation model training, adaptation, evaluation, and inference.
- Collaborate closely with data engineers and research scientists to integrate models into production environments.
- Implement and ensure best practices in software engineering, including code quality, testing, and documentation.
- Build and optimize robust back-end systems, APIs, and databases to support complex workflows.
- Ensure code quality, scalability, and performance through rigorous testing and code reviews.
- Bachelor's, Master's degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus.
- Strong programming skills in JavaScript, Python, and modern web development frameworks, and familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton).
- Proficiency with major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed.
- Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes).
- Proficiency in back-end frameworks like Django, Flask, or Node. js, and database technologies (e.g., PostgreSQL, MongoDB).
- Expertise in distributed systems, cloud computing (AWS, GCP), and containerization tools (Docker, Kubernetes).
- Ph.D. degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus.
- Prior experience pre-training or serving large language models or large-scale foundation models.
- Experience with deep learning workflows.
- Knowledge of biological data types and challenges and experience with bioinformatics tools.
- Familiarity with version control systems like Git and CI/CD pipelines.
- Strong understanding of RESTful APIs, authentication, and deployment pipelines
- Familiarity with machine learning workflows and biological datasets.
Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Deep Learning Engineer
Posted today
Job Viewed
Job Description
The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy-all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital , Carbon Robotics is driving innovation.
As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers.
Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions.
Join us as we innovate, execute, and build the future of farming together.
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As a Deep Learning Engineer at Carbon Robotics you will design experiments to test new models and algorithms, optimize them for daily deployments to operational resources in the field, document and produce reports on your findings, and integrate them with our robotics software stack.
- Build quickly through ownership and collaboration with Engineering and Product Management
- Professional experience designing and implementing novel deep learning architectures to deliver real world computer vision solutions
- Understanding of foundational mathematical principle of deep learning architecture
- Hands-on experience across the end-to-end Machine Learning workflow - including data preparation, pipeline development, experimentation, evaluation, and deployment
- Experience with developing deep learning models at scale from inception to business impact
- Familiarity with modern object detection techniques (vision transformers, embeddings, anchor-free)
- Comfortable navigating ambiguity and evolving technical landscapes
- Effective verbal and written communication skills to explain model details and behavior to non-technical staff and customers
- Experience in deep learning model optimization and deployment
- BS+ in Data Science, Computer Science, or related field
Compensation Range spans multiple levels. Salary offered is determined by experience, level and relevant skills.
Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted. The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity - paying employees equitably for similar work.
Offers are dependent on someone experience and may be outside of the published range when appropriate. If your skills are above the posted range. Apply! We want to hear from you!
Carbon Robotics' base salary pay range:
$30,000- 290,000 USD
Why would you join Carbon Robotics?
Passion for building teams capable of solving uniquely interesting problems . Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry.
We offer competitive compensation and benefits to our full time US based* employees, including:
- Competitive salaries
- Pre-IPO Stock Options
- Generous Benefits:
- Fully-paid medical, dental, and vision insurance premiums for you and all dependents
- Choice of PPO or HDHP/HSA
- Virtual Care - Doctor on Demand
- Employee Assistance Program
- Mental Health HRA
- Restricted Healthcare Travel support
- Menopause Support
- Life Insurance
- Long Term Disability
- Flexible PTO
- 401(k) plan
- Pet Insurance
- Commuter Benefits
- Fully-paid medical, dental, and vision insurance premiums for you and all dependents
- Work Culture: Be a part of an inclusive and tight-knit company culture that values innovation and mission-driven success.
* Internationally based employees benefits varies & Contractors are not eligible for Carbon Robotics Benefits or Stock
Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment.
We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.
#talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics
Deep Learning Engineer
Posted 5 days ago
Job Viewed
Job Description
Team up with the most innovative company where Imagination becomes reality! E Ink is the originator, pioneer, and commercial leader in ePaper technology. The Fremont Research & Development team is thriving and growing as we help develop products that are changing how people access information every day. We are seeking qualified candidates who are self-driven, looking to advance their career and become a high-impact player on a team.
Our diversity of people, backgrounds, experiences, thoughts, and perspectives are fostered to create an inclusive work environment.
We offer a competitive/generous benefits package that fits the needs of our employees. It includes health, dental, vision, wellness programs, employee discounts, 401k matches, ongoing development, advancement opportunities and more. This position is also eligible for our bonus program. (see E InkOur Company)
And we're looking for a Deep Learning Engineer!
About the position:
E Ink is seeking a passionate and skilled Deep Learning Engineer to join our innovative deep learning team. In this role, you will develop and optimize modeling techniques and display driving methods for electrophoretic display systems. You will leverage your expertise in deep learning to create advanced tools and systems, enhance display performance, and contribute to the development of new products. Collaborating with cross-functional teams across global sites, you will play a pivotal role in driving innovation and achieving organizational goals. E Ink maintains a lean team where each member has strong visibility and responsibility to meet company goals. We welcome applicants that have demonstrated excellence and are motivated, flexible, and curious learners.
Responsibilities:
- Design, develop, and implement tools and systems to integrate deep learning models for electrophoretic display applications.
- Conduct in-depth analyses of model performance, architecture, and display system behavior to inform product development.
- Develop and refine novel optimization algorithms to enhance model performance and execution speed.
- Create software solutions to improve display performance using deep learning models.
- Collaborate with cross-functional teams globally to meet aggressive project timelines and deliverables.
- Conduct mathematical analyses, data mining, and system modeling to solve complex engineering challenges.
- Evaluate and optimize recurrent neural networks (LSTM, GRU, etc.) for specific applications.
- Support product development through signal processing, systems theory, and statistical modeling.
- Utilize electronic devices and laboratory equipment for performance validation and testing when needed.
- PhD, M.S., or B.S. degree in Electrical / Computer Engineering, Physics, Applied Math, or related signals & systems field plus at least three years of industrial experience
- Proficiency in deep learning optimization cycles, especially recurrent neural networks (e.g., LSTM, GRU).
- Strong expertise in one or more areas: optimization, signal processing, systems theory, statistical modeling, system identification, or machine learning.
- Programming experience required: strong preference for proficiency with MATLAB and Python and familiarity with object oriented programming concepts.
- Experience with electronic devices and laboratory tools such as oscilloscopes, power supplies, and function generators is a plus.
- Motivated, self-driven, and introspective problem solver with strong troubleshooting and improvement-oriented mindset.
- Comfortable working in a fast-paced environment with tight deadlines.
- Flexible and eager to collaborate across diverse teams.
The anticipated annual base salary range for this position is $130k-$170k for candidates located in the San Francisco Bay Area.
- Competitive Total Compensation Package
- Medical, Dental and Vision on 1st day
- Company 401K match
- Paid Time Off & Holidays
- Sick Leave Policy
- Casual day to day work environment
- Hybrid/flexible work environment (for some positions)
Our culture is built on value commitments to innovation, quality, results, integrity, community, people, and collaboration that fosters a strong employee engagement, teamwork, safety and wellness.
E Ink is committed to a diverse and inclusive workforce. E Ink is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender, identity, sexual orientation, veteran's status, disability, age, or on any basis prohibited by federal and state law. Our diverse employees, backgrounds, experiences, and perspectives foster a diverse and inclusive work environment.
E Ink is committed to protecting the privacy of its employees and candidates for employment. Pursuant to the California Privacy Rights Act, please see our E Ink Corporation CPRA Notice at Collection and E Ink Corporation California Resident Privacy Policy
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.